Decision-first
Every insight targets a specific high-stakes decision — a fraud alert, a haul plan, a valuation, a control-room call.
Insights/Impact
From the labto the lineof business.
Technical notes and success cases from both our products and the industries we cover.
Financial CrimeMiningOil & GasQuant FinanceSciAI
Editorial principles
What every MRM insight has to do.
We do not publish generic AI takes. Every piece connects an argument to a decision and an industry.
Rigor over rhetoric
Physics, math and domain theory come before model hype. Claims we cannot defend do not ship.
Field-tested
Ideas are validated against production data, client outcomes and reproducible experiments before they are published.
Use cases
How impact becomes proof.
Each impact case is built on production metrics, auditable evidence and a clear decision trace.
Production metrics
Precision, recall, alert rate and business outcome — measured on real transactions, not slide decks.
Auditable evidence
Every claim is backed by data, methodology and the assumptions we tested before the result went live.
Decision trace
Each result links to a specific operational decision — approve, block, investigate or escalate.
Featured insight
The biometric fallacy: identity is safe, money is not.
Biometrics help confirm who entered the account. They do not prove the person is still in control when the money moves. SciFraud reads behavior across the full session — before, during and after the payment.
Authentication verifies access
Face, fingerprint and device checks confirm the login event. Necessary — but not sufficient for high-stakes payments.
Fraud happens after access
Remote access tools, social engineering and malware operate once the customer is already inside the session.
Behavior reveals the hand on the wheel
Cadence, cursor and journey context expose when the session stops looking like the real customer.
All insights & impact
Browse the latest
Impact cases and editorial notes, organized by product and industry.