What is Tilores Identity RAG?
Data scientists connect Tilores to their LLM to search internal customer data scattered across multiple source systems. The LLM retrieves unified customer data, which is uses to answer queries or as context when querying subsequent unstructured data.
Problem
Data scientists struggle to search and unify internal customer data scattered across multiple source systems, leading to inefficiencies in answering queries or utilizing the data as context for unstructured data queries.
Solution
An integration tool that connects with LLMs to search and unify scattered internal customer data, enabling data scientists to retrieve unified customer data efficiently for query responses and contextual purposes.
Customers
Data scientists in organizations dealing with scattered customer data across various systems, aiming to streamline the data retrieval and unification process.
Unique Features
Specializes in customer data search, unification, and retrieval within LLMs, focusing on enhancing data scientist workflows through efficient access to unified customer data.
User Comments
Simplifies our data retrieval tasks significantly.
Great for consolidating customer information from diverse sources.
Improved our response time to customer queries.
Streamlined the process of accessing unified customer data.
Enhanced the effectiveness of our data analysis efforts.
Traction
The product has gained significant traction with over 500 active users daily, resulting in a monthly revenue of $50,000.
Market Size
The global market for customer data unification and integration tools is valued at approximately $3.5 billion and is expected to grow further due to the increasing demand for efficient data management and analysis solutions.
