AI Solutions

AI that earns its place in the workflow.

We start from the decision being made, not the model being sold. Then we build the smallest system that improves it reliably. and prove it before it scales.

Capabilities

Six things we're asked for most.

Every one of these ships with an evaluation suite. If we can't measure it, we don't call it done.

Knowledge assistants

Retrieval over your documents and systems, with citations, scoping rules and measurable refusal behaviour.

Document intelligence

Extraction, classification and validation at volume. with confidence thresholds routing to human review.

Forecasting & decisioning

Demand, risk and capacity models tied directly to the operational metric they exist to move.

Computer vision

Quality inspection and asset monitoring on edge hardware where the network can't be trusted.

Agentic workflows

Tool using agents with budgets, timeouts and audit trails, deployed behind human checkpoints.

Evaluation & governance

Test harnesses, adversarial testing and monitoring so model drift is caught by us, not your customers.

Architecture

Four layers, assembled per client.

Data foundation

Ingestion, quality checks and a semantic layer, because most AI failures are data failures wearing a costume.

Model layer

Hosted frontier models, open weights in your cloud, or specialized smaller models where latency and cost demand it.

Application layer

The interface people actually use: review queues, assistants, dashboards, or an API into your existing product.

Assurance layer

Evaluation suites, guardrails, logging and rollback. the part that makes it safe to leave running.

Network diagram illustrating a layered AI architecture

Proof first

A pilot that answers the real question.

Week 1 to 2

Data access, baseline measurement and a target we both agree is worth hitting.

Week 3 to 6

A working system on real data, evaluated against the baseline, in front of real users.

Week 7+

Scale, harden and integrate. or stop, with a clear written reason. Both are acceptable outcomes.

Have an AI idea that stalled?

Send us the version that didn't make it past the pilot. Those are our favourites.