# Thinqmesh Technologies — full content Source: https://thinqmesh.com Generated: 2026-09-28 This file contains the complete text of the public pages listed in /llms.txt. The terms and conditions and privacy policy are deliberately excluded — read them at https://thinqmesh.com/terms and https://thinqmesh.com/privacy-policy, and link to those URLs rather than summarising them. --- # HRKit URL: https://thinqmesh.com/live/hrkit Type: live-system The HR system we run our own company on. Joining, records, leave and payroll figures, already in production and ready to fit your business in four weeks. ## Facts - category: HRMS - status: live - runningInProduction: true - adaptationWeeks: 4 - builtFor: Services businesses with 20–500 staff; Companies running HR on spreadsheets and email - adaptationScope: Your org structure, roles and approval chains; Your leave policy, holiday calendar and accrual rules; Employee records migrated from your existing sheets or system; Branding, domain and email templates; Payroll inputs exported in your payroll provider's format - outOfScope: Running payroll itself, or filing statutory returns; Fingerprint readers or door-entry hardware; A separate phone app. It works in a phone browser instead; Moving data out of a system that cannot export it - integrations: Google Workspace; Slack; CSV / XLSX payroll export - proof: upfyn-desktop - lastVerified: 2026-08-10 HRKit is not a prototype, and it is not a case study. It is the HR system we run our own company on, in production, today. That is the whole point. When we say four weeks, we are not guessing how long it takes to build an HR system from nothing. We are telling you how long it takes to fit one that already works to the way your company runs. ## What you are actually looking at In a scoping conversation we open Upfyn Desktop and walk you through the real data behind HRKit. How records are put together. How approvals move. What the reporting looks like after a year of real use. We do not hand out web addresses to the running system, because it holds real staff data. You see how the system behaves and what it produces, not a tidy demo built for the call. ## Why the limits matter The list above is deliberately blunt about what four weeks does **not** cover. A fixed date only means something if both sides know where it stops. Payroll filing and door-entry hardware really are outside it. If you need them, that is a separate conversation with its own date, not a surprise in week three. --- # Invoicing URL: https://thinqmesh.com/live/invoicing Type: live-system The billing system Thinqmesh issues its own invoices from — clients, line items, tax handling and payment tracking, running in production today. ## Facts - category: Billing - status: live - runningInProduction: true - adaptationWeeks: 3 - builtFor: Services businesses issuing recurring or milestone invoices; Teams tracking payments across spreadsheets and bank statements - adaptationScope: Your invoice template, numbering scheme and branding; Your tax treatment and the fields your accountant needs; Client and rate records migrated from your current sheets; Payment status tracking and overdue reminders; Export in the format your accounting software ingests - outOfScope: Filing tax returns, or acting as your accountant; Bank reconciliation against live bank feeds; Multi-currency treasury or hedging; Replacing an existing accounting ledger such as Tally or Zoho Books - integrations: Razorpay; CSV / XLSX accounting export - proof: upfyn-desktop - lastVerified: 2026-08-10 Thinqmesh bills its own clients through this system. Every invoice we have issued went through it. Most firms do this with a spreadsheet, a template document, and a reminder in someone's calendar. That works until you have more than a handful of clients. Then it starts to fail — quietly, which is the dangerous way. ## What adaptation actually involves Invoicing is the most template-driven system we run, which is why it adapts in three weeks rather than four. Most of the work is your numbering scheme, your tax treatment and the specific fields your accountant asks for. ## Where it stops It is not an accounting ledger and does not pretend to be. If you run Tally or Zoho Books, this feeds them — it does not replace them. That boundary is deliberate: becoming your ledger would mean becoming responsible for your filings, which is a different business entirely. --- # Learning platform URL: https://thinqmesh.com/live/learning-platform Type: live-system The training and community platform behind Thinqmesh Academy. Courses, discussions, membership and moderation, running in production and ready to fit your company. ## Facts - category: LMS - status: live - runningInProduction: true - adaptationWeeks: 4 - builtFor: Companies running internal training or onboarding programmes; Organisations with a member community to host and moderate - adaptationScope: Your course structure, chapters and activity types; Roles, membership rules and who can see what; Discussion spaces with moderation rules configured to your policy; Branding, domain and single sign-on against your identity provider; Progress tracking and completion reporting - outOfScope: Producing the course content itself — that is yours, or a separate engagement; Accredited certification recognised by an external body; Live video conferencing; the platform links out to your existing tool; Public marketplace or paid course sales in the first four weeks - integrations: OIDC single sign-on; S3-compatible object storage; Email notifications - proof: upfyn-desktop - lastVerified: 2026-08-10 This is the platform behind [Thinqmesh Academy](https://learn.thinqmesh.com/academy). Courses, chapters and activities. Plus the community around them: discussions, membership, follows, notifications and moderation. It runs in production today. Real accounts sign in through one central identity service, rather than a separate login stuck on each app. ## Why the login part matters more than it sounds Most internal training tools end up orphaned. A separate login, a separate list of people, and a slow drift away from who actually works at the company. This platform signs people in through one central service. Accounts are matched on a single shared identifier, not on an email address. So when someone joins or leaves, that flows through by itself instead of being updated twice. ## Moderation is built in, not bolted on Banned words, blocked links, slowing people down, rate limits, minimum account age and auto-locking all exist already. For an internal training group that is usually more than you need on day one. But it is there when the group grows past the point where one person can read everything. --- # AI and automation URL: https://thinqmesh.com/services/ai-automation Type: service AI put on the work it is actually good at — reading, sorting and answering — and measured on your own files before it touches anything real. ## Facts - summary: AI where it really fits. Reading documents, sorting what arrives, answering questions from your own files. - problem: One person is the bottleneck for a whole process. They read the invoices, or sort the tickets, or know where the policy lives. The same question gets three different answers, because three people answer it from memory. And work arrives faster than anyone can read it, so it piles up where nobody can see it. - painPoints: One person reads every invoice, and nothing moves when they are on leave.; The same question gets three different answers from three people.; Work arrives faster than anyone can read it.; Somebody retypes the same thing into two systems every morning.; You know a job could be automated, but not whether it is worth it. - industries: Professional services; Manufacturing; Distribution and wholesale; Education; Healthcare administration - deliverables: One job automated from start to finish, on your own system; A test set built from your real cases, where the answers are already known; A measured score on your own files, with the mistakes named; A person checking the work wherever a wrong answer costs money; A way for your team's own AI tools to ask the system questions; Ongoing checks, so accuracy cannot slip quietly after launch - mvpWeeks: 4 - proofStatus: design-concept - backedByRunningSystem: false - relatedSystems: - scopingFeeInr: 10000 - scopingFeeNote: Scoping and commitment fee. Covers the paid scoping engagement; the build is quoted separately. Booking a call is free. You already have a shortlist in your head. The thing someone retypes every morning. The question your team answers forty times a month from the same document. The pile that waits for one person to come back from leave. The hard part was never the technology. It was knowing which of those is worth automating, and being able to prove it worked. ## What it costs you Not the wages of the person doing it. The **waiting**. The invoice sits for two days. The ticket comes back on Thursday. A customer waits while somebody rebuilds an answer that already exists in a document. Waiting never appears on an invoice, and it is usually the biggest cost of the lot. ## Why now Google and the India SME Forum asked 3,249 small and mid-sized businesses about this. Their finding: putting AI into everyday operations could **lift profits by 30 to 35 per cent**, and add **more than $490 billion** across the sector. Those are numbers for businesses your size, in this market. What changed is not that AI became possible. It is that using it on one ordinary back-office job got cheap enough to be worth doing. ## What we do differently **We tell you which job first, in writing.** Before anything is built, you get a short call about the job you bring us. What can be automated, what it would be worth, and what has to be true first. That answers the question with evidence rather than enthusiasm. **We measure it on your work, not on a sales demo.** We take real cases where you already know the right answer, and that becomes the target. You get a score on your own files before it touches anything live. So "three people, three answers" becomes one answer you can check. **A person approves anything expensive.** Where being wrong costs money, someone checks the work first, and you can see what is waiting. ## Ask it from your phone Everything we build can be asked questions directly, using the standard the whole industry now agrees on. > **You, in a car park:** *"How many supplier invoices are waiting on someone, and which > are over thirty days?"* > > **The system:** Fourteen waiting. Four over thirty days. Three with Priya, one nobody > has picked up since the 2nd. > > **You:** *"Give the unassigned one to Priya, and remind me about the other three > tomorrow."* > > **The system:** Done. Recorded against your name at 16:42. You did not open anything. It was still your permission and your record. Asking is just a new door into the same house. This is not a promise about what we will learn to do. We already publish software that works this way. `browesp` runs browser tasks in your own browser, with your own logins. `CodraGraph` lets an assistant answer questions about a codebase. [So does this website](/mcp). **Orfyn** is ours too, and an ongoing project: an AI engineer that will run on your own infrastructure, under your own keys, doing the integration work that decides whether a pilot ever reaches production. Building it is why the systems we build for you arrive ready to be asked questions, rather than having it bolted on later. ## How it works **Read.** We look at your real cases and read the results by hand, before automating any judgement about them. **Measure.** We build the test set and give you an honest starting score. **Build.** The system, with a person checking anything that costs money to get wrong. **Watch.** Ongoing checks, and the same test set run against every change. ## What we guarantee **We agree what is included in writing before the clock starts.** What the system will do, what it will not, and how we will both know it worked. That document is what makes a fixed date mean anything, and you get it before you commit to a build. **We give you an accuracy number after the first week**, once the test set exists and we have measured something real on your files. Not before. A number quoted before we have seen your data is a guess, and you would be right not to trust it. **Some work has to be right every single time.** Tax, statutory filings, payroll sums. There we build the checks and the human approval around the work. We do not hand the decision to a machine. That is a deliberate choice, and we will explain it on the call. --- # Corporate training URL: https://thinqmesh.com/services/corporate-training Type: service Training for companies too small to run a graduate scheme. We measure where your team is, teach on your own tools, and report what actually changed. ## Facts - summary: Turn the people a small company can afford to hire into the engineers it actually needs. - problem: Nobody has a spare afternoon, because the person who would teach a junior is the same person shipping this quarter. The interview measured how well someone interviews, so you find out what they can really do in month four. And the training budget buys certificates that tell you nothing about what anyone can now do. - painPoints: You hire people with promise, then nobody has time to teach them.; Your senior engineer spends half their week answering the same questions.; Training budget buys certificates that prove nothing about what anyone can do.; Good people leave because they stopped learning anything.; You cannot afford senior hires, and juniors take a year to be useful. - industries: Small and mid-sized software teams; Manufacturing; Professional services; Distribution and wholesale - deliverables: A measured starting point for your team, not a self-assessment; A programme built on your own tools and next projects; Real project work, marked by a senior engineer, with written feedback; A hiring scorecard your managers can run themselves; A clear next step for each person; A closing report against the starting point - mvpWeeks: 8 - proofStatus: design-concept - backedByRunningSystem: false - relatedSystems: That is not a management problem. It is simple arithmetic. You hire for potential, and then nobody is free to grow it. ## What it costs you The good juniors leave at about eight months, because nothing was happening. So you decide that hiring at that level does not work for a company your size. It does. It just needs someone else to run the teaching. ## Why now McKinsey looked at who is actually getting a return from AI. The winners share one habit. They are **3.6 times more likely to change how the work is done**. More than half rebuild the process, rather than bolt AI onto it. Rebuilding a process is a judgement skill. It needs people who understand both the work and the technology. So the companies that win are the ones who built that skill, and it is learnable far faster than most people expect. ## What we do differently **We do the teaching, so your senior does not have to.** The programme is built around what your team will actually work on next. Your language, your tools, your setup. A course about technology you do not use produces someone good at technology you do not use. **A hiring scorecard that tests work, not conversation.** It runs against real tasks, so the month-four surprise happens in week one instead. It is the same scorecard we use for our own hiring. **Real work, marked, with written feedback.** We test where people actually are at the start, which is almost never where the CV suggests. Then we report against that at the end. You see what changed rather than taking our word for it. ## Ask it from your phone The systems we build can be asked questions, and we teach your team to use that. So the skill and the software arrive together, instead of the software arriving and nobody opening it. > **A team lead:** *"Who has not finished the deployment module, and what is holding > them up?"* > > **The system:** Three people. Two are waiting on cloud access from IT, asked for > eleven days ago. That is the difference between a programme you have to chase and one that tells you what it needs. ## How it works **Measure.** Where the team actually is, tested rather than guessed. **Design.** A programme on your tools, aimed at what they build next. **Mark.** Project work reviewed by a senior engineer, with written feedback. **Report.** A closing report against the starting point, and a next step for each person. ## What we guarantee **Every programme is built for one team, and priced in writing before it starts.** That is why there is no per-person price here. You are not buying a video library, and a fixed catalogue would mean teaching your team what we chose rather than what they need. **We assess. We do not hand out certificates.** You get a report on what each person can now do, with the evidence attached. That includes a straight answer about anyone who is not going to get there. It is usually the most valuable line in the report, and the one most providers will not give you. **We do not quote salary figures**, ours or anyone else's. We tell you what your team will have built, and who checked it. --- # ERP systems URL: https://thinqmesh.com/services/erp Type: service Stock, purchasing and job costing, built around the way your business already works. Ask it a question instead of waiting for a report. ## Facts - summary: Stock, purchasing and job costing, built around your process rather than a vendor's. - problem: Stock never quite matches the shelf, so you quote the next job from a number you do not trust. Job costs arrive after the job is done, which is bookkeeping, not running a business. And approvals live in somebody's memory, so nobody can say who agreed to what. - painPoints: You find out a job lost money after it is finished.; Stock on the screen and stock on the shelf are different numbers.; Three departments keep three versions of the same order.; Month end takes a week, and you still do not trust the total.; Nobody can tell you what a job actually cost without opening five files. - industries: Manufacturing; Distribution and wholesale; Construction; Field services - deliverables: The one job you named, running on your own system; Stock, purchasing and job costing set up your way; The places stock goes missing, found and closed before you go live; Your existing records moved across and checked; Access levels that match who does what; A record of who asked, who approved, and when - mvpWeeks: 4 - proofStatus: delivered-confidential - backedByRunningSystem: false - relatedSystems: - scopingFeeInr: 10000 - scopingFeeNote: Scoping and commitment fee. Covers the paid scoping engagement; the build is quoted separately. Booking a call is free. And you have quoted work off it anyway, because the alternative was to stop. ## What it costs you Profit you cannot see. The jobs that quietly lose money look exactly like the ones that make it. You find out at the end of the year, when it is too late to do anything. ## Why now Gartner expects **a third of business software to have AI built in by 2028**. In 2024 it was less than one in a hundred. That changes what you are buying. The question is no longer which system has the most buttons. It is whether you can simply ask it a question. Most of what is sold to mid-sized manufacturers today cannot answer one. ## What we do differently **We start with the one thing that hurts, and make it genuinely usable.** Usually stock accuracy or job costing. It works on its own, alongside what you already run, before anything else arrives. The next piece is faster, because the base is already there. **You see what a job costs while it is still running.** Not a report at the end of the month. The number as the work happens, so you can still do something about it. **Every approval leaves a record.** Who asked, who decided, when, and what the state was at the time. It costs nothing extra to build, and it is the first thing anyone looks for when there is an argument. Before any of that, **we find the places stock moves without being written down.** Most stock problems are not software problems. A system fed by a movement nobody recorded gives you confident wrong numbers, which is worse than none. ## Ask it from your phone > **You, on the shop floor:** *"What did job 2210 actually cost us?"* > > **The system:** ₹3.42 lakh, against a quote of ₹3.10. The extra is labour. 46 hours > against 32 estimated. > > **You:** *"Which other open jobs are running over on labour?"* > > **The system:** Two. 2214 and 2219, both on the same line. No screen, no export, no spreadsheet. And you found the pattern while you could still fix it. ## How it works **Find.** The places stock and cost move without being recorded. **Build.** The one job that hurts most, live and in real use. **Connect.** Move your records across, and link up what you already run. **Extend.** The next piece, faster, on the base that now exists. ## What we guarantee **We have built ERP before.** Those systems belong to the clients who paid for them, and they are covered by confidentiality. So this page tells you what we build rather than showing you someone else's business. What we carry from one job to the next is the design and the way we work, never anyone's data. That is what makes the second build faster than the first. **We agree what is included in writing before we start**, and we agree it one piece at a time. Replacing a whole operation in one go is the shape that fails. Nothing is usable until all of it is, and the date moves twice. We will say so on the call and suggest an order instead. **We ask one question before quoting: can your current system export its data?** It is the most common reason a date moves, and it is far better answered in week zero than in week ten. If the answer is no, getting the data out is its own job with its own date. We will price it that way rather than absorb it and explain later. --- # CRM systems URL: https://thinqmesh.com/services/crm Type: service A sales system shaped around how your team really sells, with entry so quick it actually gets filled in. Log a call by speaking, walking out of the meeting. ## Facts - summary: Pipeline, contacts and follow-ups, shaped around how your team actually sells. - problem: Twenty boxes to fill in means the salesperson fills three, and within a month everyone is quietly back on the spreadsheet. The stages describe what your team did, not what the buyer did, so a dead deal looks healthy for five months. And with no honest forecast you cannot plan hiring or cash. - painPoints: Your pipeline shows deals you already know are dead.; Salespeople fill in three boxes out of twenty, then go back to the spreadsheet.; A follow up gets missed because it lived in someone head.; You cannot forecast, so you cannot plan hiring or cash.; Two people call the same customer in the same week. - industries: Professional services; Manufacturing; B2B software; Education - deliverables: Your live pipeline, on your own system, with your team in it; Stages that describe what the buyer did, not what your team did; Entry cut back to what a salesperson actually knows at that point; Contacts and companies moved across from what you use now; Reminders, and clear ownership of each deal; The two reports a manager will actually open - mvpWeeks: 4 - proofStatus: design-concept - backedByRunningSystem: false - relatedSystems: - scopingFeeInr: 10000 - scopingFeeNote: Scoping and commitment fee. Covers the paid scoping engagement; the build is quoted separately. Booking a call is free. So does everyone else in the room. Nobody says it, because the system says otherwise. ## What it costs you Not the subscription. The decisions you make on a number you already know is wrong, and the month you find out. ## Why now Google and the India SME Forum studied small and mid-sized businesses that moved onto proper digital tools. **58 per cent won more customers.** Another 66 per cent reached new markets. The ones seeing that are not the ones with the most features. They are the ones whose salespeople actually record what happened. Until recently that meant sitting down at a screen. It does not any more. ## What we do differently **Ask for less.** Nothing is required unless the next stage cannot happen without it. Anything the system can work out on its own is never typed. A box nobody has filled in for two months gets removed, not chased. Its emptiness is telling you something. **Stages that describe the buyer.** They told you the budget. They let you meet the person who signs. They gave you a date. A pipeline built that way is worth forecasting from, because a deal cannot move forward just because someone felt good about a call. **Two reports, not a dashboard.** What moved this week and what did not, including deals stuck in a stage longer than that stage normally takes. And where deals actually die, which is almost never where the team thinks. ## Ask it from your phone The entry problem is the whole problem, and this is the only version of it that survives a working salesperson. > **Walking out of a meeting:** *"Log that. Met the finance director, budget confirmed at > eight lakh, security review on the 14th, they want a reference in manufacturing."* > > **The system:** Saved against Meridian. Stage moved to Budget Confirmed. Reminder set > for the 12th. Two manufacturing references available. Shall I attach them? Thirty seconds, in a car park, with both hands full. That is the difference between a system that gets filled in and one that does not. ## How it works **Map.** How your team really sells, and what they know at each point. **Cut.** Everything not needed for the next stage to happen. **Move.** Contacts and companies out of whatever you use now. **Report.** The two reports a manager will actually open. ## What we guarantee **This job covers the pipeline.** Stages, entry, moving your data, reminders and the two reports. Marketing emails, phone system links and commission rules are each real projects with their own shape. We would rather do them in order than fold one in and explain a slipped date later. **We will not build the twenty-box version**, even if you ask, and we will explain why on the call. It is the surest way to end up with a third abandoned system. Saying so before you pay is more useful than saying it afterwards. **We agree what is included in writing before we start.** --- # HR management systems URL: https://thinqmesh.com/services/hrms Type: service Joining, records, leave and payroll figures, built on HRKit, which runs our own HR. Every approval leaves a record you can find months later. ## Facts - summary: Joining, records, leave and payroll figures, built on a system that already runs our own HR. - problem: HR runs on a spreadsheet only one person fully understands, so when they are away, so is every answer. Approvals happen by email, so six months later nobody can say who agreed to what. And simple questions about headcount or leave take an afternoon, so most never get asked. - painPoints: Leave is approved on WhatsApp and recorded nowhere.; Payroll starts with someone chasing a spreadsheet.; A simple headcount question takes an afternoon to answer.; New joiners fill in the same details three times.; You cannot prove who approved what, six months later. - industries: Professional services; Manufacturing; Education; Healthcare administration - deliverables: Your HR running on your own system, with your branding; Your teams, roles and approval chains set up; A record of who asked, who approved, and when; Your existing staff records moved across and checked; Leave rules, holidays and carry-over set to your policy; Payroll figures exported in your provider's format - mvpWeeks: 4 - proofStatus: backed-by-live-system - backedByRunningSystem: true - relatedSystems: hrkit - scopingFeeInr: 10000 - scopingFeeNote: Scoping and commitment fee. Covers the paid scoping engagement; the build is quoted separately. Booking a call is free. And the answer is going to sit in the mailbox of somebody who has left. ## What it costs you A number in your accounts that nobody can work out again. And a set of questions your leadership stopped asking, because the answers cost too much to get. ## Why now Looking at where AI is actually paying off, Forbes found a clear pattern. It is the back-office work, **where the effort is highest and the return is most direct**. HR is the clearest example of that in most companies. It is not the exciting end of the business. But it is where the manual cost is highest, the same questions come up over and over, and the answers are easy to check. It pays back first. ## What we do differently **Built on HRKit, which runs our own HR.** The design is settled and already working before your project starts. So the four weeks goes into your teams, your policies and your data, not into arguing about what a staff record should contain. HRKit is open source, so you can read it before you commit to anything. **Every approval leaves a record.** Who asked, who decided, when, and how things stood at the time. It costs nothing extra to build, and it is the first thing anyone reaches for during a dispute or an audit. **Leave liability becomes a question, not a project.** Balances, carry-over and headcount are things you ask, not things you commission. ## Ask it from your phone > **You:** *"How much unused leave are we carrying in the Pune office?"* > > **The system:** ₹11.4 lakh across 34 people. Six are over the carry-over limit, and > three of those have nothing booked. > > **You:** *"Tell their managers to plan it before the quarter ends."* > > **The system:** Three messages sent, recorded against your name. That was a project last year. Now it is a question. ## How it works **Load.** Your data, in the running system, in week one. **Set up.** Teams, roles, approvals, leave rules and carry-over. **Move.** Your existing records, checked, with the odd ones flagged early rather than hidden. **Export.** Payroll figures in your provider's format, on the day they need them. ## What we guarantee **We look at your data quality in week one, not week four.** Records kept in a spreadsheet for six years are usually messy. Three different date formats. A few leavers nobody marked as gone. At least one leave balance nobody can explain. That is all normal. Finding it early is what protects the date. **We produce the figures your payroll provider needs, in their format, on their schedule.** They keep the statutory calculations and filings. That is deliberate. It is work that has to be exactly right every time, and they do nothing else. The expensive, badly solved part of HR is everything that feeds payroll, and that is what we build. **Reviews and hiring are natural next steps**, each with their own scope and date. We will plan them with you rather than promise them inside this one. --- # Learning & training platforms URL: https://thinqmesh.com/services/lms Type: service A training and community platform that uses your existing logins, with the overdue report built during the project rather than a month after launch. ## Facts - summary: Courses, membership, discussions and progress, built on a platform that already runs in production. - problem: The platform keeps its own list of people, so the moment someone joins or leaves and only one system gets updated, it is wrong. Completion percentages are the easiest number to produce and the least useful. And the rules for what people can post get decided during the first argument, which is how you end up with rules you never meant. - painPoints: You cannot show who has completed the training they had to.; New starters learn by sitting next to whoever is free.; Course material lives in one person inbox.; Compliance training is tracked on a spreadsheet nobody trusts.; People finish a course and nothing records that they did. - industries: Professional services; Manufacturing; Healthcare; Education - deliverables: A working training platform on your domain, with your branding; Your existing company logins, so there is no second list of people; Courses, chapters and activities set up; Membership, roles and who can see what; Discussion spaces with your rules set before launch; The overdue report — who has not done what, and by when - mvpWeeks: 4 - proofStatus: backed-by-live-system - backedByRunningSystem: true - relatedSystems: learning-platform - scopingFeeInr: 10000 - scopingFeeNote: Scoping and commitment fee. Covers the paid scoping engagement; the build is quoted separately. Booking a call is free. And nobody can answer it without exporting three files. ## What it costs you A compliance question you cannot answer. Joining that depends on somebody remembering to send a checklist. And a certificate expiring that nobody is watching. ## Why now Gartner expects **15 per cent of everyday work decisions to be made automatically by 2028**. In 2024 it was none. For a training platform, the interesting part is not the automation. It is what has to be true first. A system can only act on "chase everyone who is overdue" if it can be **asked** that in the first place. Most training platforms still need a person to build that report. ## What we do differently **It uses your existing company logins.** One place for identities, so joiners and leavers flow through instead of being updated twice. It is dull, and it is the single decision that determines whether the platform is still accurate in two years. **The overdue report gets built during the project.** Who has not done what they were told to, and by when. For joining, for compliance, for a certificate about to expire. It is always the first thing asked for a month after launch, so we build it first. **Your posting rules are set before you need them.** The platform already handles banned words, blocked links, slowing people down and locking old threads, because it moderates a real community today. We set them to your policy up front, not during the first incident. ## Ask it from your phone > **A training manager:** *"Who is overdue on the safety module, and when do their > certificates expire?"* > > **The system:** Eleven overdue. Four expire this month. Two in Pune, two in > Coimbatore. > > **Manager:** *"Remind those four and their managers, and book the refresher."* > > **The system:** Reminders sent. Session booked for the 19th. No export, no spreadsheet, no waiting until Thursday. ## How it works **Connect.** Your existing company logins. **Build.** Courses, chapters, activities, roles and who can see what. **Set the rules.** Posting and moderation, agreed before the first incident. **Report.** Progress, completion, and the overdue view people actually ask for. ## What we guarantee **This job covers the platform.** Structure, logins, moderation, reporting and moving your existing material across. **You write the course content**, or we do it as a separate job with its own scope. That split is deliberate. Content and platform move at completely different speeds, and putting them together is how a launch slips by months. **We connect the video tool you already use** rather than building another one. Your team knows it, and it works. **Exams with supervision and official qualifications** are questions about awarding bodies, not about software. If you need them, tell us early and we will tell you what is really involved. --- # Website development URL: https://thinqmesh.com/services/website-development Type: service Websites built so search engines and AI assistants both read you correctly. Your team edits the words, and the site rebuilds itself. ## Facts - summary: Fast, clear websites built so search engines and AI assistants both understand you. - problem: There is nothing on your site that a machine can read properly. So something gets made up about you, from old scraps and a five-year-old directory listing. Nobody can change a word without a developer, so the typo stays. And it takes four seconds to load on a phone, by which point they have gone. - painPoints: People find your site and still cannot tell what you actually do.; Nobody has updated it in two years because it is too hard to change.; It looks wrong on a phone, which is where most people open it.; You have no idea how many enquiries the site is losing.; When someone asks an AI about your company, the answer is wrong. - industries: Professional services; Manufacturing; B2B software; Education - deliverables: A fast, clear website on your own domain; Words your team edits, with the site rebuilding itself; A machine-readable layer, so assistants quote you correctly; Contact forms wired into the systems you already use; Speed and accessibility checked automatically on every change; A handover session and a short written guide - mvpWeeks: 4 - proofStatus: backed-by-live-system - backedByRunningSystem: true - relatedSystems: hrkit - scopingFeeInr: 10000 - scopingFeeNote: Scoping and commitment fee. Covers the paid scoping engagement; the build is quoted separately. Booking a call is free. Whatever it just said is what your next customer is going to hear. ## What it costs you Not visitors. **Accuracy.** This is the version of your company that gets described to buyers when you are not in the room. And you cannot correct what you cannot see. ## Why now Search engines are no longer the only machines reading your website. AI assistants read it too, and they answer questions about you all day. There is now a settled way to give them the right answer. It is called MCP, and the biggest names agreed on it fast: OpenAI in March 2025, Google and Microsoft that May. By December 2025 it had been handed to the Linux Foundation, backed by AWS, Google, Microsoft, OpenAI, Bloomberg and Cloudflare. So being readable by machines is now a build decision, not a research project. ## What we do differently **We build the machine-readable part first, not last.** Structured data, a plain file listing what you do, and a live connection an assistant can query. Ask about your company and it gets your actual words back. **Your team edits the words, in one place.** Change a sentence once. The page, the structured data and the machine layer all update together, because they read the same file. Nothing is kept in two places, so nothing drifts apart. **Speed and accessibility are checked by the computer.** Colour contrast, layout on small phones, and keyboard use are all tested automatically. If any of them fail, the change does not go live. ## Ask it from your phone **This site is the example.** The connection is live, and you can point your own AI assistant at it right now. Not a screenshot. Not a meeting. A web address. > **A buyer, mid-call, to their own AI:** *"What does Thinqmesh build, and what does a > job with them actually cover?"* > > **Their assistant, after reading our site:** it lists the services and what each one > covers, straight from the same file that draws these pages. That is what we would build for you, on your words. ## How it works **Structure.** Your words, written down once, as the single source. **Build.** The pages, with the machine-readable layer made alongside them. **Check.** Contrast, small screens and keyboard use, all tested on every change. **Hand over.** A session and a short guide, so your team edits without us. ## What we guarantee **This job covers the site.** Pages, structure, moving your existing words across, the machine layer, contact forms, and a handover with a written guide. **We will tell you plainly what the machine layer does.** It makes you accurate to the systems that describe you, once someone finds you. It is not a way to get more visitors, and we would rather say that here than sell it as one. **Writing, branding and photography are separate crafts**, and an online shop is a separate job with its own moving parts. We will point you at good people for the first three, and quote the fourth properly if you need it. --- # Mobile apps URL: https://thinqmesh.com/services/mobile-apps Type: service Apps for the people working away from a desk. They work with no signal, and they run on the same system and logins as everything else you use. ## Facts - summary: For people doing the work away from a desk. Same system as your other software, and it works with no signal. - problem: Work gets written down hours late, by somebody else, with the mistakes that brings. The last app your team tried needed a signal, so somebody lost an hour in a warehouse and never opened it again. And it kept its own separate records, which stopped matching everything else within a year. - painPoints: Your field team writes on paper, then someone types it in at night.; Photos of jobs sit on personal phones.; You find out about a problem on site the next day.; There is no signal where the work happens, so nothing syncs.; The office and the van are always working from different information. - industries: Field services; Manufacturing; Distribution and wholesale; Construction; Healthcare administration - deliverables: One app that works on both iPhone and Android; Works with no signal, and catches up when the signal comes back; Tested on a genuinely bad connection, not just in the office; The same logins and permissions as your other systems; Photos, barcodes, signatures and location, where the job needs them; Published under your own store accounts, not ours - mvpWeeks: 4 - proofStatus: design-concept - backedByRunningSystem: false - relatedSystems: - scopingFeeInr: 10000 - scopingFeeNote: Scoping and commitment fee. Covers the paid scoping engagement; the build is quoted separately. Booking a call is free. A technician finishes a job and writes it on paper. A driver rings the office to confirm a delivery. A supervisor counts stock into a notebook. ## What it costs you You make decisions on yesterday's picture. And your team quietly goes back to paper, which you usually find out during an audit. ## Why now Two things changed, and both are about the person holding the phone. **One app can now serve both phone types properly.** A real field app used to mean two teams and two budgets. It does not any more. **And the best way to record something on site is often to say it.** Your hands are full. Voice now works well enough to put in front of someone who has no interest in software at all. ## What we do differently **It works with no signal.** The app keeps what it captured and catches up later. That includes the tricky part: what happens when two people change the same job while both are offline. **Same system, same logins.** No second set of records to go out of step. If someone loses access on Friday, they lose it in the app too, without anyone remembering to do it separately. **It records things where the work happens.** Photos, barcodes, signatures and location, attached at the moment they mean something. Not typed up later from memory. ## Ask it from your phone The app is the phone, so this one is simple. > **A supervisor, on site:** *"What is left on this job, and do we have the parts?"* > > **The system:** Two tasks open. Both need part 4471. Three in the Pune store, none on > the van. > > **Supervisor:** *"Order two, and tell the customer we are back Thursday."* The other useful pattern is just reading. Today's numbers, without opening a laptop. It is far less work than people expect, and it is often what gets the app opened daily. ## How it works **Capture.** The job, recorded where it happens, with or without a signal. **Catch up.** We agree the rules for clashes first, then test them on a bad connection. **Connect.** Same system and permissions as everything else you run. **Publish.** We put it in the stores under your own accounts, with crash reporting already switched on. ## What we guarantee **We agree the clash rules before we build, not after you go live.** What happens when two people edit the same job offline is the question most app projects find out the expensive way. We answer it in writing, per job type, and test it. **We publish under your accounts and see you through review.** Apple and Google set their own review times. We plan the launch around that rather than promise a date that is not ours to give. **We price hardware once we have seen it.** Scanners, printers and vehicle trackers vary enormously. Tell us what is out in the field and we will quote it properly. --- # Marketing URL: https://thinqmesh.com/services/marketing Type: service Marketing for companies that sell something technical. A site people find, content that answers real questions, and a machine-readable layer so AI assistants can quote you. ## Facts - summary: Get found by the people looking for you, and by the assistants they now ask first. - problem: Buyers used to search, read three sites and call one. Now they ask an assistant, and it answers from whatever it can read. Most company sites cannot be read that way, so they get summarised badly or left out. Meanwhile the site itself was built once, by somebody who has left, and nobody can change a page without raising a ticket. - painPoints: You rank for your own name and nothing else.; Nobody on your team can edit a page without asking a developer.; You cannot tell which enquiries came from where.; Your best answers live in email, not on your site.; An assistant asked about your market does not mention you. - industries: Manufacturing; Professional services; B2B software; Distribution and wholesale; Education - deliverables: A site your own team can edit, page by page; Pages written around the questions buyers actually ask; A machine-readable layer so assistants can quote you accurately; Search and technical fixes, with the before and after recorded; Enquiry tracking, so you know which page did the work; A short monthly report in plain language - mvpWeeks: 4 - proofStatus: delivered-confidential - backedByRunningSystem: false - relatedSystems: Most marketing advice for technical companies assumes you sell something simple. You do not. Somebody has to understand the product before they can write a sentence about it. ## What we actually change **The pages, not the logo.** A rebrand is a project with no number at the end of it. We start with the pages a buyer lands on, because that is where an enquiry is won or lost. **The questions, not the keywords.** Your sales calls repeat the same six questions. Those are the pages. Written properly, they do the first half of the call for you. **The part software reads.** This is the piece almost nobody has. Your site can publish a version of itself that an AI assistant can read directly and quote accurately. We build that layer for clients. It is running on this site — [point your own assistant at it](/mcp) right now and see what it says about us. ## Why we can do this at all We build the software underneath websites, so nothing here needs a second supplier. If a page needs live stock, or a form needs to land in your CRM, it is the same team on the same day. ## What we will not do We do not buy followers, write fake reviews, or publish a number we cannot show you where it came from. We also will not tell you marketing is your problem when it is not. If the honest answer is that your product needs work first, we will say that on the call. --- # Analysis and reporting URL: https://thinqmesh.com/services/analysis Type: service Reporting and dashboards for companies whose numbers live in five places. One agreed figure, refreshed automatically, that your team stops rebuilding in a spreadsheet every month. ## Facts - summary: One number everybody agrees on, instead of five spreadsheets that disagree quietly. - problem: The data exists. It sits in the accounting system, the stock sheet, somebody's inbox and a spreadsheet that only one person understands. So every month a person spends three days rebuilding the same report by hand, and by the time it is read it is already old. Nobody quite trusts it, so decisions get made on instinct anyway. - painPoints: Month-end takes three days of somebody copying between spreadsheets.; Two reports on the same question give two answers.; The only person who understands the sheet is on leave.; You find out a job lost money after it finished.; Your dashboard looks impressive and nobody opens it. - industries: Manufacturing; Distribution and wholesale; Professional services; Healthcare; B2B software - deliverables: An agreed definition for each number, written down before anything is built; One place the figures are pulled from, refreshed on a schedule; Dashboards for the three or four decisions that actually get made; The month-end report produced without anyone rebuilding it; Alerts when a figure moves past a line you set; A handover so your team can add a report without us - mvpWeeks: 4 - proofStatus: delivered-confidential - backedByRunningSystem: false - relatedSystems: Almost nobody has a data problem. They have an agreement problem. Two teams count a "delivered order" differently, and every report after that inherits the argument. ## Where we start **With the definitions.** What counts as revenue this month. When a job is finished. What a lost enquiry is. We write these down and get them agreed before anything is built. A beautiful dashboard on top of a disagreement is just a faster argument. **With the decisions, not the data.** We ask what you decide weekly, and what you wish you knew a month earlier. That list is short, and it is the whole design. ## What you get that a spreadsheet cannot give you The figures refresh themselves. Nobody rebuilds the report. When a number moves past a line you set, somebody hears about it that day rather than at month-end. And because it reads from the systems we build, the same numbers can be asked for out loud. Your assistant can answer "what did we ship last week" without anyone opening a file. ## Where we say checks belong instead Anything that has to be right every time — tax, payroll, statutory filing — is not a dashboard question. Those get built with checks and human approval, and we will not blur the two. A figure used for a decision and a figure used for a return are different jobs. --- # Integration URL: https://thinqmesh.com/services/integration Type: service Connecting the systems you already pay for, so data stops being retyped. One login, one source for each fact, and an interface your AI assistant can drive too. ## Facts - summary: Stop paying a person to be the bridge between two systems that will not talk. - problem: Every business ends up with software that half fits, bought at different times by different people. So a person retypes an order from email into the stock system, and again into the invoice. Nobody planned that job. It appeared, and now it is load-bearing, which means one person going on leave slows the whole company down. - painPoints: The same order gets typed into three different systems.; Everyone has four logins and one of them is shared.; You find out stock was wrong when a customer tells you.; A report is only right if somebody remembered to export it.; Your new tool cannot see anything the old tool knows. - industries: Manufacturing; Distribution and wholesale; Professional services; Healthcare; B2B software - deliverables: A map of every system, and which one owns each fact; Connections built between them, running on a schedule or on an event; One sign-in across the systems we connect, where the tools allow it; Failures that raise an alert rather than going quiet; A machine-readable interface, so an assistant can drive it too; Documentation your own developer can pick up - mvpWeeks: 4 - proofStatus: backed-by-live-system - backedByRunningSystem: true - relatedSystems: learning-platform The integration in most companies is a person. They know that the order has to be entered in the stock system before the invoice, and that the export is wrong on Mondays. That knowledge is not written down anywhere. ## What we do first **We work out who owns each fact.** Two systems both holding a customer address is not integration, it is a future argument. One system owns it, the others read it. **We check whether the connection should exist at all.** Sometimes the honest answer is that one of the two tools should go. Building a bridge to software you are about to replace is money spent twice. ## We run this ourselves The learning platform behind Thinqmesh Academy signs people in through one central identity service rather than a separate login stuck on each app. That is [a running system](/live/learning-platform) doing the thing this page describes, and we can walk you through it. ## The part most suppliers leave out Anything we connect gets an interface software can drive, not just people. That is how the systems we build can be asked questions by your own AI assistant later, without another project to make it possible. It is [running on this website](/mcp) if you want to try it first. ## Where this gets expensive Moving history out of a system that cannot export it is a real job with its own date. So is anything touching payments or statutory records, where a wrong figure is not a bug but a filing. We put those in order rather than absorbing them and explaining a slipped date later. --- # Support and maintenance URL: https://thinqmesh.com/services/support Type: service Ongoing support for systems already running, whether we built them or somebody else did. Named response times, a person who knows your setup, and small changes that actually ship. ## Facts - summary: Keep a running system running, and keep changing it, without hiring a developer. - problem: A build ends and the attention goes with it. Six months later there is a bug nobody owns, a library that stopped being updated, and a change everybody agrees is small that has been waiting since March. The person who built it has moved on. So the system slowly stops matching the business, and the workarounds start. - painPoints: A small change has been waiting three months for somebody free.; The person who built it has left, and nothing was written down.; You do not know whether your backups actually restore.; Something breaks and nobody is sure whose job it is.; You are paying for a system the team has quietly stopped using. - industries: Manufacturing; Distribution and wholesale; Professional services; Healthcare; Education - deliverables: A named response time for each kind of problem, agreed in writing; One person who knows your setup, not a queue; Security and dependency updates applied and reported; Backups tested by restoring them, not by checking a box; A monthly allowance of small changes that actually ship; A written handover, kept current, so you are never locked in - mvpWeeks: 2 - proofStatus: delivered-confidential - backedByRunningSystem: false - relatedSystems: Most systems do not fail. They drift. The business changes, the software does not, and people build spreadsheets around the gap until the spreadsheets are the real system. ## What support actually means here **A person, not a queue.** The same engineer sees your setup every month, so the third request does not need the whole story again. **Response times in writing.** What counts as urgent, and what happens then, agreed before anything goes wrong rather than argued about during. **Backups proved by restoring them.** A backup nobody has restored is a belief, not a backup. We test yours and tell you how long a real restore took. ## The small changes are the point Uptime is the easy half. The reason systems get abandoned is that changing them became slow, so people stopped asking. A monthly allowance of small changes keeps the software matching the business, which is the only thing that stops the workarounds starting. ## What we will not do We will not take on a system we believe cannot be kept safe. And we will not stay quiet about one that is drifting toward a rebuild. Both are easier to say early. Neither gets easier to say later. --- # About Thinqmesh URL: https://thinqmesh.com/about Type: page We build the software businesses run on. Most of it is already built, which is why yours takes weeks rather than months. We build the software companies actually run on. HR systems, sales systems, stock and job costing, training platforms, phone apps and the websites in front of them. We also put AI on the work where it genuinely helps, and we train small teams to run all of it. What makes us different is not a method. It is that we do not start from nothing. What we sell is software that already runs here, fitted to your business. That is why a build takes four weeks rather than four months. ## What we actually run This is not a list of things we once shipped for somebody else. HRKit runs our own HR. Our invoicing system sends our own invoices. The platform behind Thinqmesh Academy delivers our own training, and signs people in through our own identity service. We build our own products too. [Upfyn](https://upfyn.com) is live: an AI that does the work on your own computer, and our engineers use it on real client work, not on a slide. Orfyn, an AI engineer that will run on your own infrastructure under your own keys, is an ongoing project. And the machine-readable layer we build for clients is running on this website — you can [point your own AI assistant at it](/mcp) right now. That matters for a simple reason. When we say something works, you can check it. Very little else on a consultancy website can be checked. ## How we scope a project A few things we settle before anyone commits. They are the ones that decide whether a project lands. **Where AI belongs, and where checks belong instead.** Anything that has to be right every single time — payroll sums, tax, statutory filings — gets built with checks and human approval around it. We do not hand that decision to a machine, and we will explain why on the call. **What four weeks covers.** A first working version, agreed in writing first. Large multi-year programmes, regulated work and moving data out of systems that cannot export it are all real jobs with their own dates. We put them in order rather than absorb them and explain a slipped date later. **Why nothing here carries a client's name.** Every job is confidential by default, whether or not anyone asked. So work we have delivered gets described rather than displayed, including the parts we are proudest of. Your name would be protected the same way. ## Who builds it Our work is led by senior people, with a team we trained and assessed ourselves through [Thinqmesh Academy](https://learn.thinqmesh.com/academy), our own learning platform. That matters more than it sounds. Nobody joins a client project after a forty-five minute interview. They join after months of work we have marked, on the same systems we would be fitting for you. That tells you far more about someone than a conversation. And because we are fitting software that already runs, rather than designing from scratch, the usual danger of a fast project is designed out. The hard decisions were made and tested long before your project starts. The same programme is what we sell as corporate training. If you are a small company, you cannot outbid a big one for senior engineers. Hiring for potential still works. The problem is that nobody on your side has a spare afternoon to grow it. We run that part. ## What we think is really happening with AI Not that engineering jobs are about to vanish. What we see is the floor rising. Tools now do more of the routine work. So doing only the routine parts is worth less. Judging whether the answer is right is worth a lot more. That is a training problem before it is a technology problem. It is why AI work and training are the two things we are pushing hardest. Buying a system nobody in your company can judge is just buying a dependency. ## How to check any of this Book a call and bring one job that somebody does by hand. We will go through what could be automated, what should not be, and what it would take. If the honest answer is that you do not need us, we will say that on the call. ---