We help founders and product teams turn an idea into something users open on Monday morning. Strategy, design, MVP engineering, launch, and the iteration loop after. Most products hit a real MVP in six to ten weeks, and the team that built it is the team that grows it.
We've seen the pattern often enough to name it. Teams ship the wrong thing fast, congratulate themselves on velocity, and then spend the next two quarters trying to convince users to like it. The fix isn't more engineering. It's a shorter feedback loop with real users, earlier.
The most common cause of failure across hundreds of post-mortems. Not engineering. Not capital. The product solved a problem nobody was paying to solve. Discovery costs two weeks. Building the wrong thing costs everyone six months.
The long tail of features that someone fought for in a meeting and nobody opens after launch week. Each one adds maintenance cost, surface area for bugs, and noise in the UI. The hard part of product is not adding. It is cutting.
The cheapest time to find out a feature is wrong is the Figma stage. The next-cheapest is the prototype stage. The most expensive is after the launch announcement, after support has been trained, and after a customer integrated against it. That's why we don't skip design.
We're a small bench, so we say no to a lot. What's left is the work we've shipped enough times that we know where the bodies are buried.
Six to ten weeks from signed discovery to real users. Smallest scope that proves the thesis, real auth, real payments, real analytics. Not a wireframe. Not a demo. Something a paying customer can use and complain about.
Multi-tenant from day one. Roles, billing, audit logs, admin tools your support team can use without a developer. The boring infrastructure work that nobody demos but every B2B buyer's procurement team will ask about.
Products where the core experience is impossible without a model in the loop. Evaluation harnesses, fallback paths, latency budgets, cost controls, and an architecture where swapping the model is a config change. Shipped on Claude, OpenAI, and open-source.
Two-sided products with their own gravity problem. Supply onboarding, demand acquisition, trust and safety, payouts, dispute flows, and the unglamorous tooling that keeps the marketplace from quietly collapsing in month four.
React Native when the codebase should be shared. Native iOS or Android when the use case demands it. Offline-first design, push notifications, app-store releases, and the part nobody warns you about: the second submission.
The legacy product still pays the bills but the next version can't ship on it. We migrate without breaking what works: parallel run, feature flags, gradual cutover, and a rollback plan that doesn't require a Saturday night.
Most product failures aren't engineering failures. They're discovery failures dressed up as engineering ones. So we don't skip discovery, and we don't let the build phase secretly include work that should have happened earlier.
Two weeks, fixed fee. We talk to your users, your team, and your numbers. Output is a written product thesis, a smallest-valuable-product scope, a risk register, and a build proposal. If the number is wrong for you, you walk away with the artefacts. No build commitment.
A clickable prototype in real users' hands inside three weeks. Information architecture, key flows, a design system you can extend without us. Most of the wrong product assumptions die here, when they cost a Figma edit instead of an engineering sprint.
Engineering, integrations, billing, analytics, and the launch checklist nobody enjoys reading. Weekly releases on your environment. A real launch date that doesn't slip more than once. Your QA and ours run in parallel.
Managed product pod, weekly releases, on-call rotation, and a monthly analytics review that decides what to build next. The team that built it grows it. No re-onboarding. No vendor reading your codebase for the first time in a P1.
We pick the stack that fits the product and the team that has to maintain it after we leave. Nothing here is a religion. If you already run Vue and Django, we'll run Vue and Django.
That has tradeoffs. We can't put fifty people on your project next Monday. We can put the right four on Tuesday, and they'll still be there when the second release ships.
The person who took your first call is on the project. So is the engineer who wrote the discovery doc. No handoff from sales to delivery to support. The names on the slack channel stay the same.
The brief you sent us is usually 70 percent right. Discovery is how we find the wrong 30 percent before anyone writes code. If the brief is already perfect, we'll tell you, and discovery becomes a short scope-lock sprint.
Every backend we build can be called by an agent. Structured I/O, tool schemas, idempotency, audit trails. You don't have to use an agent today. The day you want to, the wiring is already there.
Code on your GitHub. Figma in your tenant. Design tokens documented. No proprietary framework. If you bring it in-house in month nine, the handover is a known process, not a negotiation.
Payments, identity, ERPs, CRMs, accounting, KYC, tax engines. We've shipped the part you're worried about, more than once. We'll bring the runbook on day one, not discover the problem in week eight.
Bengaluru and Hyderabad engineering. EU and US-facing product leads. Your daily standup happens at a reasonable hour on both sides of the world. Time-zone overlap is staffed in, not improvised.
If your question isn't here, a 30-minute call is faster than email. We'll put a product lead and an engineer on the line, not just a sales rep.
Custom software is something your team uses to run the business. Product development is something your users pay for, sign up for, or rely on as the thing your company sells. The line matters because product work needs UX research, analytics, retention loops, and a real launch plan. Internal software does not. We do both, but we staff them differently and we'll tell you upfront which one your brief actually is.
Six to ten weeks for most products, once discovery is signed off. The variation is mostly down to integrations and how cleanly the scope was cut. An MVP that needs to talk to three external systems is not the same as one that runs on a single Postgres database. We size it accordingly in discovery, not in week eight when the surprises arrive.
Both. Our discovery phase is product strategy with a build plan attached. If you only want strategy, we run shorter consulting engagements of two to four weeks that produce a written product thesis, a competitive scan, a target user definition, and a phased roadmap. No obligation to use us for the build. Some clients do. Some don't, and that's fine.
You do, from day one. Code lives on your GitHub, GitLab, or Azure DevOps. Figma files are in your tenant. Design tokens, components, and documentation are yours. There is no proprietary framework you get locked into. If you want to bring the product in-house in month nine, the handover is a known process, not a negotiation.
A generic agency builds what the brief says. We argue with the brief. Discovery exists to find the brief that should have been written, including the parts that need to be cut. We are also small, senior, and willing to say no to work we think will fail. That has cost us deals. It has also kept the portfolio strong, which is what gets us the next deal.
Both, and we treat them as different problems. An AI-first product is one where the core experience is impossible without a model in the loop. Those need evaluation harnesses, fallback paths, latency budgets, cost controls, and a way to swap models without a re-platforming. We've shipped agentic products on Claude, OpenAI, and open-source models. The scars come with the team.
Often. The discovery output is written so a non-technical founder can read it, push back on it, and take it to investors. During the build, you get a product lead who translates between you and engineering. You don't need to know what Postgres is. You do need to know what your user is actually trying to do.
A managed product pod is the most common follow-on. Three to five people, weekly releases, monthly billing, and a tech lead who keeps shipping while you focus on sales and fundraising. The team that built the MVP grows it. No re-onboarding. No new vendor learning your code from scratch during a customer-facing incident.
Always. Your paperwork or ours, whichever is faster. No conversation about your product needs to happen behind a paywall, and no real data moves before a DPA is in place. Procurement does not slow this down on our side.
We work with both regularly. If you already have a design partner you like, we run engineering and product, and integrate their Figma into our workflow. Same for growth and content. We're not precious about owning every seat. We're precious about the product shipping on time and not breaking.
The one your last agency said would take six months. Or the one your investors keep asking about that nobody on the team has time to scope. We'll come back inside a week with a product thesis, a build path, and a number you can take to your board.
