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yggy vs Tilores

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

yggy compared with Tilores
Detailyggy logo yggyTilores logo Tilores
What it doesKnowledge graphs built and kept up to date automatically Real-time entity resolution to unify scattered customer data
StageNot given Established
FoundedNot given 2021
Based inNot given DE
Pricing modelContact for pricing Contact for pricing
PricingNot given Pricing based on Unified Customer Records (UCRs) and shaped by four factors: data volume, deployment model (Managed Cloud, Your AWS Account, Another Cloud, or On-Premise), SLA and compliance requirements, and support level. Tilores Studio Free tier available for up to 100,000 records with no signup
Key features
  • Automatic extraction and modeling from documents and system exports
  • Source attribution on every fact with supporting text and confidence values
  • EU-hosted or on-premises deployment
  • Multi-hop query support for complex relationships
  • RDF-based ontology with OWL 2 RL profile
  • API and MCP access for AI agents
  • Continuous graph updates and duplicate resolution
  • Real-time record matching with sub-300ms ingestion
  • GraphQL and SQL API for entity queries
  • Fuzzy matching across names, addresses, IDs
  • Full data lineage and audit trail
  • Deterministic and ML-based matching
  • Prebuilt connectors for Salesforce, HubSpot, Snowflake
  • Deployment flexibility across AWS, any cloud, or on-premise
  • GDPR-compliant data processing
  • Webhooks and event streaming
What makes it different
  • Sourced, auditable facts for AI agents and people to verify before use
  • Handles multi-hop questions and audit trails better than RAG alone
  • Automatic infrastructure for knowledge graph building without manual pipeline setup
  • Persistent knowledge graph with standard RDF/OWL exports for interoperability
  • Serverless, infrastructure-agnostic platform that runs on AWS, any cloud, or on-premise without platform rebuilds
  • Charges per resolved customer, not raw records, enabling natural scaling for enterprises
  • Production-ready in days vs. years with DIY approaches or competing products
  • Persistent entity memory for AI models ensuring consistent, reliable data retrieval
Community votes00
DR (Domain Rating by Ahrefs)2 no change since last check38 +1 (up) since last check
Trust Flow (Majestic)69
Citation Flow (Majestic)1534
Referring domains (Majestic)7230

4 details filled in for both companies.

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