Vela AI
Platform

Vela Reason, as an API you can audit.

One endpoint, four verbs, and a trace on every response. Deploy in your VPC or on-prem, tune on your documents, and route anything below your confidence threshold to a person.

Fig. 01 - Capabilities

What the platform does.

capability

Verifiable reasoning

Every answer comes with a reasoning trace - a step-by-step chain you can inspect, audit, and re-run. Faith not required.

capability

Domain-grounded

Vela Reason is tuned on your policies, your contracts, and your historical decisions - not on internet folklore.

capability

Deployable under lock

Runs in your VPC or on-prem. Data stays in your compliance boundary, models ship as signed artifacts.

capability

Human in the loop

Low-confidence decisions route to a person by default. The model drafts; the accountable human signs.

A Vela Reason trace: connected reasoning steps with verification marks
Fig. 02 - The trace

The response is a document, not a guess.

Every API response returns a trace object: the reasoning chain, its citations, a verification score, and a confidence value. Export it, hash it, file it with the case.

  • Deterministic re-run of any decision
  • Immutable, hashed audit exports
  • Confidence threshold routing to humans
  • Signed model artifacts with checksums
Fig. 03 - Common questions

The details, before you ask.

What does 'traceable reasoning' actually mean?
Every decision returns a chain of reasoning steps, each with citations to the source material it used. You can export the chain as an audit document and re-run it deterministically.
Can you run on-premises?
Yes. Vela Reason ships as a signed model artifact and runs in your VPC or on-prem. We support air-gapped deployments for the most sensitive environments.
How does human oversight work?
The API returns a confidence score with every decision. Anything below your threshold is routed to a queue for a person, and the draft plus trace is attached to the case record.
Is the model fine-tuned on my data?
For enterprise deployments, yes - on your policies, contracts, and historical decisions, inside your data boundary. Your data is never used to train shared models.
Get started

Bring your documents. We'll bring the trace.