Our approach
These four hold on every project, whether it is a marketing site or a multi-tenant platform.
We start with the problem, not the feature list you arrived with. Sometimes the answer is smaller than what you asked for.
We agree the data model and the API contracts before the build starts, because those are the expensive things to change later.
We write code the next engineer can read, on the assumption that the next engineer is us a year from now.
We raise trade-offs while there is still time to choose between them. Risks and bad news go in the sprint update, not into a surprise at the end.
These are the tools we know well enough to be accountable for. If a project needs something outside this list, we say so rather than learning it on your budget.
Web applications, content sites and the APIs sitting behind them.
Document search, chat assistants and retrieval pipelines.
Hosting, deployment pipelines and keeping it running after launch.
Relational and document stores, caching and reporting.
Apps for the App Store and Play Store, native or cross-platform.
Design files, tickets and the tools we run projects in day to day.
Before Pinakinvox, the engineers here spent 10+ years building software for companies in e-commerce, fintech, logistics, healthcare and SaaS.
Most of it was the unglamorous kind. Workflow systems, payment flows, tracking platforms, patient portals, the internal tools a business actually runs on. That is where you learn what breaks in production rather than what looks good in a demo.
We went out on our own to work with clients directly instead of through layers of account management. It means fewer projects at a time, and the people who agreed what to build are the ones building it.
We would rather quote three weeks and be right than quote one and hand over a mess.
DPIIT recognised startup · DIPP209912
Registered under the Government of India's Startup India initiative.
We are 10–49 people, not a pipeline. The engineer who scopes your project is the one who writes it, and there is no junior tier we quietly hand it to once the contract is signed.
We work in 2 weeks sprints and you see what landed at the end of each one. A slipped estimate or a library that turned out to be a dead end reaches you when we find it, not at the final demo.
Shipping something fast that nobody can change later is easy. We would rather spend an extra day on the data model than hand you a codebase you have to rebuild next year.
Launch is when the real bugs surface, so 30 days of support sits in the contract rather than in an upsell email afterwards.
If you’re planning a product or improving an existing system, we’re happy to share our perspective. We’ll review your context, discuss possible approaches, and give honest feedback — free of cost.