AI Engineering
Enterprise-grade, AI-native systems your teams can actually operate — evaluated, governed, and observable.
Most AI pilots die between the demo and production. We build the parts that make them survive: retrieval that stays fresh, gateways that meter and secure every call, evaluation harnesses that catch regressions before your users do, and governance that satisfies a regulator without slowing the team down.
Concrete offerings you can scope
Multi-agent architectures
Orchestrated agents with tool-use, guardrails, and deterministic fallbacks — not a prompt in a loop.
Retrieval-augmented generation
Chunking, embedding, and hybrid retrieval pipelines wired to your source-of-truth, with freshness SLAs.
LLM gateway & cost control
A single governed entry point: routing, rate limits, PII redaction, caching, and per-team spend visibility.
Evaluation & observability
Offline eval sets and online tracing, so quality is a number you track on a dashboard instead of a gut feel.
ML platforms & MLOps
Feature stores, training pipelines, model registry, and serving/inference with monitoring and drift detection — a paved road for models in production, not notebooks that never ship.
Computer vision
Detection, OCR, and inspection pipelines for industrial and document-heavy workloads.
AI governance
Model registries, audit trails, and human-in-the-loop review that map to EU AI Act and regional guidance.
Shapes we run — enter at any of them
RAG foundation build
Stand up a governed retrieval pipeline against one high-value corpus, with evals and a gateway, ready to extend.
AI readiness assessment
Audit data, security, and use cases; return a prioritised roadmap and a reference architecture your board can fund.
Applied AI pod
A senior AI engineer embedded in your squad, shipping and hardening use cases on your cadence.
What we run in production
Representative of our default toolkit — we adapt to your existing stack.
Ready to build your AI Engineering foundation?
Book a 30-minute discovery call. You will talk to the engineer who would run the work — not a sales rep.