Service
Custom Software & Product Engineering
From a blank page to a product in production.Discovery, architecture, build and launch for teams turning an idea into a business — with the engineering decisions made by people who have done it for themselves.
Overview
We run two of our own products. KisanGyan is live on Google Play; Nivista is in beta. That experience changes how we advise clients, because we have personally paid for every shortcut we recommend against.
Product engineering is largely the practice of deciding what not to build. A first version should be embarrassingly narrow and unreasonably solid in that narrow slice. We help you find that slice, build it properly, put it in front of real users, and then grow it based on what they actually do.
Capabilities
What we build
Everything below is Product Engineering work we have shipped to production.
Product discovery
A structured two-to-three week sprint: user interviews, competitive teardown, feature prioritisation, architecture outline, risk register and a costed delivery plan. You leave with a specification, whoever ends up building it.
MVP development
A genuinely shippable first version — auth, payments, the core workflow, analytics and an admin console — in weeks rather than quarters.
Architecture & technical due diligence
Reviewing an existing codebase before an acquisition, a funding round or a rebuild. You get a written assessment of scalability, security, cost and technical debt, with a remediation plan.
Rescue & modernisation
Inheriting a stalled or abandoned project, stabilising it, and getting it back to a releasable state. We start with a diagnostic, not a rewrite proposal.
Dedicated product teams
A senior squad — engineering, design and delivery — working as your product team on a monthly engagement, in your tools and your standups.
Fractional CTO
For founders without a technical co-founder: hiring, architecture decisions, vendor selection, security posture and board-level technical reporting.
Technology
What we build it with
Backend
Frontend
Data
Practices
Deliverables
What you get
- Product specification and prioritised backlog
- System architecture with the trade-offs written down
- Working software in production, deployed and monitored
- Analytics instrumentation tied to your actual success metrics
- Admin console so your operations team is not dependent on engineers
- A 12-month technical roadmap with cost projections
Delivery
How the engagement runs
Same five stages every time, so you always know what week you are in and what comes next.
Discover
We start by understanding the business, not the feature list. Who is the user, what decision are they trying to make, what does success look like in numbers, and what is genuinely fixed versus assumed. Usually this reshapes the brief.
Design
Flows before pixels, then high-fidelity screens covering every state that matters — including the empty, offline and error states most projects discover late. Architecture is decided here too, and written down with its trade-offs.
Build
Two-week iterations, something in a real environment every single week, and a demo you can use rather than a status report you have to read. Typed contracts and CI keep the frontend and backend honest with each other.
Ship
Launch is a process, not a date: staged rollout, monitoring and alerting live before the first user, store submissions prepared against current policy, and a rollback path that has been tested rather than assumed.
Scale
After launch the questions change: what do users actually do, where does it cost too much, what breaks first at ten times the load. We instrument, review monthly, and plan the next quarter from evidence.
FAQ
Product Engineering questions
Related
Often paired with
Web Development
Marketing sites, customer portals, dashboards and full web applications — built to load fast on Indian networks and rank on day one.
ExploreCloud & DevOps
Containerised infrastructure, CI/CD pipelines, monitoring and cost optimisation on AWS and Cloudflare — set up so a deploy is a non-event.
ExploreAI & Machine Learning
AI agents, agentic workflows, chatbots, RAG systems, custom ML models and computer vision — engineered with evaluation, guardrails and cost control from the first line of code.
ExploreLet us talk about your Product Engineering project.
Tell us the problem and the constraints. You will get an honest read on scope, timeline and whether we are the right people for it.