Finance & Banking
Use Ontologies to Map Risk, Detect Fraud, and Ensure Compliance
The Problem
Fragmented Data
Risk, compliance, and customer data sit in disconnected systems — making it impossible to get a unified view of exposure, ownership, or fraud networks in real time.
Manual Workflows
Teams rely on Excel, custom scripts, and siloed tools to run compliance checks and credit assessments — introducing errors, delays, and audit risk at scale.
Compliance & Scale
Regulatory scrutiny is intensifying while fraud evolves faster than models can adapt. AI/ML explainability requirements and model risk management add further strain on legacy infrastructure.
The Perfect Ontology Solution
Why It Matters Now
- Regulatory scrutiny is intensifying across AML, KYC, and credit risk frameworks
- Fraud networks evolve faster than rule-based models can adapt
- AI/ML explainability requirements and model risk management demand traceable, auditable pipelines
- Excel-based compliance workflows are a growing liability at enterprise scale
- Credit risk, counterparty exposure, and beneficial ownership require graph-level reasoning over connected entities
Solution & Features
- Company ownership mapping across complex, multi-tier corporate structures
- Payment network analysis to detect fraud rings and suspicious transaction flows
- Multi-source risk scoring combining structured and unstructured data
- Credit assessment workflows — from application data to governed scoring models
- Replace Excel-based compliance with governed, traceable intelligence
- Full graph analytics without requiring a graph database
Use Cases
- Beneficial ownership and UBO identification
- Transaction monitoring and AML screening
- Credit risk scoring across multi-source data
- Regulatory reporting (Basel, DORA, MiFID II)
- Suspicious activity detection and fraud network mapping
- Legacy workflow modernization — Excel to governed intelligence
Benefits
- 60% faster fraud and AML investigations
- Higher accuracy in risk detection with connected entity reasoning
- Compliance-ready audit trails built into every workflow
- AI-ready data foundation for explainable credit and risk models
- No data migration — works on your existing infrastructure
Get Started in One Session
Every implementation is tailored to your unique challenges. Our forward-deployed engineers collaborate with your team to build ontologies and workflows that solve your exact problems
Power Up Your Stack in 1 Click.
Deploy on your existing infrastructure. Run workloads natively on your existing compute, entirely within your environment with our native integrations.
Resource Center
Perspectives on our customers, future of data, AI, and ontologies.
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GPU-accelerated knowledge graph management for enterprise-scale ontological reasoning.
