Flexible ingestion and preparation
Tilores ingests records through API, prebuilt connectors, or bulk import, then cleanses, normalizes, and enriches data before matching.
Tilores
소유권 인증Tilores is a real-time entity resolution platform that unifies customer data for fraud, compliance, Customer 360 and AI workflows with serverless API access.
What Tilores is
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.
Core capabilities
Deterministic and ML-based 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.
Real-time entity querying
The product resolves duplicates in real time and returns unified entity graphs through GraphQL or SQL with type-safe schemas and full audit trail.
Fuzzy matching across messy data
The platform handles fuzzy matching across names, addresses, IDs, phone formats, email domains, and custom attributes.
Traceable golden records
Resolved records include source attribution and lineage, so values can be traced back to the original source record.
Connector and event support
Tilores connects to popular systems through prebuilt connectors and event interfaces, including Salesforce, HubSpot, Snowflake, webhooks, and event streams.
Practical use cases
Fraud detection and prevention
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.
Customer 360
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.
KYC and AML compliance
Use entity resolution and fuzzy matching to improve identity verification workflows and reduce false positives in KYC and AML checks.
CDP and MDM
Use the resolved entity layer as the backbone for a customer data platform or master data management workflow that maintains a current golden record.
AI and RAG
Use the unified customer record to provide cleaner context to AI systems, including retrieval-augmented workflows and customer assistants.
Pros and Cons
Pros
- Resolves records in real time instead of relying on batch jobs.
- Supports both deterministic and ML-based matching.
- Exposes resolved entities through GraphQL and SQL.
- Provides lineage and auditability for resolved values.
- Offers multiple deployment models, including managed cloud, customer AWS, and on-premise.
Cons
- Pricing is custom and quote-based rather than published as a simple self-serve plan.
- Some integration and deployment details are confirmed only at a high level on the site, so buyers may need a demo or evaluation build to validate fit for their stack.
FAQ
What does Tilores do?
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.
How do teams use it in practice?
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.
How is Tilores deployed and priced?
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.
What kinds of use cases does it support?
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.
Is there an evaluation version available?
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.
Quick Facts
- Category
- Entity resolution infrastructure
- Primary users
- Fraud, compliance, Customer 360, AI, and data engineering teams
- Platform
- Serverless API with GraphQL and SQL query access
- Deployment
- Managed cloud, customer AWS account, and on-premise
- Pricing
- Custom enterprise pricing based on data volume, deployment model, SLA, and support
- Source domain
- tilores.io
Tilores 분석
Tilores· 월간 방문 수 1.2만· 글로벌 순위 #1,950,361
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- 월간 방문 수
- 1.2만
- 글로벌 순위
- #1,950,361
- 카테고리 순위
- #20,545
- 사용자 이탈률
- 43.8%
- 평균 방문 시간
- 00:34
- 방문당 페이지 수
- 1.95
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트래픽 소스
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- 디스플레이 광고0.00%
주요 지역
- 미국24.0%
- 인도17.0%
- 베트남13.8%
- 영국8.67%
- 네덜란드8.59%
- 기타27.9%