Last updated 08-09-2026
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Tilores
Tilores is an analytics and data infrastructure tool that links duplicate customer, company, and transaction records scattered across CRMs, support tools, and data warehouses into one resolved entity graph your teams can query in real time. It ingests records as they arrive, applies explicit fuzzy-matching rules, and exposes golden records through a GraphQL API that fraud, compliance, marketing, and AI systems can all read from.
Vector databases answer what documents look similar. Tilores answers which records belong to the same person or company across your stack, with auditable match rules you can show a regulator. Exiger used it to resolve 110 million company records from 16 sources into 60 million entity clusters, with query latency around 100 milliseconds on AWS.
Tilores Studio lets data engineers run entity resolution locally on up to 100,000 records for free. Production deployments run managed on AWS, inside your own cloud, or on-premises so customer data never leaves your perimeter. IdentityRAG extends the same resolved graph to AI agents that need persistent entity memory instead of stale batch snapshots.
Resolves records in under 300 milliseconds on managed AWS, or 2 milliseconds self-hosted
GraphQL API returns golden records with match explainers and per-field source traceability
Tilores Studio processes up to 100,000 records locally at no cost
Exiger deployment resolved 110 million source records into 60 million entity clusters
IdentityRAG layer gives AI agents persistent entity memory instead of vector similarity alone
Explicit matching rules are tunable, auditable, and regulator-ready with no black-box scoring
Real-time ingestion replaces overnight batch deduplication jobs
Match explainers show regulators exactly why two records were linked
Free Tilores Studio handles 100,000 records locally before any sales call
Deploys inside your perimeter when data cannot leave your environment
IdentityRAG gives AI pipelines canonical entity context beyond vector similarity
Production pricing is quote-based with no published per-record tiers
GraphQL-first API may require engineering effort for non-technical teams
Enterprise deployments still need tuning of matching rules for noisy source data
IdentityRAG and full production features require a demo or sales engagement
What does Tilores do?
Tilores performs real-time entity resolution, linking duplicate person and company records across CRMs, ERPs, and data warehouses into one golden record. Teams query the resolved graph through a GraphQL API for fraud, KYC, Customer 360, and AI use cases.
How fast is Tilores entity resolution?
Tilores ingests and matches records in under 300 milliseconds on managed AWS deployments, or about 2 milliseconds self-hosted. Query responses run near 100 milliseconds at scale on AWS, or about 1 millisecond self-hosted.
Is Tilores free to try?
Tilores Studio is free and runs entity resolution locally on up to 100,000 records. The site also offers 13 free fuzzy-matching algorithm tools with no signup. Production enterprise pricing requires a custom quote.
How does Tilores differ from vector databases?
Tilores resolves which records belong to the same real-world entity across your systems. Vector databases return semantically similar documents. Tilores IdentityRAG is designed to complement vector search when AI needs canonical customer or company truth.
Where can Tilores be deployed?
Tilores is AWS-native by default and runs managed in Tilores cloud, inside your own AWS account, in other clouds, on-premises, or on a laptop via Tilores Studio. The same GraphQL API and matching rules apply across deployment models.
Who uses Tilores in production?
Tilores customers include Exiger, Inato, Grover, and Cofinity-X. Exiger resolved 110 million company records from 16 data sources using Tilores as the entity layer beneath its supply-chain AI products.