◎AI-First Startups
Ship AI products,
not AI demos.
AI-first startups need engineers who understand both the model and the system around it — retrieval, evaluation, observability, cost. We ship production AI products with real guardrails, real evals, and real metrics. Not Streamlit demos that break in front of investors.
What we ship
For AI-First Startups.
Core deliverables we have shipped before in this vertical — not templates, real systems with runbooks.
Agentic workflow architectures
Multi-step agent systems with tool use, memory, and recovery — production-hardened.
RAG + retrieval pipelines
Vector + lexical hybrid retrieval with re-ranking, citations, and chunking strategies tuned to your data.
Evaluation infrastructure
Eval suites, regression tests, and human-feedback loops integrated into CI/CD.
Cost + latency observability
Per-request cost tracking, prompt versioning, and model-routing dashboards.
Tech stack
Compliance & data
Built right.
From day one.
Compliance is an architectural concern, not a checkbox. We scope the regulatory surface before writing a line of code — so you are not retrofitting controls at Series A.
Data isolation
No customer data leaks across tenants in vector stores or LLM call traces.
Related services
Case study · AI-First Startups
Legal LLM Document Pipeline
A grounded LLM pipeline shipped to production with evals, guardrails, and 100% human-reviewed outputs.
Free · 5-day delivery · No commitment
Get a Free AI-Readiness Audit.
Five-day structured review of your data, workflows, and team. We hand back a scored opportunity matrix and a 90-day roadmap — not a sales call.