Inside your perimeter
Myles runs on infrastructure you operate. Customer data never reaches us.
Solutions · Financial services
Faster decisions, with the error rate agreed up front.
Banks, insurers and payment firms make millions of small decisions: which queue, which complaint category, is this a scam. Myles makes them in milliseconds on your own infrastructure, keeps only what clears a certified error rate and hands the rest to your people.
The problem
Batch processes miss the moment
Scam warnings, complaint routing and fraud signals are often handled hours after the event, when the money has gone.
Hosted models are hard to approve
Customer data, model risk management and outsourcing rules make sending data to a general-purpose hosted model slow to approve.
Confidence nobody can audit
A model risk team needs to know how often a model is wrong before it goes live, not after.
Where Myles sits
Why Myles
Measured before go-live
A certified error rate on held-out data, set per kind of input, ready for model risk review.
A fixed cost
A licence per deployment, not per decision, so volume growth does not grow the bill.
The evidence
91.8%correct on 1,400 held-out decisions, ahead of the medium tier of a leading hosted LLM family
2.7%error on the 73% of decisions kept at a 5% target, on unseen test data
£4per million decisions on one CPU thread, against £1,880 for that hosted tier
Myles-400M, our own measurement, September 2026. Method and all results