An AI-driven experience management platform for enterprises to collect multi-channel feedback, analyze structured and unstructured data, and deliver actionable insights.
Tilores

About Tilores
Tilores is an innovative API solution designed to unify scattered customer data in real-time, revolutionizing how data-driven companies manage and utilize their customer information. Tilores offers a comprehensive suite of tools to create a unified customer view across various source systems, enabling businesses to manage risks, detect fraud, and deliver personalized digital experiences without the complexity of extensive engineering. This tool is specifically tailored for companies looking to streamline their data management processes and enhance their decision-making capabilities by providing a centralized, yet distributed, source of truth for customer data. Tilores provides a range of features, including a Customer 360° View, real-time data unification, risk and fraud management, and retrieval-augmented generation. These features enable businesses to transform disparate and siloed customer data into a cohesive view, synchronizing complete profiles across departments for improved service delivery. The tool also offers automated syncing, transparency, and scalability, making it an essential tool for companies looking to streamline their data management and enhance their decision-making capabilities.
Key features
- Customer 360° View
- Real-Time Data Unification
- Risk and Fraud Management
- Retrieval-Augmented Generation (RAG)
- Automated Syncing
- Transparency
- Scalability
Use cases
- Financial Institutions for efficient credit risk assessment and fraud prevention
- Retail Businesses for enhancing customer experience through personalized digital interactions
- Insurance Companies for accurate customer profiling and risk management
Pros
- Provides real-time entity resolution to unify duplicate and conflicting customer records across disparate systems
- Offers a centralized, traceable source of truth for customer data used by fraud, compliance, and AI teams
- Supports infrastructure-agnostic deployment, running in the cloud, data center, or locally via Tilores Studio
- Includes built-in fuzzy matching algorithms and normalization tools for accurate record linkage
- Delivers GraphQL API responses with millisecond-level query performance for resolved entities
Cons
- May require initial setup and configuration to align with existing data schemas and business rules
- Complexity in defining match rules and thresholds could impact resolution accuracy without proper tuning
Frequently asked questions about Tilores
What does Tilores do?
Tilores provides real-time entity resolution to link duplicate and conflicting customer records scattered across multiple systems into a single resolved record, ensuring teams work from a unified source of truth.
Who is Tilores designed for?
Tilores is tailored for businesses needing to unify customer data for fraud detection, compliance, Customer 360, AI applications, and master data management across industries like financial services, insurance, and e-commerce.
How does Tilores handle data unification?
It uses fuzzy matching algorithms and rules to compare and resolve records, selecting the best value per field across linked sources while maintaining traceability back to the original records.
Can Tilores run locally?
Yes, Tilores Studio allows users to run entity resolution locally on their machine with support for up to 100,000 records, free of charge and without requiring signup.
What integrations does Tilores support?
Tilores is infrastructure-agnostic and can run in your cloud, data center, or laptop, with a GraphQL API enabling seamless integration with existing systems and workflows.
How do I get started with Tilores?
Users can try Tilores Studio for free, book a demo, or explore pricing options to deploy Tilores in their preferred environment for immediate use.
Tilores Website Engagement
Last Update: 9 days ago
Monthly Traffic
Traffic Sources
Traffic Share By Country
- United States31.6%
- India19.6%
- Germany13%
- Brazil12%
- Indonesia11.3%