Tilores Studio desktop entity resolution

Tilores Studio is a desktop application designed for entity resolution, enabling users to consolidate disparate and conflicting data records into a single, unified view. This tool is particularly beneficial for fraud detection, compliance, Customer 360 initiatives, and AI teams who require a consistent and accurate data foundation. The application runs entirely on the user's local machine, eliminating the need for cloud uploads and signups, which is crucial for organizations with strict data privacy requirements. The problem Tilores Studio addresses is the common challenge of fragmented and inconsistent data. In many organizations, customer, company, and transaction data is scattered across multiple systems, leading to duplicates, conflicts, and an incomplete understanding of entities. This fragmentation hinders effective decision-making, increases operational costs, and compromises the accuracy of analytics and AI models. Traditional enterprise solutions often require extensive data sharing with third-party clouds, which is a significant barrier for regulated industries like finance and healthcare. Tilores Studio offers a real-time matching engine that operates locally. Users can load their CSV data directly into the application and resolve duplicates live, with no data leaving their laptop. This ensures data security and compliance. The application comes with pre-configured use cases for matching people and companies, along with sample datasets to facilitate immediate use. It also provides a golden-record view and an entity graph for visualizing relationships between resolved entities. A key feature is the integration with AI assistants through a local MCP server. This allows tools like Claude Code and Codex to directly search, import, and steer Studio against the user's local data. This capability is invaluable for building agentic workflows that require a reliable, resolved entity layer for querying and analysis. The GraphQL API, identical to the cloud product, ensures a seamless transition if users eventually need to scale to a cloud-based solution. The product supports multiple operating systems, including macOS, Windows, and Linux, making it accessible to a wide range of users. For users who exceed the free tier, there are options for production deployments, including cloud-hosted solutions on AWS and on-premise deployments via containers, provided the customer can manage the DevOps aspects. The company also offers customization options for matching rules, with a visual editor available in their SaaS solution and planned for future Studio releases. Tilores Studio operates by employing a real-time matching engine that processes data locally. It utilizes optimized fixed rule sets for its built-in use cases (person and company matching). While these rules provide a good starting point, the company typically fine-tunes the matching process during onboarding or evaluation periods to meet specific customer needs. The local MCP server enables concurrent data access for various tools, ensuring that data-related operations are safe even when multiple clients are interacting with the data simultaneously. The benefits for users include enhanced data accuracy, improved operational efficiency, and strengthened data privacy. By providing a single source of truth, Tilores Studio empowers teams to make better-informed decisions, reduce the risk of errors, and streamline compliance and fraud detection processes. The local execution model removes significant procurement blockers for regulated industries. Concrete use cases include financial institutions needing to consolidate customer data for KYC and AML compliance, healthcare providers aiming to create a unified patient record for better care coordination, and e-commerce businesses seeking to deduplicate customer profiles for targeted marketing and improved customer service. The integration with AI assistants also opens up new possibilities for automated data analysis and entity exploration. Tilores Studio is available for macOS, Windows, and Linux. It offers a free tier for up to 100,000 records. For larger datasets or production environments, cloud-hosted (AWS) and on-premise deployment options are available. The product is built with technologies that support its real-time matching engine and GraphQL API, enabling seamless integration and scalability. In summary, Tilores Studio democratizes entity resolution by offering a powerful, privacy-preserving desktop application that provides a single, trusted view of data, empowering teams to work with accurate information without compromising security.