TiloresReal-time customer data unification for resolving fragmented records across systems

4.5 (6)

Reviewed by Daniel Nikulshyn·Updated July 2026

Entity Resolution Customer Data API Real-Time Data Integration Enterprise Developer Tools

Overview

Tilores is an entity resolution and customer data platform that connects fragmented records from multiple sources into a single, unified view. Using fuzzy matching and configurable rules, it links data across CRMs, databases, and applications without requiring upfront data cleansing or a centralized warehouse. The platform exposes unified profiles through APIs, enabling teams to query consolidated customer information in real time for use cases like fraud detection, compliance checks, marketing personalization, and customer support. It is designed to scale across large datasets while keeping source systems intact. Tilores is typically aimed at engineering and data teams who need accurate identity resolution without building and maintaining custom matching infrastructure in-house.

Key features

Fuzzy matching and entity resolution
Real-time unified customer profiles
REST and GraphQL APIs
Configurable matching rules
Connects multiple data sources
Scalable cloud infrastructure

Pricing

Model: Free
Category: Data Analysis
Rating: 4.5 / 5 (6)

Use cases

Fraud Detection Across Systems

Unify customer records from multiple sources in real time to spot duplicate identities, suspicious patterns, and inconsistencies that indicate fraudulent activity.

Compliance and KYC Checks

Consolidate fragmented customer data to support compliance workflows, ensuring accurate identity verification and regulatory reporting across databases and applications.

Personalized Marketing Campaigns

Query unified customer profiles via API to power segmentation and personalization, delivering consistent messaging based on a complete view of each customer.

360° Customer Support View

Give support teams a single, real-time view of customer interactions and records pulled from CRMs and other systems without migrating data to a central warehouse.

Pros & Cons

Pros

Real-time entity resolution across disparate sources
API-first design for easy integration
Handles fuzzy matching and inconsistent data
Scales to large datasets without manual cleansing

Cons

Requires technical setup and engineering resources
May be overkill for small or simple datasets
Pricing and configuration less suited to non-technical users

Reviews

4.5

Average from 6 ratings.

Devin Walker

May 18, 2026

Solid for our team

We rolled this out across the team last quarter and handles fuzzy matching and inconsistent data. Scalable cloud infrastructure fits neatly into how we already work, and rEST and GraphQL APIs removed a step we used to do by hand. but it has held up under daily use.

Fatima Zahra

May 15, 2026

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on configurable matching rules, and scales to large datasets without manual cleansing caught me off guard. still, I'd recommend giving it a real trial.

Carlos Mendoza

Apr 3, 2026

Does the job

Pretty happy overall. Real-time unified customer profiles just works and handles fuzzy matching and inconsistent data. Requires technical setup and engineering resources can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

Camille Laurent

Jan 18, 2026

Solid for our team

We rolled this out across the team last quarter and scales to large datasets without manual cleansing. Configurable matching rules fits neatly into how we already work, and configurable matching rules removed a step we used to do by hand. Requires technical setup and engineering resources, which is the main caveat, but it has held up under daily use.

Victor Nguyen

Nov 25, 2025

Use it every day

Honestly didn't expect to like it this much. Scalable cloud infrastructure is exactly what I needed, and aPI-first design for easy integration. but I reach for it almost every day now and it just clicks.

Ahmed Saleh

Sep 11, 2025

Years in this space

I've evaluated a lot of these over the years. What stands out here is real-time unified customer profiles — handled better than most — and real-time entity resolution across disparate sources. Requires technical setup and engineering resources is my one real gripe. Worth the time if this is your use case.

Q&A

What integration options are available for accessing unified customer profiles?

Tilores exposes unified profiles through both REST and GraphQL APIs, allowing easy integration with applications, analytics tools, or downstream services across any language or platform.

Asked by Linda Petersen · Feb 19, 2026

Can Tilores be used for high‑volume use cases like fraud detection or KYC compliance?

Yes, the platform is built on scalable cloud infrastructure and can process large datasets in real time, making it suitable for fraud detection, AML/KYC checks, and other compliance scenarios.

Asked by Hosanna Marte · Feb 18, 2026

What technical resources are required to set up Tilores in an organization?

Implementation needs engineering or data‑team involvement to configure data source connectors, define matching rules, and integrate the API; it is not a plug‑and‑play solution for non‑technical users.

Asked by Aaliyah Johnson · Nov 25, 2025

How does Tilores handle real-time entity resolution without a centralized data warehouse?

Tilores connects directly to source systems and applies fuzzy matching and configurable rules on the fly, creating unified customer profiles via its REST and GraphQL APIs without moving data into a separate warehouse.

Asked by Gustav Lindberg · Nov 21, 2025