What we deliver
Real evaluation harnesses
We build evals before we ship. You know the accuracy number before users do.
LLM-agnostic architecture
Swappable model backends so you are never locked into a single vendor as the landscape evolves.
Production-grade retrieval
Hybrid search (dense + sparse), metadata filtering, and re-ranking tuned to your domain.
Human-in-the-loop
Confidence thresholds and escalation paths built in from the start.
How it works
Discover
Map the data landscape, identify high-value AI use cases, and define success metrics before building.
Prototype
Rapid RAG or agent prototype evaluated against your ground-truth dataset.
Productionise
Build evaluation harness, observability, guardrails, and the production inference pipeline.
Optimise
Continuous evals, prompt iteration, model swaps as better options emerge.
Tools we use
Applied AI FAQs
OpenAI, Anthropic, Google Gemini, Mistral, and open-source models deployed on your own infrastructure. We design for portability so you can switch.
All production systems run in your cloud account. Data never leaves your perimeter. We build PII redaction into the ingestion pipeline by default.
A test suite that runs your AI against a labelled ground-truth dataset and reports accuracy, hallucination rate, latency, and cost — automatically on every deploy.
Related capabilities
Product Engineering
Full-stack teams building web and API products with test coverage, CI/CD and observability from day one.
Learn more →Data Infrastructure
Warehouses, streaming pipelines and semantic layers your analysts can actually query.
Learn more →Platform & Cloud
Infrastructure that scales predictably: multi-region, IaC-defined, cost-modelled before launch.
Learn more →Start a applied ai engagement
Tell us about your project. A senior architect will respond within one business day.