Real-time Entity Resolution
Continuously links and resolves duplicate, conflicting records into a single canonical entity in real time
Sources: https://tilores.io/
Tilores
Category: Identity Resolution
Company: Tilores Inc.
Explore alternatives to Tilores
Learn more about our scoring methodology
Real-time entity resolution to unify scattered customer data. Fuzzy matching, deduplication, and customer 360 for developers — AWS-native by default, infrastructure-agnostic by design.
Target Market: B2C
Key Features
AI-generated feature reference from web research · Generated 2026-09-19; citations identify available source support and do not independently verify every claim.
Fuzzy Matching & Deduplication
Applies fuzzy name, address, phone, and registration-number matching to identify and deduplicate similar records
Sources: https://tilores.io/
Field-level Golden Record Selection
Selects best value per field across sources with provenance tracking to produce a traceable unified profile
Sources: https://tilores.io/
Record Confidence Scoring
Calculates entity-level confidence scores and match explainers to justify linked or excluded records
Sources: https://tilores.io/
GraphQL & Record API Access
Exposes entity resolution results and record insights via low-latency GraphQL and REST-style record APIs
Sources: https://tilores.io/
AWS-Native, Infra-Agnostic Deployment
Runs natively on AWS while supporting deployment in other clouds, data centres, or developer laptops
Sources: https://tilores.io/
Geospatial Normalization & Matching
Normalizes addresses and geocoordinates and applies proximity rules (e.g., ≤50m) for location-based matches
Sources: https://tilores.io/
Use-Case Targeting for Compliance and Fraud
Supports KYC/AML, fraud detection, Customer 360, and MDM workflows by delivering a single trusted identity
Sources: https://tilores.io/
Website: https://tilores.io/
Frequently asked questions
What is Tilores?
Tilores is a real-time entity resolution platform that links duplicate and conflicting customer records across systems into a single resolved record to support fraud detection, compliance, Customer 360, and AI use cases. It is presented as AWS-native by default while remaining infrastructure-agnostic, able to run in cloud, data centers, or locally, and exposes APIs (including GraphQL) for developer integration.
What are its key features?
Tilores offers real-time entity resolution with fuzzy matching and deduplication, an explainable matching/"match explainer" workflow showing linked and excluded records, and field-level reconciliation that picks best values per field with provenance. It also provides APIs (including GraphQL and a Record API), configurable rules for no-match or match behavior, geospatial proximity checks, and deployment options that are AWS-native or infrastructure-agnostic.
Sources: https://tilores.io/product, https://tilores.io/solutions/identity-rag
Who are its primary competitors?
Primary competitors in the identity resolution and customer identity space include Acxiom and LiveRamp, which provide identity graphs, resolution, and data-onboarding services in adjacent market segments.
What industries and types of companies often use Tilores?
Tilores is used by teams that need unified customer views for fraud detection, KYC/AML compliance, Customer 360, and AI/ML — typically B2C-facing organizations of varying sizes that operate in environments requiring identity resolution across CRM, web, support, and ERP sources. The product positioning and solutions pages emphasize use in fraud detection and identity/RAG scenarios, and the platform is aimed at both small and large organizations that need real-time resolution.
Sources: https://tilores.io/solutions/fraud-detection, https://tilores.io/solutions/identity-rag