Model Studio
Develop and compare statistical, machine learning, graph, and rules-based models with repeatable evidence.
Quantitative risk platform
The control plane for quantitative risk.
Model, monitor, simulate, and govern each decision in one inspectable environment.
A live path from stress to action.
Change the scenario and inspect how the composite score, leading driver, and recommended action move together.
Composite risk
/100
ReviewBaselineSevere
Leading driverPayment velocity
Recommended actionTighten review threshold
Evidence retainedFeatures, model version, policy, reviewer
Every engine shares the same evidence trail.
Risk Scoring
Translate model outputs into calibrated scores, grades, limits, routing logic, and human review queues.
Scenario Lab
Run deterministic, probabilistic, sensitivity, and reverse-stress simulations against accepted baselines.
Monitoring
Track data quality, drift, stability, performance, overrides, and business outcomes across model versions.
Evidence Store
Keep lineage, datasets, features, tests, approvals, decisions, and audit exports connected.
Decision Integration
Serve governed outputs through APIs, files, event streams, analyst workbenches, and existing risk systems.
Fit the control environment you already operate.
FiboRisk can run as a dedicated cloud tenant or within a private deployment pattern agreed during the SOW.
Connect the evidence
Warehouses, lakes, operational databases, event streams, files, and approved third-party sources.
Separate development and production
Environment boundaries, release gates, model registries, and approvals match your risk policy.
Serve decisions safely
Batch, real-time, and analyst-assisted decisions with thresholds, fallback logic, and explicit human authority.
Export the audit trail
Evidence packs support internal validation, audit, regulators, model committees, and procurement reviews.
Start with one model or one decision