What we build
Production software, shipped end to end.
We design and build native mobile apps, web apps, and the secure backends behind them — from a discovery conversation to the App Store, Google Play, and a live URL. We handle the parts most shops skip: security hardening, store-compliance review, and ongoing support.
Engagements are scoped tight: a clear problem, a measurable outcome, and a deliverable that lives in your repo, not a slide deck.
Start a conversationWhat we build.
Native mobile, web, secure backends, and the AI decision systems on top — end to end, on your stack, measured against your numbers.
Native mobile apps
iOS and Android from one Expo / React Native codebase — background GPS, geofencing, camera, push, and e-signature — submitted and shipped through the App Store and Google Play.
Web apps
Modern Next.js / React 19 web apps — public marketing and intake surfaces plus authenticated portals in one app, continuously deployed.
Secure cloud backends
Supabase Postgres with real schema design, role-based access enforced at the database with Row-Level Security, Edge Functions, storage, and scheduled jobs.
AI decision systems
Scoring and ranking that shows its work, tells you how confident it is, and learns from real outcomes — with a person approving every change.
Document & data intelligence
Retrieval that reads the whole corpus and cites its sources — hybrid search, neural reranking, and self-checking so answers never come from bad context. PDF-to-structured extraction with human review, cross-document discrepancy detection, and Q&A that can't invent a number.
End-to-end delivery
Discovery to launch — security hardening, store-compliance packets, and release management under our own developer accounts. You get a working login, not paperwork.
See it in one build: a full field-service software suite.
A native crew-ops app for iOS and Android, a live ROI lead-triage web app, and a homeowner portal — designed, secured, and shipped end to end for a Long Island remodeling contractor.
Explore the case studyDocument intelligence for high-stakes decisions.
Investment firms and operators drown in documents — board decks, financials, filings, contracts — where a single contradictory number changes the decision. We build retrieval systems that read the whole corpus, return sourced answers, flag discrepancies across documents, and refuse to invent a number. Grounded in GSP-Intel, a production platform our team built from the ground up.
- Hybrid retrieval over a hierarchical summary tree (RAPTOR)
- Query expansion (HyDE) + neural reranking
- Self-checking retrieval — no answers from bad context
- Cross-document discrepancy detection, fully cited
- LLM-as-judge evaluation on every release
- Delivered through MCP — ask in Claude, get sourced answers
Answer · sourced from your corpus
CitedQuery
What was the Q4 fill rate?
Every number traced to a source. Illustrative.