Bhavnagar, Gujarat · Clients across India and abroad
--:-- ISTConnectGo Infoware builds the software, automation and AI systems that businesses run on — for founders shipping a first product, for owners who have outgrown spreadsheets and WhatsApp groups, and for IT leads who need a partner still there six months after go-live.
Capability model stages: Business, AI, Automation, Applications, Data, Cloud.
Capability model
01
You talk to the people building it
02
Written scope before a line of code
03
You own everything we build
What we do
Most companies do not have a technology problem. They have four tools that do not talk to each other, one person who knows how everything works, and no reliable way to see what happened last month.

Artificial intelligence
Buying a chatbot licence is not an AI strategy. The work that changes a P&L sits further in: a model trained on your own records, an agent that clears the support queue nobody wants, a pipeline that reads two thousand invoices a week so a person does not have to. That is what we build. And when a plain rules engine would do the same job for a tenth of the cost, we will tell you that instead of selling you a model.
What we actually build
Interfaces where your team asks questions in plain language and gets answers drawn from your own documents, records and history. Built with retrieval, not guesswork.
Invoices, purchase orders, lab reports, contracts, shipping documents. Read, structured, validated and pushed into the system that needs them.
Forecasting demand, scoring leads, flagging the order that is about to go wrong. Trained on what already happened in your business.
Multi-step processes that run without a person in the loop, with a person in the loop exactly where you decide one is needed.
Services
Eleven services, grouped the way projects actually run. Design and build it. Make it intelligent. Keep it running and keep it safe. Then grow it. Take one piece, or hand us the whole thing.
Index
Put AI to work on the tasks that eat your team's week.
Software, web and mobile, engineered to last.
The infrastructure and safeguards underneath it all.
Make it clear, usable and findable.
Start from the problem
Most people arrive knowing the problem, not the service name. Pick the one that sounds closest to your situation and we will show you what the work involves and where to read more.
01 · The situation
You bought the product, then built a spreadsheet next to it for the three things it could not do, then a second spreadsheet to reconcile the first. We build the system that replaces all of it, shaped around your process rather than someone else's idea of it. Usually it starts smaller than people expect: one workflow, done properly, then the next.
What this usually involves
02 · The situation
A SaaS product is not just an app with a login. It is tenancy, roles, billing, onboarding, usage limits, and a support story, and every one of those is cheaper to get right at the start than to retrofit at two hundred customers. We help you decide what version one actually needs, build it, and put it somewhere it can grow.
What this usually involves
03 · The situation
We start with what the app is for and how often someone would genuinely open it, because that answer changes the entire build. Then we decide native or cross-platform on the evidence rather than the fashion, and we design for the offline moment, the slow network and the two-year-old handset that a lot of your customers are actually using.
What this usually involves
04 · The situation
Somewhere in your business, data is being re-typed from one screen into another, a file is being renamed by hand, and a person is waiting for someone else to notice an email. We find those, work out which ones are worth automating, and build the automation. We also tell you which ones are not worth it, because some are not.
What this usually involves
05 · The situation
The interesting version is not a chat box in the corner. It is search that understands what the user meant, a draft written before they ask, a warning raised before they would have noticed. We work out which of those your product can support with the data it already has, then build it into the existing codebase without a rewrite.
What this usually involves
06 · The situation
Most business websites fail on one of three things: they take too long to load on a phone, they never explain what the company is actually good at, or they make contact feel like a commitment. We rebuild for all three, then keep working on it with real search and behaviour data rather than opinions.
What this usually involves
07 · The situation
If a release is an event people schedule around, or if your last security question came from a customer's procurement form and nobody knew the answer, this is the work. Infrastructure as code, pipelines, monitoring that pages the right person, access control, and the documentation an enterprise buyer will ask for before signing.
What this usually involves
08 · The situation
Sales in one system, stock in another, accounts in a third, and a monthly report that takes two days to assemble and is out of date when it lands. We connect the sources, agree what each number means, and build the view your team will actually open. Then we set alerts so the important changes come to you.
What this usually involves
Industries
Domain knowledge shortens everything. When we already understand how a diamond unit tracks lots through job work, how a hospital handles a no-show, or how a plant schedules a line around one slow machine, discovery takes days instead of weeks and the first build is closer to right.
A sector gets its own page here once we can evidence the work behind it. Until then it is described as capability and nothing more. The diagrams on this page are drawings of how a system is shaped, not screenshots of a delivered one.
01 / 09 · Published page
Stock here is small, valuable and usually somewhere else — a karigar's bench, a grading lab, a retailer's memo. Identity, location, owner and weight all move independently.
What the system has to record
02 / 09 · Published page
The plant knows more than the office does. Capture material, machine time, downtime and rejections where the work happens, and a job cost is assembled rather than estimated.
What the system has to record
03 / 09 · Published page
A clinician has ninety seconds and a front desk has a queue. One patient identity, consent held as queryable data, and an audit log covering reads as well as writes.
What the system has to record
04 / 09 · Capability
The stock figure on the website and the stock figure in the warehouse have to be the same number. Catalogue operations, checkout, and the integration underneath both.
What the system has to record
No page for this sector yet. We publish an industry page only once we can evidence the work behind it, so this is described as capability rather than as delivered work.
How we decide what gets a page05 / 09 · Capability
Auditability is the specification, not a feature. Lending, payments, reconciliation and KYC flows where every state change carries an actor, a prior value and a timestamp.
What the system has to record
No page for this sector yet. We publish an industry page only once we can evidence the work behind it, so this is described as capability rather than as delivered work.
How we decide what gets a page06 / 09 · Capability
A listing portal is a workflow problem wearing a gallery. Enquiry routing that does not lose a lead, site progress, and the document set behind a sale.
What the system has to record
No page for this sector yet. We publish an industry page only once we can evidence the work behind it, so this is described as capability rather than as delivered work.
How we decide what gets a page07 / 09 · Capability
Ordinary load for most of the term, then exam day. Learning platforms, portals and assessment engines have to be sized for the peak rather than the average.
What the system has to record
No page for this sector yet. We publish an industry page only once we can evidence the work behind it, so this is described as capability rather than as delivered work.
How we decide what gets a page08 / 09 · Capability
Goods move and the paperwork has to move with them. Trip and fleet management, dispatch, warehouse operations, and a tracking view a customer can read.
What the system has to record
No page for this sector yet. We publish an industry page only once we can evidence the work behind it, so this is described as capability rather than as delivered work.
How we decide what gets a page09 / 09 · Capability
Booking is the easy part. Package and itinerary management, supplier integration, and the refund logic that decides whether it holds up at volume.
What the system has to record
No page for this sector yet. We publish an industry page only once we can evidence the work behind it, so this is described as capability rather than as delivered work.
How we decide what gets a pageTechnology
Not a logo wall. This is the working index — grouped by layer, with a line against each entry saying what we use it for. If something is missing from this list, we will say so rather than learn it on your budget.
Technology index
06 groups · 29 entries
The layer people actually touch. Built as typed components against a design system, so screens stay consistent as the product grows.
Business logic, integrations and the APIs everything else depends on. We work in more than one runtime because the right one depends on the team that will maintain it.
Cross-platform where one codebase is the honest answer, native where the platform genuinely matters.
Schema design first, engine second. Relational by default; document stores where the shape of the data earns it.
Applied to a named business problem with a measurable before and after — not bolted on as a feature label.
Where it runs, how it ships and what happens at 2am. Provisioned as code so an environment can be rebuilt rather than remembered.
Listed because we build with them. No vendor logos, no partner or certification badges, and no proficiency scores — none of those would tell you anything you could check.
Selected work
We would rather say that than write three that sound plausible.
The work we do most is the unglamorous kind: a lot-tracking system that replaced a shared spreadsheet, a document pipeline that reads what a person used to re-type, an ageing application moved to infrastructure that stops paging someone at midnight. Writing any of that up properly means naming a client, showing their screens and quoting their numbers, and that needs their written permission first. We are working through those conversations now.
In the meantime, ask us on a call. We will walk you through a project close to yours, including the parts that went wrong.
Before anything appears here
Until all three are true, this section stays as it is.
How to judge us
Counting finished projects tells you how busy a company has been, not how it behaves when something goes wrong. These are the four things we hold ourselves to, and you can hold us to them from the first call.
No account layer between you and the engineers. The person who scopes your project is the person who writes the code.
Every engagement starts with a documented scope, a delivery plan and a fixed review cadence. You always know what is being built this fortnight.
Source code, infrastructure accounts and documentation are yours from day one, handed over in your own repositories.
Typed code, README, environment setup and deployment notes. If you bring the work in-house later, your team can pick it up.
How we work
Nobody enjoys the version of software delivery where you approve a scope document and then hear nothing for eleven weeks. Ours runs in the open. You will know what is being built, what it costs and what is behind, while there is still time to do something about it.
We sit with the people doing the work today and map what actually happens, including the workarounds nobody documented. Usually the real problem is one layer below the stated one.
Scope, architecture, timeline and cost, written down in language you can check. If the honest answer is that the project should be smaller, this is where we say so.
Two-week cycles, a working demo at the end of each one, and a shared board you can open any time. Change requests are priced when they arrive, not at the end.
Migration, training, monitoring and a rollback plan. We assume something will go wrong on day one, because it usually does, and we plan for it.
Real usage data, a backlog that reflects it, and a support arrangement agreed before launch rather than negotiated during an outage.
You know what you need. We agree the scope, the price and the date, and we deliver against it. Best for a defined build with a clear finish line.
You need capacity that stays. A team works only on your product, in your tools and your standups, month to month. Best when the roadmap is longer than the project.
Something already exists and needs to keep working and keep getting better. Agreed response times, a monthly allocation, no scramble when something breaks.
AI opportunity assessment
Most teams sit somewhere between having data nobody looks at and having run a pilot that quietly stopped. Answer eight questions about how your business runs today and we will send back a written read: where AI would pay off first, where it would not be worth the effort, and what has to be cleaned up before either is possible. No pitch deck.
A person reads your answers and writes the reply.
Bhavnagar, Gujarat
We work from Bhavnagar, Gujarat, with clients across India and abroad. Distance is a process problem, and process problems have answers. Overlapping hours so you are not waiting overnight for a reply. One person accountable, not a rotating cast. Decisions written down where you can find them. Code in your repository from the first commit.
Before you call
If yours is not here, ask it in the form below and you will get a real answer, not a brochure.
7 questions · all answers in the page source
It depends on scope, and any firm number before we understand the scope would be invented. What we can do quickly is give you a range and the assumptions behind it, off the back of a first conversation. If the range does not work for you, we will say what a smaller first version would look like instead.
A focused first version is usually a matter of weeks rather than months, and a full platform is longer. We give you a timeline in the Shape stage, before you commit to the build, along with what would make it slip.
You do, entirely, from the first commit. Your repository, your cloud accounts, your data. IP assignment is in the contract before work starts.
Yes, and a good share of our work is exactly this. We plug into your repository, your standups and your review process, either to add capacity or to bring in something your team has not done before, such as an AI or infrastructure workstream.
Yes. We agree overlapping working hours at the start, keep decisions in writing, and can work under contract terms and data arrangements that suit your jurisdiction.
Whatever we agreed before launch. A support arrangement with response times is part of the scope, not an afterthought, so nobody is negotiating terms during an outage.
Yes. A lot of what gets sold as AI is a workflow problem or a data-quality problem wearing a different hat. If a simpler fix does the job, that is what we will recommend, and we will explain why.
The next step
Send us the rough version. You will get back a straight answer on what we would build and whether we are the right people for it.
What happens next
Based in Bhavnagar, Gujarat. Building technology for businesses everywhere.
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