Flexible ingestion and preparation
Tilores ingests records through API, prebuilt connectors, or bulk import, then cleanses, normalizes, and enriches data before matching.
Resolução de entidades em tempo real para unificar dados de clientes e apoiar fraude, conformidade, Customer 360 e fluxos de IA
Tilores is a real-time entity resolution platform that links duplicate, conflicting, or fragmented customer records into one resolved entity. It is positioned as infrastructure for teams working on fraud, compliance, Customer 360, and AI, where multiple systems often hold different versions of the same person or company.
The product ingests data from APIs, connectors, or bulk import, resolves records using deterministic rules and ML-based matching, and returns unified entity profiles through GraphQL or SQL. The source pages also describe deployment options in managed cloud, a customer’s own AWS account, and on-premise, with pricing shaped by deployment model, data volume, SLA needs, and support level.
Tilores ingests records through API, prebuilt connectors, or bulk import, then cleanses, normalizes, and enriches data before matching.
Its matching engine supports deterministic rule-based matching and probabilistic ML-based matching, so teams can choose the approach that fits their data and workflow.
The product resolves duplicates in real time and returns unified entity graphs through GraphQL or SQL with type-safe schemas and full audit trail.
The platform handles fuzzy matching across names, addresses, IDs, phone formats, email domains, and custom attributes.
Resolved records include source attribution and lineage, so values can be traced back to the original source record.
Tilores connects to popular systems through prebuilt connectors and event interfaces, including Salesforce, HubSpot, Snowflake, webhooks, and event streams.
Use Tilores to identify linked accounts and resolve duplicate identities as data arrives, helping fraud teams spot patterns that would be hidden across separate systems.
Use the platform to unify customer records across CRM, support, warehouse, and other sources so sales, service, and analytics teams can work from one profile.
Use entity resolution and fuzzy matching to improve identity verification workflows and reduce false positives in KYC and AML checks.
Use the resolved entity layer as the backbone for a customer data platform or master data management workflow that maintains a current golden record.
Use the unified customer record to provide cleaner context to AI systems, including retrieval-augmented workflows and customer assistants.
Tilores is a real-time entity resolution platform that links duplicate or conflicting customer records into one resolved entity. The source pages describe it as infrastructure for fraud, compliance, Customer 360, and AI use cases.
The product pages describe Tilores as a serverless API that ingests customer data from APIs, connectors, or bulk import, then returns unified entity profiles through GraphQL or SQL.
The source pages show deployment options in Tilores-managed cloud on AWS Marketplace, in the customer’s own AWS account, and on-premise. Pricing is tailored to deployment model, data volume, SLA, and support requirements.
Yes. The solutions page lists use cases across fraud detection, Customer 360, KYC and AML, data quality and governance, marketing personalization, CDP, MDM, supply chain intelligence, and data privacy compliance.
The download page says Tilores Studio is a free evaluation build that runs locally, includes person matching and company matching, and is limited to 100,000 records.
Os dados de tráfego são apenas para referência.
| abr. | 15869 |
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| mai. | 13176 |
| jun. | 11865 |
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