Tilores
The API to unify scattered customer data in real-time.
Tilores is an identity resolution software that unifies scattered customer data in real-time, at scale, and without complex engineering. It helps businesses eliminate duplicate records and data silos through intelligent identity resolution. Tilores enables a Customer 360 view, enhances compliance and KYC, improves risk and fraud detection, and powers Retrieval-Augmented Generation (RAG) for AI applications by providing accurate and unified customer data. The platform connects to various source systems, cleanses and normalizes data, and syncs unified profiles back to departmental systems, empowering internal teams to build and report independently.
About Tilores
Tilores offers a solution for businesses struggling with inconsistent, incomplete, and outdated customer data. It addresses the challenge of unifying new and historic data by standardizing schemas and eliminating the need for extensive dedicated development resources to build on top of unified data. Instead, Tilores ensures that unified customer data is synced back to each department's source system, creating a distributed source of truth. This approach allows businesses to effectively manage risk, uncover fraud, and better serve their customers without relying on a centralized system that often requires significant development effort.
The platform provides a Customer 360 View, transforming scattered data into a complete profile that syncs across departments for better customer service, team alignment, and product development. For risk management, it detects fraud at account creation by querying real-time streams of unified data to match new sign-ups or uncover relationships with existing accounts. Tilores also significantly enhances Retrieval-Augmented Generation (RAG) for LLMs by enabling real-time fuzzy search on structured data, providing LLMs with accurate, relevant, and unified customer or company data for more contextual responses.
Tilores is designed for scalability, capable of unifying both new and historical customer data to support diverse use cases. It automates the synchronization of unified customer data back to all source systems, minimizing engineering complexity and overheads. The platform offers transparency, allowing users to query unified data with clear reasoning for each profile merge or relationship mapping, and adjust parameters to align with specific business needs. It integrates with systems like Salesforce, Hubspot, and Snowflake via a GraphQL API or prebuilt connectors, ensuring data is cleansed, normalized, and enriched before ingestion.
