
Applied Intelligence
From Problem
to Intelligence.
We transform complex problems into intelligent solutions — systems that reason, decide, and hold up in production.
- scope
- ambiguous, high-stakes
- method
- measure → model → deploy
- horizon
- weeks, not quarters
One line, three states.
Problem ↓ Intelligence ↓ Outcome
Problem
We start where it hurts
Messy operations, buried data, decisions made on instinct. We sit with your team, instrument the workflow, and write the problem down until it is precise enough to solve.
- discovery sprint
- data audit
- success metric
Intelligence
We build the reasoning layer
Models, retrieval, agents, evaluation harnesses — assembled around your problem rather than a demo. Every claim is measured against a baseline before it ships.
- architecture
- eval suite
- working system
Outcome
We hand you leverage
Deployed, monitored, and owned by your people. Hours returned, decisions made faster, and a system your team can extend without us in the room.
- production rollout
- observability
- team handover
Capabilities
Four ways we work, one standard of proof.
Decision systems
Forecasting, routing, pricing and triage models wired directly into the tools your team already uses.
Data foundations
Pipelines, contracts and retrieval layers that make your own knowledge usable by a model.
Applied research
Evaluation-first prototyping on problems without a known answer, with a baseline to beat every week.
Embedded teams
Engineers and researchers working inside your org, transferring the practice as they build.
Engagement models
- Diagnostic
- A fixed-scope assessment that maps the problem, the data you already hold, and the shortest path to a measurable baseline.
- Build
- A delivery engagement that takes an agreed use case from baseline to a production system your team can operate.
- Partnership
- A standing team that carries a portfolio of use cases, sets internal standards, and trains your practitioners.
Industries
Regulated, operational, unforgiving environments.
We work where decisions carry consequence and a demo is not an outcome.
Logistics
network planning, ETA integrity, exception triage
Healthcare
capacity forecasting, coding assurance, care pathways
Energy
load prediction, asset condition, dispatch optimisation
Financial services
risk scoring, controls review, client operations
Manufacturing
yield analysis, inspection, maintenance scheduling
Public sector
casework prioritisation, records retrieval, service demand
Insurance
submission intake, claims triage, fraud signals
Retail
demand sensing, assortment, price and promotion
- Governance
- Model cards, audit trails and human-in-the-loop review by default.
- Security
- Deployment inside your tenancy, with your identity and data controls.
- Measurement
- Every engagement carries an agreed baseline and a published result.