A complete AI risk reasoning engine built for speed, explainability, and the compliance requirements of modern financial services.
From raw signals to auditable decisions — in milliseconds. Here is the architecture that makes it possible.
The Prism Layer reasoning engine ingests structured and unstructured financial signals, runs them through a weighted ensemble of risk models, and produces a single decision with a full reasoning trace. No black box. No guessing.
Schedule a Technical WalkthroughPrism Layer connects via REST API to your existing data infrastructure — core banking systems, data warehouses, bureau feeds, and internal models. Pre-built connectors for major financial platforms cut integration time to hours, not months.
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Every decision Prism Layer makes is logged with a timestamped, immutable audit entry that includes model version, input signals, feature weights, and outcome reason codes. Ready for regulatory examination on day one.
See Compliance FeaturesEverything you need to deploy production-grade AI risk decisioning in a regulated environment.
Multi-model ensemble reasoning that weighs signals in context and generates decisions with full feature attribution and confidence scores.
Composite risk scores derived from up to 12 integrated model outputs, calibrated continuously against live performance data.
Immutable, timestamped decision logs with full input context, model version, and reason codes. Exportable on demand for regulatory review.
Deploy, roll back, and A/B test risk models without downtime. Shadow mode lets you validate new models against live traffic before promotion.
REST endpoints, webhook callbacks, and OpenAPI documentation. Integrate into any stack, language, or deployment environment with minimal effort.
Built-in guardrails for fair lending, FCRA, and GDPR obligations. Configure regulatory constraints as policy rules that govern every decision.
Request a technical walkthrough with our engineering team. We will map your use case to the platform architecture and show you exactly what integration looks like.
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