E&O
Reviewable output
Outputs are structured for an underwriter to review, challenge, and document, not a single number to rubber-stamp.
03 · Serlyx
Deterministic risk assessment and E&O underwriting grounded in real-world failure data, with honestly labeled estimates. Not a score you cannot check.
The standard
Serlyx applies the ClarityOps standard to the question of whether an AI system is insurable. Failure modes are labeled. Estimates are labeled as estimates. The underwriter stays in charge.
Most AI-risk scores ask you to trust a number. Serlyx produces an assessment an underwriter can review, challenge, and document.
What it produces
Reviewable output
Outputs are structured for an underwriter to review, challenge, and document, not a single number to rubber-stamp.
How systems actually fail
Assessment is tied to observed failure modes and operational context, not a generic model-risk rubric.
Honest about uncertainty
Where the evidence is thin, the system says so. Estimates are labeled. Confidence is not theater.
Control
Results are computed and traceable. An underwriter can see how a conclusion was reached and defend it.
Serlyx is decision support. Accountable judgment stays with the underwriter, not the model.
Everything VedAGI builds is local and offline-first by default, including Serlyx, when the work cannot leave the premises.
We work with a few enterprise and public sector teams at a time, because doing this properly means getting into the real work, not a demo.
If that is the problem you are wrestling with, talk to us.
VedAGI. Intelligence for Humanity.