Financial Services Semantic AI Platform
Knowledge graph-powered semantic layer for Financial Services & Insurance
Providing Financial Services and Insurance teams the platform to make AI intelligent, delivering on the promise of operational efficiencies, mitigated risk, ensured compliance, and accelerated speed to market.
Trusted by Financial Services and Insurance leaders at:
We can provide a holistic view of a customer and manage risk across multiple silos — we used to have an army of Excel ninjas to do this stuff. Even in regulatory programs, we can be an authoritative source of data.
Benefits of a Knowledge Graph-Powered Semantic Layer for Financial Services
Unlock the full value of financial services and insurance data through a knowledge graph-powered semantic layer built for collaboration, relationship discovery, enriched context, and enterprise integration.
Collaborate with ease
Go ahead and let teams define terms differently — with Stardog, you can analyze multiple models over the same data.
Uncover connections
Our Pathfinder uncovers distant, indirect links across data sources, enabling sophisticated fraud detection.
Enriched metadata
Unifying data that has been repeated across sources also associates relevant metadata.
Plays well with others
Stardog easily connects with ontologies like FIBO, custom-developed solutions, and existing infrastructure.
Stardog's Use Cases for Financial Services and Insurance
Fast, hallucination-managed, traceable answers for all your Financial Services and Insurance data. Stardog’s knowledge graph-powered semantic layer can help:
Credit & operational risk analysis
Unify exposure data across products, entities, and regions to assess firmwide credit and operational risk with greater precision and real-time context.
Regulatory compliance & reporting
Trace regulatory requirements to underlying data, controls, and reporting outputs to support audit-ready compliance and reduce manual reconciliation.
Customer 360 & Know Your Customer (KYC)
Link customer, account, and policy data across systems to create a trusted, comprehensive view that strengthens onboarding, ongoing monitoring, and risk assessment.
Claims & insurance fraud detection
Reveal relationships between claimants, providers, policies, and prior incidents to identify organized fraud schemes and reduce losses across insurance portfolios.
Underwriting & risk intelligence
Connect historical claims, policy performance, financial exposure, and external risk signals to improve underwriting decisions, pricing accuracy, and portfolio performance.
Try our Financial Services and Insurance knowledge pack
Prebuilt Knowledge Packs that eliminate up to 80% of typical onboarding time and accelerate implementation timelines.
- A well-defined data model covering a horizontal or vertical business domain.
- A set of embedded questions to allow the Semantic AI Platform to answer questions right away.
- Sample data that can be easily removed.
- An accelerator for getting insights fast!
Case Study
Morgan Stanley leverages Stardog to generate deep, trusted insights
Stardog streamlines risk analysis, exposes hidden risks, and boosts analyst efficiency, aiding Morgan Stanley in cost reduction and regulatory compliance while minimizing regulatory penalties.
Stardog creates a map of connected data sources that enables analysts and executives to better navigate risk and compliance data to establish a clear view of firm risks.
Bringing Clarity to Financial Services & Insurance Challenges
Insurance and financial institutions struggle with data fragmentation that obscures risk, slows compliance, and limits AI effectiveness. Here's how Stardog's knowledge graph-powered semantic layer solves the challenges traditional data architectures can't.
Financial Challenges
- Financial and insurance data is fragmented across core systems, limiting enterprise-wide visibility into risk and performance
- Fraud and money laundering schemes span accounts, policies, and counterparties, making indirect relationships difficult to detect
- Regulatory reporting requires manual reconciliation across disconnected systems, increasing cost, complexity, and audit risk
- Risk, finance, underwriting, and compliance teams rely on conflicting definitions that undermine alignment and decision-making
- Disconnected customer, account, and policy data obscures full exposure and risk relationships across the organization
Stardog's Solutions
- Connect siloed systems into a unified data foundation that delivers consistent visibility for analytics, reporting, and AI
- Expose hidden relationships across transactions, customers, and claims to strengthen fraud detection and investigative workflows
- Link regulatory requirements directly to authoritative data sources to streamline reporting and support audit-ready compliance
- Support multiple business perspectives over the same trusted data to improve consistency without forcing a single definition
- Create a connected 360-degree view that links customers, policies, transactions, and claims in one context
Stardog's Solutions for Financial Services & Insurance Teams
Enable cross-functional teams to make AI intelligent with a connected, traceable foundation for financial and insurance data.
Stardog for Revenue & Finance Teams
Revenue and finance teams struggle to reconcile performance, exposure, and risk data across siloed banking and insurance systems, slowing reporting and undermining confidence in metrics.
Stardog connects financial and insurance data into a unified semantic layer that delivers consistent metrics, reduces reconciliation effort, and supports faster, risk-informed decisions.
Stardog for Data & Analytics Teams
Data and analytics teams spend significant time integrating fragmented financial and insurance data, limiting their ability to deliver reliable insights and enterprise-grade AI.
Build a unified data foundation that preserves context, reduces preparation effort, and enables trusted analytics and AI at scale.
Stardog for Technical Teams
Technical teams must integrate legacy core banking, policy administration, and risk systems while maintaining performance, scalability, and regulatory integrity.
Layer semantic integration across existing architectures with support for industry standards like FIBO, enabling scalable data access without replacing core systems.
Stardog for Risk & Compliance Teams
Risk and compliance teams struggle to trace exposures, controls, and regulatory requirements across fragmented financial and insurance systems.
Establish end-to-end traceability across data, models, and reporting to support confident risk analysis and audit-ready compliance.
Financial Services & Insurance Insights & Resources
Webinar on Demand
Building the Knowledge Foundation — An Inside Look at Boehringer Ingelheim's Architecture
Watch this on-demand webinar for a deep dive into how Boehringer Ingelheim is shaping its Knowledge Foundation architecture with the Stardog platform.
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Webinar on Demand
Building a Semantic Layer with MCP and LangChain for Agentic AI
Get tangible benefits for your data architecture, including improved token efficiency, grounded and accurate responses, and the traceable truth necessary for enterprise-grade AI.
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Webinar on Demand
LLMs + Knowledge Graphs: Enabling Trustworthy AI Agents
Explore why AI agents need access to consistent, timely, and contextualized internal data — and how semantic layers and knowledge graphs deliver it.
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