Build with us, not for us.

Six practice areas covering the lifecycle of an AI product — from the architecture sketch on a napkin to the on-call rotation that keeps it running.

Workshops, opportunity mapping, model selection and a roadmap that compounds. We start where you actually are — not in a deck.

Discovery workshopsOpportunity mappingArchitecture sketchesROI modelling

Full-stack AI product builds: design, engineering, evals, deployment. We embed with your team and ship a working slice in weeks.

Product designFull-stack buildEval frameworkProduction deployment

LLM applications, RAG pipelines, agents and copilots — engineered to be reliable, observable and on-budget in production.

LLM apps & copilotsRAG pipelinesAgentic systemsFine-tuning & evals

The foundations under every AI system: lakehouse, feature stores, embeddings infrastructure and real-time pipelines.

Lakehouse buildsFeature storesEmbedding infraReal-time pipelines

Tracing, guardrails, evals, drift detection, on-call. The unglamorous parts that keep the magic on.

ObservabilityGuardrails & safetyDrift monitoringOn-call rotation

Senior AI engineers, designers and researchers embedded with your team — for a quarter, a year, or the long haul.

Senior benchEmbedded teamsMentorshipKnowledge transfer

How we work

Four phases. One team.

The way we deliver hasn’t changed in twelve years, even though the technology has.

Workshops, mapping, scoping.

Models, evals, system design.

Tight iteration. Working slice in weeks.

Tracing, guardrails, on-call.

30-minute architecture review. No SOW theatre.