Operations intelligence
Live views of throughput, yield, labour, and exceptions — so supervisors act on the hour, not the month-end report.
Solutions
From constraint to running system.
We do not sell a platform. We solution a decision: inspect, forecast, schedule, document, route. Then we wire the model into the system that already runs the company.
Capabilities
Six practices, used in combination.
Computer vision
Inspection, shelf, safety, and document vision models wired into the line, the store, and the clinic — not left in a notebook.
Forecasting and planning
Demand, inventory, and capacity models that respect promotions, seasonality, lead times, and the messy data you actually have.
Domain copilots
Assistants grounded in your SOPs, MES, ERP, and clinical notes. They draft, retrieve, and route. They do not invent policy.
Data platforms and MLOps
Pipelines, feature stores, evaluation, and model ops that survive shift changes, audits, and the next vendor swap.
Integration and change
SAP, Oracle, Dynamics, custom MES, EHR, and store systems. Training for the people who will run it on Monday morning.
The method
A production slice before a programme.
- 01
Discover
We walk the line, the aisle, or the ward. We map the constraint, the data that exists, and the decision that has to change.
- 02
Design
Architecture before algorithms. Human workflow, model choice, integration path, and the metric that will prove it worked.
- 03
Deploy
Production systems with monitoring, fallbacks, and access control. If it cannot run unattended, it is not done.
- 04
Distill
Measure, retrain, and hand over. We leave operators with a system they own — not a dependency they cannot explain.
Questions
What clients usually ask first.
Start a conversation
Tell us about the operation you want to improve.
A plant, a banner, a brand, a pathway. We will tell you honestly whether AI is the right lever — and what it would take to put it in production.