I didn’t start with a grand plan. I just kept solving problems — for startups, for growing teams, for founders who needed someone to think alongside them, not just write code and disappear.
Over the years, that turned into something real. I’ve built Android apps people actually use, data pipelines that process millions of events in real time, AI systems that make businesses feel 10x bigger than they are — and I’ve done it from scratch, with teams I handpicked, for clients across India, the Middle East, and Europe.
Today I run Zentrix — a small, sharp engineering studio. We don’t do bloated retainers or 40-slide proposals. We embed, we ship, we care about what happens after go-live.
If you’re building something that matters and need a technical partner who gets both the code and the business behind it — let’s talk.
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Most companies are sitting on a goldmine of knowledge — internal docs, handbooks, reports, wikis — that nobody can actually find when they need it. Employees spend hours digging through folders, pinging the one person who “knows everything”, or just guessing.
verse.ai fixes that.
It’s a multi-tenant AI knowledge platform built for organizations that want their people to actually use the knowledge they’ve spent years building. Each company gets its own private workspace — their docs go in, their team asks questions in plain English, and the AI answers back with exact, cited answers pulled only from their data. Not some generic model hallucinating on the internet. Their actual documents.
The platform is built around three simple roles: a super admin who provisions organizations, a tenant admin who uploads the knowledge base, and team members who just… ask. No training required. No prompt engineering. Just a chat box and an answer.
Under the hood, every org’s data lives in a fully isolated vector namespace — Acme Corp can never see Globex’s files, and vice versa. It’s not just a permission flag, it’s architectural isolation. The AI literally has no path to cross-tenant data.
Built it for a Brazilian client who needed this running across multiple organizations simultaneously — and it delivers sub-50ms responses with 99% uptime.
If your team is still answering the same question 40 times a week because nobody can find the doc that answers it — this is what you build.
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