⚠️ Beta / Active Development - Not for Production Use
This product is in Development and is NOT intended for production deployments.
- Subject to breaking changes without notice
- Not covered by service level agreements
- May contain bugs, errors, or security vulnerabilities
- Features may be modified or removed
- Provided "AS IS" without warranties
For production use, select Generally Available (GA) products only.
Q-Risk-Engine
DevelopmentQuantum-Inspired Credit Risk & Fraud Engine
Q-Risk-Engine is a hybrid quantum-inspired risk platform for institutional-grade credit risk scoring, fraud detection, and portfolio optimization. Built across four planes — credit, fraud, optimization, and governance — with 8 core modules and proto-defined service contracts. Delivers TypeScript, Python, and Java SDKs for integration into existing risk infrastructure. The engine applies quantum-inspired optimization algorithms to credit scoring models, enabling faster convergence on risk surfaces that classical solvers struggle with at scale. Fraud detection leverages anomaly detection with graph-based relationship modeling across transaction networks. The governance plane enforces policy, audit trails, and regulatory reporting across all risk decisions.
4
Risk Planes
8
Core Modules
3 languages
SDKs
Quantum-inspired
Approach
Proto-defined
Contracts
Development
Stage
Stack Capabilities
What Q-Risk-Engine delivers
Hybrid quantum-inspired credit risk scoring with classical fallback for production reliability
Fraud detection with graph-based transaction network analysis and anomaly scoring
Portfolio optimization using quantum-inspired solvers for large-scale risk surfaces
Governance plane with policy enforcement, audit trails, and regulatory reporting
4 planes: credit, fraud, optimization, governance — 8 core modules
Proto-defined service contracts for institutional integration and interoperability
TypeScript, Python, and Java SDKs for multi-language enterprise deployment
Real-time risk scoring with sub-100ms latency targets for transaction decisioning
Interfaces & Modules
Integration surfaces
Deployment
Where it runs
On-premises, VPC, or hybrid for regulated financial institutions
Total Addressable Market (Yr.2030)
$200B
Third-Party Services & Dependencies
CUI Labs products integrate with and depend on third-party services including blockchain networks, cloud infrastructure providers, cryptographic libraries, identity providers, and certificate authorities.
CUI Labs is not responsible for:
- Availability, performance, or security of third-party services
- Changes to third-party APIs, protocols, or standards
- Third-party service outages, breaches, or failures
- Costs associated with third-party services
- Compliance of third-party services with applicable laws
Performance metrics and capabilities may be affected by third-party service limitations. Customers are responsible for evaluating and accepting risks associated with third-party dependencies.
Interested in Q-Risk-Engine?
Discuss deployment options, technical evaluations, and structured pilots with the CUI Labs engineering team.