Entity Resolution Infrastructure for AI Systems That Make Real Decisions

Tilores is a real-time entity resolution platform that creates a unified, resolved view of every person, company, and transaction across your entire data ecosystem. When customer data is scattered across CRM, support tools, data warehouses, and procurement systems—with the same entity appearing under multiple spellings and variations—every team in your business works from a different version of reality. Tilores solves this fundamental data problem at the infrastructure level.

The Problem It Solves

Fragmented entity data breaks AI systems, fraud detection, compliance processes, and customer intelligence. Duplicates hide fraud rings and inflate marketing spend. Incomplete records create KYC gaps and compliance risks. AI models retrieve from inconsistent data, producing unreliable outputs regardless of prompt engineering quality. Tilores resolves entity ambiguity in real-time, providing a single source of truth that every system can depend on.

Key Capabilities

• Real-Time Resolution: Records matched as they arrive with sub-300ms ingestion and ~150ms query latency—no overnight batch jobs or stale snapshots • Explainable Matching Rules: Explicit, tunable, auditable rules you can show to regulators—no black box decisions • Infrastructure Layer Design: Connects via GraphQL API or pre-built connectors; resolved data flows to your warehouse, fraud platform, or AI applications • Scalable Architecture: Proven at 110M+ source records resolved into 60M entity clusters with <24h time to first results • Entity Memory for AI: Provides persistent, canonical entity truth for RAG pipelines, agents, and ML models—complementing vector databases with actual entity resolution

Use Cases Across Teams

Tilores powers fraud detection and prevention, KYC and AML compliance, Customer 360 views, master data management, supply chain intelligence, marketing personalization, CDP identity resolution, and data privacy compliance (DSAR fulfillment). The same resolved entity graph serves risk teams, data engineers, and AI systems.

What Sets It Apart

Built purpose-built for entity resolution—not retrofitted from search engines or graph databases. Unlike vector databases that return similar documents, Tilores returns the resolved entity with clean boundaries. Unlike graph databases, fuzzy matching is native and entity graphs remain auditable at scale. Unlike MDM platforms, it sits as a lightweight layer in your existing stack rather than requiring a platform rebuild. Trusted by AI teams at MediaPrint, Inato, Grover, Cofinity-X, and Exiger, where it resolved 110 million company records across 16 data sources to power AI-driven supply chain intelligence.

Integrations & Deployment

Available on AWS Marketplace with support for other hyperscalers and on-premise deployment. GraphQL-native API with pre-built connectors for existing data sources and downstream systems.