We build AI systems
that actually ship.

End-to-end AI feature development: data pipelines, inference APIs, and clean production UIs in a single engagement. We design around agentic patterns from the start — tool-use, function-calling, structured outputs, and observable trace logging so you can see exactly what your model is doing. Scoped to 2–6 week iterations with hard acceptance criteria, not open-ended retainers. Every output is traceable, testable, and handed off with evals in place.

KPI dashboards, forecasting models, and anomaly detection — replacing spreadsheet workflows with real-time intelligence. We build hybrid retrieval pipelines that combine vector search (pgvector, Qdrant) with relational joins, so queries stay fast and answers stay grounded. Ingest from CRMs, ERPs, and file stores; normalize and enrich into a clean data layer. Observability via Langfuse or Helicone so you track cost-per-query from day one, not as an afterthought.

Multi-agent pipelines that take real actions: submitting forms, updating records, sending notifications — with human-in-the-loop approval gates at every decision point that matters. Built on MCP (Model Context Protocol) or composable function-calling steps, with a full audit trail on every automated action. Event-driven where it makes sense, polling-based where it’s simpler. We don’t over-engineer the orchestration layer just to make it look impressive.

Plain-English guides, role-based runbooks, and in-product AI help that cites exact source passages — not hallucinated summaries. We build AI-powered onboarding assistants backed by your actual documentation: SOPs, contracts, spec sheets. Users ask in natural language and get an answer with a direct link to the source. Built on RAG pipelines with retrieval evals so the accuracy degrades loudly, not silently, when your docs change.

Cloud-native or on-prem: we wire AI features into existing infrastructure without blowing up your architecture. Supabase for data, Cloudflare Workers or Deno for edge compute, zero-trust identity patterns, CI/CD with feature flags for incremental rollout. CRM, ERP, and legacy API integration handled — REST, GraphQL, or file-based. We've seen the gnarly stuff. API gateway patterns, rate limiting, multi-tenant data isolation: all handled before the first production incident.

Private model hosting, RAG pipelines, eval frameworks, guardrails, and smart model routing — all inside your own infrastructure. We design BYOK (Bring Your Own Keys) and local-first architectures for teams that can’t send data to third-party APIs. Model routing done right: cheap models handle classification and extraction; reasoning models (o3, Claude with extended thinking) only engage when the problem warrants the cost. Cost-per-token tracked from the start, not discovered on the first invoice.