We build enterprise software the way agentic AI now demands it be built — APIs other agents can call, data pipelines that document themselves, and front-ends that survive the next framework cycle. No pilots that never leave the slide deck.
The demo looked great. The team was responsive. The slides made sense. Then integration started, edge cases multiplied, the senior engineer rolled off, and your CFO got a number nobody warned them about. This is the part we built our process around.
Two-thirds of enterprise software projects come in late, over budget, or are quietly killed. Most failures trace back to scope changes that nobody priced and integration assumptions nobody verified in week one.
The deck quoted twelve weeks. The invoices say twenty-six. The single biggest driver is discovery work that was rushed or skipped, so the real complexity surfaces after the contract is signed.
Most of them don't talk to each other. The ones that do, do it through a CSV your analyst hand-edits at month-end. Any new system you build will need to plug into at least six of them, and the documentation for two will not exist.
We took a deliberate decision a long time ago: only ship work we'd put our own name on. That keeps the list short and the standard high.
Apps built so agents can use them, not just humans. Every action is an API. Every API has structured I/O. Every I/O is documented and tool-callable. The day you decide to put an agent behind your operations team, the wiring is already there.
Services designed to be called by reasoning agents. Tool schemas, idempotent endpoints, retry semantics, audit trails on every call, and failure modes the agent can recover from. Built on FastAPI, Node, or whatever your existing stack already runs on.
Server-rendered where it matters for speed and SEO. Client-rendered where the interactivity demands it. React, Next.js, Vue, or plain HTML when that's the right answer. We pick the boring stack on purpose, because boring stacks ship.
Pipelines that don't break silently. Schema contracts, dead-letter queues, lineage you can click through, and dashboards that tell you what failed before your dashboard does. We work with what you already have — Airflow, Dagster, dbt, or Glue.
SAP, Oracle, NetSuite, Dynamics, Salesforce, HubSpot, Tally, Zoho, and in-house ledgers you can't find documentation for. Integration is usually 50 to 70 percent of an enterprise project. We size it that way from day one instead of discovering it in week ten.
React Native for shared codebases. Native iOS or Android when the use case demands it. Offline-first design, push notifications, app-store releases. And we'll tell you when a mobile app is the wrong answer and a responsive web app is what you actually need.
The biggest predictor of project success in our portfolio is a real discovery phase. So we don't skip it, and we don't pad the build phase with work that should have happened earlier.
Two weeks, fixed fee. Output is a written scope, an architecture sketch, a risk register, and a build-phase proposal. If the number surprises you, you walk with the artefacts. No build commitment.
By week four to six your stakeholders are using a real prototype on real data. Not slideware. A running system you can break. Most scope corrections happen here, which is exactly when they're cheap.
Hardening, security review, performance, integrations, and the long tail of edge cases. Weekly releases on your environment. Your QA and ours run in parallel. A go-live date that doesn't slip more than once.
Managed service under an SLA, on-call rotation, version upgrades, and the next-quarter roadmap. The team that built it is the team that runs it. No knowledge transfer to a triage desk that doesn't know your code.
We use the stack that fits the problem and the team that has to maintain it after we leave. Nothing here is a religion. If you already run Vue, we'll run Vue.
That has tradeoffs. We can't ramp fifty engineers next Monday. We can ramp the right three or six on Tuesday — and they'll still be on your project in month nine.
Every engineer on your project has shipped enterprise software for at least a decade. No "we just hired them, hope it works" surprises. No bench of juniors disguised as a delivery model.
Whether or not your project uses an LLM today, we architect so it could tomorrow. APIs are tool-callable, data has lineage, actions are auditable. The agent retrofit, when you want it, is hours of work, not a re-platforming.
Repos on your GitHub, GitLab, or Azure DevOps. CI/CD in your tenancy. No proprietary framework you get locked into. Source escrow on day one for fixed-scope work.
Our paperwork or yours, whichever is faster. Procurement does not slow this down. No discovery conversation needs to happen behind a paywall.
SAP, Oracle, Salesforce, NetSuite, Tally, and in-house ledgers nobody's documented since 2014. We've debugged the bit you're worried about. We'll bring the runbook.
Bengaluru and Hyderabad engineering. EU and US-facing project leads. Your daily standup happens at a reasonable hour for both sides. Time-zone overlap is built into the staffing plan.
The right model usually depends on how stable your scope is, how fast you need to start, and whether you want a turnkey delivery or a team that plugs into yours.
Pricing varies by scope, seniority mix, and SLA. Discovery is the only fixed-price part of any engagement.
If your question isn't here, a 30-minute call is faster than email. We'll have an engineer on the line, not just a sales rep.
We build every backend so an agent could call it tomorrow. Endpoints have structured inputs and outputs, tool schemas are first-class, idempotency is the default, audit trails are on every action, and failure modes are recoverable. You don't have to use an agent today — but the day you want to put one behind your operations team, the wiring is already there. That's the difference between "AI-ready" as a slide and "AI-ready" as a property of the codebase.
We split the brief into a discovery phase and a build phase. Discovery is fixed-fee and two weeks. Its output is a written scope with explicit assumptions, a risk register, and a build-phase proposal. If the build estimate surprises you, you walk away with the discovery artefacts and owe us nothing more. Most clients sign the build phase. Some don't, and that's fine — at least the assumptions were tested before money got committed.
Always. Your paperwork or ours, whichever is faster. No technical conversation needs to happen behind a paywall, and no client data moves before a DPA is in place. We've signed under Indian, EU, UK, and US law without trouble.
You do, from day one. Repositories live on your GitHub, GitLab, or Azure DevOps. We work in your tenancy, with your CI/CD. Source escrow is optional but standard for fixed-scope engagements. There is no proprietary framework you get locked into. If you want to move the project in-house tomorrow, nothing prevents it.
SAP (ECC, S/4HANA), Oracle (Fusion, EBS), Microsoft Dynamics 365, NetSuite, Salesforce, HubSpot, Tally Prime, Zoho, and in-house ledgers we've built custom connectors for in two to three weeks. Integration is usually 50 to 70 percent of an enterprise project. We size it accordingly from day one, instead of discovering it in week ten.
Our engineering rate is the same whether we use Claude, GPT, an open-source model, or no model at all. Inference cost is passed through at provider rates with no markup. The architecture is built so swapping models takes hours, not a re-platforming. That's what protects you from the next price cut or capability jump — a switch you make in a config file, not a contract.
Yes, under a managed-service SLA. Standard tiers are business-hours response, 24×5 with a four-hour P1 SLA, or 24×7 with a thirty-minute P1 SLA. The on-call engineer is someone who worked on your build, not a separate triage team reading a wiki for the first time.
Both. Managed engineering pods of three to six senior people are our most common engagement, billed monthly, with your tech lead setting priorities each sprint. We also do fixed-scope full builds and short strategic consulting engagements. Pick the model that matches how you actually want to work — we'll tell you upfront which one we think fits your situation.
That's a successful outcome, not a failure. The codebase, documentation, ADRs, runbooks, and CI/CD are yours and have been since day one. We run a structured handover over two to four weeks, train your team on the architecture decisions, and stay on retainer for the first two months in case something surprises them. We've done this five times. It works.
The one your existing vendor said would take six months. Or the one your internal team has been circling for two quarters. We'll come back inside a week with an architecture sketch, a working-prototype path, and a number you can take to your CFO.
