AI & Applied Intelligence

AI features that are evaluated like software, not demoed once and quietly abandoned.

Retrieval over your own data, agentic workflows, voice and conversational interfaces, classification and extraction pipelines. We ship our own AI products, which is why we are direct about what AI will and will not do for you.

ClaudeOpenAIRAG & vector searchAgent orchestrationEvaluation harnessesSpeech pipelines

What you receive.

01Use-case assessment with an honest build / buy / do-not recommendation

02Retrieval architecture over your proprietary data

03Prompt, tool and agent design with versioning

04Evaluation harness with regression testing on real cases

05Guardrails, fallbacks and human-in-the-loop escalation

06Cost, latency and quality monitoring in production

You have an AI mandate and no clear use case

A prototype impressed everyone and then failed in production

You hold proprietary data that a generic model cannot reason about

Not sure this is the right capability for your problem? A conversation usually settles it in half an hour.

Book a consultation

The shape of the engagement.

Qualify

Roughly half of proposed AI features are better solved conventionally. We say so before you spend the budget.

Ground

Retrieval and tool access over your own data, because a model without your context is a very confident stranger.

Evaluate

An evaluation set built from real cases, run on every change. Without it you are shipping vibes.

Operate

Cost, latency and quality monitored continuously, with fallbacks for when the model is wrong, which it will be.

Mobility · MarketplaceMuvmentA two-sided marketplace where one double-booked car costs trust on both sides at once.

Questions we get.

Regularly. A deterministic rule that is right every time beats a model that is right most of the time.

An evaluation set built from your real cases, run on every change, with the numbers shared. Not a demo.

Next capabilityCloud, DevOps & Infrastructure

All ten capabilities