AI‑powered
software,
built to ship.
A small, senior studio that builds AI agents, RAG systems, mobile apps, and automation on GPT, Claude, Gemini, or open-source models — and engineers them to hold up in production, not just in a demo.
We map the problem, constraints, and goals into a written spec with acceptance criteria. Spec-Driven Development: everyone agrees on what "done" means before we build.
Tests first, then code. Test-Driven Development and clean architecture keep the system reliable as it grows — well past launch.
Every prompt and agent is tested against real cases and scored on accuracy, cost, and latency. We measure AI behavior instead of trusting a good demo.
CI/CD pipelines test and deploy every change. We monitor in production, re-run evals when models change, and keep improving.
We benchmark providers per use case — accuracy, cost, latency, and data privacy — and can switch models without rewriting your product.
- → OpenAI (GPT)
- → Anthropic (Claude)
- → Google (Gemini)
- → Open-source (Llama, Mistral)
Agents that use tools, retrieval over your own documents, and integrations that connect models to the systems you already run.
- → AI agents / agentic systems
- → RAG
- → LangChain / LangGraph
- → MCP (Model Context Protocol)
- → pgvector · Pinecone · Qdrant
- → OCR / intelligent document processing
Proven, production-grade stacks for backend, web, and mobile — nothing experimental where it matters.
- → Python
- → TypeScript / Node.js
- → Flutter
- → React / Next.js
- → PostgreSQL / Supabase
Have a project
in mind?
Tell us what you want to build. You will hear back from an engineer — not a sales team — within one business day.