RiskPredict is an underwriting desk for digital assets. Score an asset, quote a premium, bind the policy, and run the claim end to end — on a model that returns every factor it used, so the same asset scores the same way twice and a disputed price has a line item to argue with.
Paid plans open shortly — the free tier is live now
Four screens and six endpoints, each of which does exactly one thing you can point at.
Score any of six asset classes — revenue stream, contract, brand, digital product, creative asset, IP claim — against a coverage amount. You get a 1–100 score, a rate band, a premium, and the itemised factors that produced them.
A quote is a stored, expiring object. Issuing a policy binds one quote by id and takes coverage, score and premium from that record — a policy cannot be written at a price the desk never quoted, and a quote can only ever bind once.
File against a live policy, get an automatic fraud score and a proposed 90/10 settlement split, then approve, settle or deny. Expired and revoked coverage refuses claims outright rather than accepting them and sorting it out later.
Every claim carries an evidence locker and an append-only timeline. Fraud indicators are named, not scored in the dark: thin description, no evidence attached, requested over 90% of coverage, elevated automatic score.
Push signals — threat, breach indicator, fraud signal, market shift, claim surge — from your own monitoring or from other Graylight nodes, and have them move a bound policy's score while it is live. Revoked and expired policies are never re-scored.
Coverage written, premium booked, and settlements paid — with denied and still-open claims reported separately instead of folded into the totals. A refusal is never counted as revenue.
A quote returns the arithmetic, not a verdict. Six factors, each bounded, each derived from your own book.
"risk_score": 58, "risk_status": "LOW_RISK", "risk_rate": 0.05, "premium_amount": 2500.00, "factors": [ { "factor": "asset_class", "points": 25, "reason": "Base rate for asset class \"brand\"" }, { "factor": "coverage_band", "points": 10, "reason": "Coverage at or above $50,000" }, { "factor": "claims_history", "points": 9, "reason": "3 non-denied claims on this asset class in the last 12 months" }, { "factor": "live_telemetry", "points": 9, "reason": "Net fleet risk telemetry over 30 days (+9)" }, { "factor": "concentration", "points": 5, "reason": "This asset would be 62% of the active book" } ] // Same asset, same book, same score. Every time.
There is no AI in the price. The score is a documented, deterministic model, and that is the point: an underwriting price you cannot re-derive is one you cannot defend in a coverage dispute. Reproducible beats mysterious.
RiskPredict is software, not an insurer. It is the desk you run your own book on — quoting, binding, claims handling and the exposure ledger. It does not carry risk, hold capital, or move money to a claimant; settlement figures are yours to act on.
It is not identity or transaction fraud scoring. Earlier versions of this page said it was. It scores assets you are covering, not requests hitting your API.
The assessment is the metered unit. Policies, claims, evidence and the exposure ledger are never metered — your underwriting record is yours on every plan.
Billing is handled by Chancellor, Graylight's billing orchestrator. RiskPredict holds no card details and no payment credentials of any kind. Cancelling drops you to the free tier's assessment limit and switches telemetry off — it never deletes a policy, a claim or a piece of evidence.
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