Models,agents,andautomationthatearntheirkeep.
Custom ML models, generative AI, and autonomous agents that automate workflows and turn your data into a competitive edge.
Most AI projects fail because they start with the technology instead of the task. We start by finding the workflow where an automated decision saves real hours or real money, then build the smallest system that does it reliably.
That might be a retrieval pipeline over your documentation, a fine-tuned classifier, or an agent that handles a support queue end to end. Whatever it is, it ships with evaluation harnesses so you can prove it works — and keep proving it as your data shifts.
40%
Average workflow time saved
6 wks
Concept to working pilot
12+
Industries served
Capabilities.
Everything we cover under ai & machine learning — take the whole discipline or just the part you're missing.
Bespoke systems built around your data and your domain, scoped to a specific decision or task rather than a vague promise of intelligence.
Forecasting, classification, recommendation, and anomaly detection — trained, validated, and deployed with monitoring for drift.
The process.
No black boxes. You see the work as it happens, and you know what comes next.
Opportunity audit
We look at where your team spends time and where your data already lives, then rank the candidates by value and feasibility — and tell you which ones aren't worth doing.
Data readiness
Before modelling, we assess what you have: quality, volume, labelling, and access. This is where most projects quietly fail, so we do it first.
Pilot & evaluation
A narrow working system with a real evaluation set. You get measured accuracy on your data, not a demo on someone else's.
- Working model or agent deployed in your environment
- Evaluation harness and benchmark results on your data
- Cost and latency report with tuning recommendations
- Guardrail, fallback, and escalation configuration
- Retraining playbook and monitoring dashboards
Questions, answered.
The things clients ask before signing — answered honestly, including where the answer is no.
Do we need a data science team to maintain this?
Do we need a data science team to maintain this?
No. We build for handover to an ordinary engineering team, with the evaluation and retraining steps scripted. If you'd rather not touch it at all, we can run it for you.
Is our data used to train anyone else's model?
Is our data used to train anyone else's model?
No. We work with zero-retention configurations by default, and your data stays in your infrastructure unless you explicitly decide otherwise.
Related services.
Most of our work combines two or three of these into a single accountable engagement.
Ready to talk ai & machine learning?
Book a free 15-minute call. We'll tell you what this would take, what it would cost, and whether we're the right team for it.
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