Tilores Studio is a desktop application designed for entity resolution, enabling users to link duplicate and conflicting records scattered across their systems into one unified, resolved record. This product is intended for individuals and teams who require a trusted view of their data without relying on cloud-based solutions. Its primary purpose is to provide accurate and consistent data for various applications, including fraud detection, compliance, Customer 360 initiatives, and AI-driven insights.
Historically, entity resolution has been a complex and often inaccessible process, typically requiring enterprise-level software with lengthy sales cycles and significant upfront investment. This created a barrier for many organizations, particularly those with strict data privacy requirements or limited budgets, who could not easily share their sensitive data with third-party cloud services for evaluation. Tilores Studio addresses this problem by bringing the same powerful real-time matching engine used in their cloud product directly to the user's local machine.
Key features of Tilores Studio include its on-machine processing, which means no data leaves the user's laptop, offering a secure and private environment for data resolution. Users can load their CSV files and observe duplicates being resolved in real-time, providing immediate feedback and insights. The application comes with pre-configured use cases for matching people and companies, along with sample datasets to facilitate quick setup and testing. It also offers a golden-record view, presenting a consolidated and accurate representation of each entity, and an entity graph to visualize relationships between resolved entities.
Furthermore, Tilores Studio integrates with AI assistants through a local MCP server. This allows tools like Claude Code and Codex to search, import, and steer Studio against the user's local data. This capability is particularly useful for building agentic workflows that require a reliable entity layer for querying and analysis. The product also includes a GraphQL API, consistent with the cloud product, ensuring a seamless transition if users decide to scale to the cloud version later.
Tilores Studio operates on a principle of local-first processing. By running the entire entity resolution engine on the user's machine, it eliminates the need for cloud infrastructure and sign-ups, making it immediately accessible. This approach not only enhances data security but also simplifies the user experience, allowing for direct interaction with local data files.
The benefits for users include enhanced data accuracy and consistency, improved operational efficiency for teams working with data, and greater confidence in data-driven decision-making. By resolving duplicates and conflicts, users can reduce errors, streamline processes, and unlock the full potential of their data for analytics and AI applications.
Concrete use cases for Tilores Studio include cleaning customer databases for more effective marketing campaigns, identifying duplicate transactions for fraud detection, ensuring compliance by having a single source of truth for entities, and preparing data for machine learning models by removing redundancies. It's also valuable for researchers needing to consolidate information from various sources without uploading sensitive data.
Tilores Studio is available for macOS, Windows, and Linux. It offers a free tier for up to 100,000 records, making it accessible for testing and small-scale projects. For larger datasets or enterprise needs, on-premise or cloud-hosted solutions are available, which can be deployed on customer-managed cloud environments. The product is built with technologies that support robust data processing and API integration.
In summary, Tilores Studio democratizes entity resolution by providing a powerful, private, and accessible desktop solution that empowers users to achieve a single, trusted view of their data directly on their own machines.