Everything below is delivered by the same team. Most clients start on one track and pick up the others once they see the handover seam disappear.
New software, or a rescue of something that has stopped serving you. Fixed scope, two-week iterations, working software you can use before it is finished.
Customer portals, admin dashboards, and the internal tools that run your day.
Most of what we build replaces a spreadsheet that outgrew itself. We start from the workflow people actually follow, not the one the org chart describes, and ship something they can use in weeks rather than quarters.
One codebase for iOS and Android, or native when the app earns it.
Field teams, delivery drivers, and customers on the move need apps that survive a bad signal. We design for offline first, then sync when the bars come back.
Windows software for the counter, the office, and the shop floor.
Some work still happens at a desk or a counter, often on a patchy connection and next to a printer or a scanner. We build desktop software that keeps working offline and syncs with your server when it can.
Connect the systems you already pay for so nobody re-types data at 6pm.
Your ERP, your CRM, your accounting package, and the warehouse scanner were never designed to talk to each other. We write the layer in between, with retries, logging, and alerts when an upstream system goes quiet.
Screens people understand the first time, designed before a line of code.
Good design in business software is mostly about removing steps. We watch people do the job, sketch the flow, and test clickable prototypes with real users before the build starts, so the expensive changes happen on paper.
Find the bugs before your customers do, on every release, not only the first.
Testing is a part of the build, not a phase at the end. We write automated tests alongside the code, test on real devices, and run the checks on every change, so a fix in one place does not quietly break another.
The half that never ends. Monthly retainers with a named responder, an agreed response time, and no lock-in beyond the notice period.
Move off the server in the corner without losing a weekend to downtime.
We audit what is actually running, map the dependencies nobody documented, then move workloads in stages so there is always a way back. Cost modelling comes before the migration, not after the first bill.
Ship on a Tuesday afternoon instead of a Saturday night.
A release should be boring. We build the pipeline that tests, builds, and deploys every change the same way, so the difference between a hotfix and a feature is only how nervous you feel.
We watch the graphs so your team does not have to.
Uptime is a habit, not a promise. We instrument the things that break, set alerts that mean something, and respond on an agreed schedule, including the hours when nobody is at a desk.
Laptops, identity, Wi-Fi, backups, and someone who answers when it breaks.
The unglamorous layer that decides whether a Monday goes well. We standardise devices, lock down identity, and keep a real person on the other end of the ticket.
Practical AI on your own data: assistants, agents, document processing, forecasting, and vision. Measured before launch, with a person in charge of anything that matters.
Put large language models to work on your own documents and data.
Most companies already have the answers, buried in PDFs, emails, manuals, and the ERP. We build applications that find and use them: search that answers in plain language, assistants that draft from your templates, and summaries of records nobody has time to read.
Software that reads, decides, and acts across your systems, with a person in charge.
An AI agent can do more than answer questions. It can read an order from an email, check stock, create the sales order, and ask a person to approve it. We build agents for well-defined, repetitive work, with clear limits on what they may do alone.
Invoices, purchase orders, and forms read automatically into your systems.
Indian businesses still run on paper and PDFs: supplier bills, delivery challans, purchase orders, KYC documents. We build pipelines that read them, pull out the fields that matter, check them against your records, and send only the doubtful ones to a person.
Answer customers on your website and WhatsApp, day and night, from your own information.
Customers ask the same questions all day: price, stock, delivery, order status. An AI assistant answers from your catalogue, your policies, and your order system, in the customer's language, and hands over to a person when it should.
Use the data you already collect to see what is coming, not only what happened.
Sales history, stock movements, machine readings, and payments hold patterns people cannot see in a spreadsheet. We clean and connect that data, then build forecasts and alerts your team can act on, with clear explanations of why.
Cameras that inspect, count, and read, on the shop floor and in the field.
A camera and a trained model can check every part, not a sample, and never get tired at the end of a shift. We build vision systems for quality inspection, counting, and reading labels and meters, running on the edge or in the cloud.
Three ways to work with us. Pick the one that matches how settled the requirements are.
Quoted per project
You know what you need. We write the scope, quote once, and absorb our own estimation mistakes.
Best when the requirements are settled.
Monthly per engineer
Two to six engineers working only on your roadmap, in your tools, at your stand-ups. Thirty days notice either way.
Best when the roadmap is still moving.
Monthly retainer
We hold the pager for your infrastructure. Patching, monitoring, backups, and a quarterly resilience review.
Best when it is already live and nobody is watching it.
We keep a deliberately narrow stack so that any engineer here can pick up any project.
Send a paragraph about the problem. You will get a reply from an engineer within one working day, and a written scope with a fixed price within a week.