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Tilores

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Serverless entity resolution API that unifies scattered customer records into real-time resolved profiles via GraphQL for developers.

Sitio web:https://tilores.io/
Añadido en:13 jul 2026
Visitantes mensuales:
11.9K
Redes sociales y correo electrónico:
Entity ResolutionServerless APIGraphQLIdentityRAGCustomer 360Fuzzy Matching
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Tilores
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Información de la herramienta

¿Qué es Tilores?

Tilores is real-time entity resolution infrastructure that ingests customer data from any source, resolves duplicates with fuzzy and rule-based matching, and serves unified entity profiles via GraphQL API for AI, fraud, compliance, and Customer 360 use cases.

Características principales

  • Extract & Transform

    Ingests records from any source in any shape, then maps, normalizes, and enriches fields such as names, phones to E.164 format, and parsed addresses so matching compares consistent data.

  • Match & Resolve

    Applies deterministic rules and fuzzy matching to create explainable edges between records, assembling them into a single resolved entity with a transparent audit trail and quality score.

  • Search & Insights

    Queries the resolved entity graph in milliseconds via GraphQL, supporting ranked fuzzy search by hitScore, recordInsights aggregation across sources, and what-if analysis.

  • Serverless Architecture

    Runs entirely serverless with horizontal scaling, sub-150ms resolution latency at scale, and zero servers, databases, or DevOps maintenance required.

  • IdentityRAG

    Connects Tilores entity resolution to LangChain and Amazon Bedrock so LLMs retrieve unified, deduplicated customer 360 profiles before generating responses, with under 150ms identity resolution.

  • Fuzzy Matching Algorithms

    Includes built-in string distance, similarity, and phonetic algorithms such as Levenshtein, Jaro-Winkler, Soundex, Metaphone, and others for matching.

  • Tilores Studio

    Free local desktop tool to run entity resolution on a machine for up to 100,000 records without infrastructure.

Casos de uso

  • #1

    IdentityRAG for AI

    Provides LLMs with a complete deduplicated customer view by resolving entities across sources before response generation.

  • #2

    Fraud Detection & Prevention

    Links duplicate and conflicting records in real time so fraud systems work from a single trusted entity view.

  • #3

    Customer 360

    Creates a unified golden record of every customer across CRM, support, app, and other systems for consistent customer views.

  • #4

    KYC & AML Compliance

    Supports know-your-customer and anti-money laundering processes with explainable matching rules and audit trails.

  • #5

    Master Data Management

    Resolves entities across systems into golden records for consistent master data without batch processing.

  • #6

    Supply Chain Intelligence

    Unifies company and entity records across sources for supply chain risk and intelligence applications.

Lo mejor para:Developers building data infrastructureFraud detection teamsKYC and compliance teamsAI and LLM application developersCustomer 360 and CRM teamsMaster data management teams

Planes de precios

Tilores Studio is free for local use up to 100,000 records with no signup for free tools. Commercial product offered via AWS Marketplace, other hyperscalers, on-premise, and by booking a demo. No public pricing tiers or amounts disclosed on official pages.

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Preguntas frecuentes

What is Tilores?
Tilores is a serverless entity resolution API that ingests customer data from any source, resolves duplicates in real time using fuzzy and rule-based matching, and serves unified entity profiles via GraphQL for developers building AI, fraud, compliance, and Customer 360 applications.
Is there a free version of Tilores?
Yes. Tilores Studio is a free local desktop tool that runs entity resolution on your machine for up to 100,000 records with no signup or infrastructure required. Commercial deployments are available via AWS Marketplace, other hyperscalers, on-premise, or by booking a demo.
How does Tilores handle data matching?
Tilores applies deterministic rules and fuzzy matching algorithms including Levenshtein, Jaro-Winkler, Soundex, Metaphone and others to create explainable edges between records, assembling them into a single resolved entity with a transparent audit trail and quality score.
What is IdentityRAG?
IdentityRAG connects Tilores entity resolution to LangChain and Amazon Bedrock so LLMs can retrieve unified, deduplicated customer 360 profiles before generating responses, with under 150ms identity resolution.
Which platforms and integrations does Tilores support?
Tilores is available as a GraphQL API, on AWS Marketplace, other hyperscalers, on-premise, and via the local Tilores Studio desktop tool. It integrates with LangChain, Amazon Bedrock and AWS.
Who is Tilores designed for?
Tilores is built for developers creating data infrastructure, fraud detection teams, KYC and compliance teams, AI and LLM application developers, Customer 360 and CRM teams, and master data management teams.

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Información de la herramienta

Modelo de preciosUnknown
CategoríaAnálisis de datos
Etiquetas
Entity ResolutionServerless APIGraphQLIdentityRAGCustomer 360Fuzzy Matching
Idiomaingles
Última actualización16 jul 2026
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