Fibonacci + Risk: quantitative AI for regulated decisionsExplore the scenario library
FiboRiskRequest a diagnostic

APAC risk solutions

Build around the loss event.

Quantitative AI for the risk decisions already owned by banking, insurance, trading, and supply-chain teams.

Request a diagnostic Explore model scenarios
BankingInsuranceTradingSupply chain

One governed core. Four operating contexts.

Each solution combines predictive signals, anomaly context, calibrated scores, scenario assumptions, and human authority.

Quantitative risk laboratory connecting banking evidence and modeled decisions

See portfolio deterioration before the payment event.

Combine borrower, facility, collateral, sector, transaction, and behavior evidence into explainable early-warning and credit decisions.

PredictionRisk scoringAnomaly detection
Illustrative risk trajectoryBanking
Decisions supported
Portfolio early warningPD, LGD, and EAD modelingFraud and AML prioritizationLiquidity stress
Physical model calibration system representing insurance validation

Connect claims severity, anomaly, and investigator context.

Model pricing, claims, reserving, provider behavior, and customer retention with evidence validation teams can reproduce.

Severity forecastGraph anomalyScenario simulation
Illustrative risk trajectoryInsurance
Decisions supported
Claims severity triageProvider network anomaliesLapse and retentionLoss development stress
Risk analyst observing connected trading and counterparty signals

Stress exposure while the market is still moving.

Monitor position, collateral, liquidity, correlation, market structure, and conduct signals without losing provenance.

Time-series anomalyTail lossCorrelation stress
Illustrative risk trajectoryTrading
Decisions supported
Intraday anomaliesCounterparty limitsConduct surveillanceMarket and liquidity stress
Connected supplier network with concentric dependency paths

Expose the dependency hidden beyond tier one.

Translate supplier, facility, route, ownership, quality, financial, and delivery signals into disruption and sourcing actions.

Disruption forecastNetwork scoringReverse stress
Illustrative risk trajectorySupply chain
Decisions supported
Supplier failure scoringDemand uncertaintyNetwork disruptionConcentration analysis

Start with one decision and one acceptance test.

  1. Qualify the risk scenarioLoss event, owners, current process, constraints, and value case
  2. Validate the model pathRepresentative data, benchmark, challenger, stability, explainability, and limits
  3. Agree the compliant SOWControls, environments, responsibilities, milestones, and commercial scope
  4. Deploy and acceptPrivate environment, integration, evidence pack, model acceptance, and administrator invitations

Plan the commercial scope

Estimate the monthly range before the diagnostic.

$3k-$9kIllustrative monthly range for one governed customer environmentOpen pricing calculator