A dating app engineered for real conversations
Swipe-based matching, realtime chat and trust & safety — built to turn matches into conversations rather than dead ends.
- React Native
- Node.js
- PostgreSQL
- Redis
- WebSockets
Five products across consumer, public sector, healthcare and education — each one a case study in what we build and how we decide.
Swipe-based matching, realtime chat and trust & safety — built to turn matches into conversations rather than dead ends.
Analysts ask a question in plain language; the system writes verified, read-only SQL against a governed warehouse and returns the answer with its workings.
A retrieval-grounded support assistant that cites its sources, knows when to escalate, and never invents an answer.
A shared operational core — identity, roles, scheduling, billing, reporting — with vertical modules for academics and for clinical care, plus a mobile app for everyone outside the office.
A deterministic ephemeris engine computes the chart; the language model only narrates what was actually computed — personal readings that stay internally consistent.
A dating app and a government reporting system have little in common on the surface. What they share is how we approach them: name the metric that matters, ship the narrowest thing that moves it, and put guardrails where being wrong is expensive.
Every project above started from a number the client needed to move, not a technology they wanted to adopt.
Read-only sandboxes, citation-backed answers, computed-not-generated facts. AI is scoped so a wrong answer cannot do damage.
Documented, tested and boring where boring is a virtue — so your team can own it after we leave.
Book a free consultation. We'll map the highest-impact opportunity for your business — no obligation.