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Tilores

Entity resolution engine that unifies customer records across systems using deterministic and probabilistic matching in real time.

Founded 2020 Berlin, Germany 1-10 employees Seed Updated Feb 2026

Tilores Pros & Cons

Key strengths and limitations to consider

Strengths

  • Entity resolution for customer data
  • Real-time identity matching
  • Privacy-preserving design
  • Flexible matching rules

Limitations

  • Specialized identity focus
  • Requires integration work
  • Newer platform in market

Ideal For

Who benefits most from Tilores

Quick Analysis

Tilores is a specialized entity resolution platform that competes with LiveRamp Identity, Zingg, and Senzing in the identity resolution and data matching space. It focuses specifically on real-time record deduplication and entity unification — connecting fragmented customer records across CRMs, data warehouses, and operational systems into a single golden record. Unlike broader CDPs that include identity resolution as a feature, Tilores is a dedicated matching engine.

The platform's strength is its speed and accuracy for high-volume matching scenarios. It uses a combination of deterministic rules and probabilistic algorithms, with sub-second response times suitable for real-time use cases like fraud detection and customer service lookups. Ideal customers are enterprises with millions of records across multiple systems who need accurate identity resolution without deploying a full CDP.

Buyers should evaluate Tilores against Zingg (open-source alternative) for cost sensitivity, and against LiveRamp for pre-built marketing ecosystem integrations. If your primary need is marketing activation rather than operational data quality, a CDP with built-in identity resolution (like Segment or mParticle) may be more practical. Validate matching accuracy on your specific data patterns before committing.

1

Companies with fragmented customer data

2

Identity resolution initiatives

3

Customer 360 projects

4

Data quality improvement programs

Usage-Based

Capabilities

Core Capabilities

Identity Resolution / ID Graph Profile Unification / Stitching

Also Supports

Real-time Profile API

Pricing

Model

usage based

Key Features

  • Real-time entity resolution and matching
  • Deterministic and probabilistic matching algorithms
  • Golden record creation
  • API-first architecture for embedding
  • Sub-second query response times
  • Configurable matching rules
  • Batch and streaming processing modes

Popular Integrations

Tilores works seamlessly with these tools:

Snowflake for data warehouse
Salesforce for CRM
BigQuery for analytics
dbt for data modeling

Real-time entity resolution API designed for fraud detection, compliance, and customer 360 use cases. Tilores provides sub-millisecond identity matching that integrates directly into operational systems and data pipelines.

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