Certified decision models · Built in the UK

Decisions you can sign off.

Myles decision models give every option a probability in a single pass, keep only the decisions that clear a certified error rate, and pass the rest to a person. Call them through our API, or run them on hardware you own.

One decision, one passIllustrative
situation
Customer email: "I was charged twice for my March invoice. Please refund one."
question
Which team should handle this?
options
billing, technical support, sales, complaints
billing0.94
complaints0.04
technical support0.01
sales0.01
Kept: above the certified threshold
91.8%correct on 1,400 held-out decisions, ahead of the medium tier of a leading hosted LLM family
£4per million decisions on one CPU thread, against £1,880 for that hosted tier
74%on multi-rule problems from domains it never trained on, where chance is 16%
0cloud round trips: every decision is made inside your network

Myles-400M on our frozen evaluation set, September 2026. Every model answers the same 1,400 decisions; the hosted models answer zero-shot with one fixed prompt. Method and full results 

How it decides

Every decision is kept or handed over.

A probability is only useful if you can trust it. Myles is calibrated, so a threshold set on held-out data holds on new decisions, and you choose the error rate before anything goes live.

01 · Decide

One pass, every option scored.

Myles reads the situation, the question and the options, and gives each option a probability in one forward pass. No text to generate, nothing to parse.

02 · Certify

A threshold you can sign off.

Each kind of input gets its own threshold, set on held-out data, so the decisions Myles keeps stay inside the error rate you chose.

03 · Hand over

The rest goes to a person.

Anything below its threshold goes to a person or a larger model, with the probabilities attached. Nothing is forced through.

5% target73% kept · 2.7% error
2% target40% kept · 1.4% error
1% target16% kept · 0.5% error

Kept by MylesHanded to a person

Myles-400M on unseen test data, September 2026: at each target error rate, the share of decisions it keeps and the error on those it keeps. Every result lands inside its target. All results and the method 

Text and images

Decisions that turn on a picture.

Myles-G 12B now decides from images as well as text. Send the receipt, the screenshot or the product photo with your question, and get the same calibrated yes or no, choice or score back, with a probability for every option, in one API call.

Approve this receipt?

Check a receipt photo against the expense claim and your policy before it is paid.

Yes or no

Is it safe for the agent to tap this?

A guard for computer-use agents: check the screen before the agent acts, and hand the risky taps to a person.

Yes or no

Fit to ship?

Visual inspection from a product photo: pass it, or send it for a second look.

Yes or no · score

Which item is the target?

Pick the right object in an image from your list of options, with a probability for each.

Choice

  • About a fifth of a second. The median time to answer with one image at the default size, on our current GPU.
  • 89% correct on 934 held-out images at the default image size.
  • Billed as input tokens. An image counts as ordinary input tokens, charged once per request when it is in the state.
  • One call. The image and the rule it is checked against are decided together, in the same request.

Internal measurement on 934 held-out images across receipts, app screens, product photos and object boxes, 16 Oct 2026; not an official benchmark placement. Speed measured the same day. The figures are for Myles-G 12B; Myles-G 31B reads images too.

Images in the docs Quick start Get an API key 

Deployment

Runs where your data already lives.

On your servers

CPU only, including disconnected networks. Myles-400M makes a decision in about half a second on one thread.

Myles-400M · Myles-150M

On laptops and phones

Small enough for the devices your teams already carry. Myles-22M decides in 27 ms, even in a browser.

Myles-22M · Myles-G Edge

On one GPU you own

The most accurate models, on a single workstation or data-centre GPU. Available by request.

Myles-G 31B · Myles-G 12B

The Myles models

One family. One job: the decision.

ModelRuns onMedian decisionStatus
Myles-G 31BOne data-centre GPUOne data-centre GPU48 msAvailable
Myles-G 12BOne workstation GPUOne workstation GPU31 msAvailable
Myles-G EdgeLaptop- and phone-class GPUsLaptop- and phone-class GPUs21 msBy request
Myles-400MThe cheapest server you haveThe cheapest server you haveAbout 500 msAvailable
Myles-150MA laptopA laptop196 msAvailable
Myles-22MA browser or a phoneA browser or a phone27 msAvailable

Median time for one decision: Myles-G on one GPU, the others on one CPU thread of a desktop processor.

Accuracy, method and full results 

Assurance

Built in the UK. Stays in your estate.

Security and assurance For government 

  • Your data stays put. Myles runs on hardware you operate. Nothing is sent to us.
  • Works offline. Including disconnected and air-gapped networks.
  • Lineage published. No Chinese-origin models or data, and no hosted-model outputs in training.
  • Errors measured. A certified error rate on held-out data; the rest goes to a person.
  • UK public text. Legislation, GOV.UK guidance and the parliamentary record, under open licences.
  • Built in the UK. Trained and evaluated on UK-owned hardware.

Licensing

Evaluate. License. Run it yourself.

01 · Evaluate

Start with your own decisions.

Send us a sample. We measure Myles on it and show you the error rate before you commit.

02 · License

One licence per deployment.

Monthly or annual. No per-decision fees: it runs on your hardware.

03 · Run

Upgrade with the evidence.

Every new version ships with its measured results, so you can compare before you switch.

How licensing works Decision API: from £0.0015 per million input tokens 

Start here

See what Myles does with your decisions.

Get a key and call the Decision API, or run Myles on hardware you own.

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Meet Myles-22M.

A tiny decision model with 22.7M parameters, running in your browser. Give it a message and a question, and it returns a probability for every option in one pass. Nothing you type leaves your device.

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Myles-22M is an experimental model and can make mistakes. Please don't rely on it for anything important. Model card