Posidex Customer Entity Resolution and Matching vs Tilores

Posidex Customer Entity Resolution and Matching links customer records across systems and data sources to create a unified customer view. Delivered through the AI/ML-powered PrimeMDM platform, it classifies records as the same, possibly the same, related, or possibly related. For onboarding, it can compare demographic data with KYC details in real time, validate submitted information, and cross-reference identity documents and utility proofs including PAN, Aadhaar/SSN, passports, voter IDs, driving licenses, and utility bills. Its engine assigns authenticity scores, and teams can configure granular match rules across multiple parameters. Organizations can upload bulk batches without constraints on the number of fields. Posidex says the solution can manage 5 billion records in one go with 99.5% match accuracy, and can be implemented in as little as three months. API integration is described as providing fast results with minimal latency. The product can find records across enterprise systems, apps, and knowledge bases on premises or in the cloud. Posidex describes global search as federated and encrypted, and the offering as designed for privacy. Pricing is on request; the site offers demos and sales contact. Supported deployment platforms include API, Linux, macOS, self-hosted, web, and Windows.

Tilores resolves duplicate and conflicting records into unified entity profiles in real time. It maps, normalizes, and enriches fields such as names, phone numbers, and addresses before applying deterministic rules and fuzzy matching. Results can include explainable links, a quality score, and an audit trail. A real-time GraphQL API supports entity retrieval, ranked fuzzy searches, and aggregation of source records. Listed connectors include Salesforce, HubSpot, and Snowflake, alongside webhooks and event streaming. Deployment options include managed AWS, a customer's AWS account or another cloud, and on-premise installations. Developers can connect entity resolution to LangChain and Amazon Bedrock through IdentityRAG; the company says it works with any LLM through LangChain. Tilores Studio runs locally on macOS Apple Silicon, Windows x64, or Linux x86_64, storing data on the user's computer. Its free local mode allows up to 100,000 records per deployment. Production pricing is by custom quote, based on data volume, deployment, service requirements, and support.