Klu is an AI-powered search engine designed to integrate with your work apps, offering a unified search experience. By connecting to various platforms like Google Drive, Notion, and Gmail, it allows users to search for documents, emails, or notes from one place. The platform’s chat feature enables you to interact with your data in a conversational manner, enhancing productivity by making it easier to find and manage information. Klu aims to revolutionize digital information search, providing relevant results quickly and efficiently.

Embedefy provides a platform for obtaining embeddings easily, allowing users to enhance AI applications. The models are open-source and can be used for tasks like semantic search and anomaly detection. By integrating these embeddings directly into applications, users can improve the accuracy and efficiency of their AI models.

Spark Engine uses advanced AI models to transform text data into high-dimensional vector embeddings, allowing searches to go beyond keyword matching. When a user submits a query, Spark Engine processes it through natural language understanding to capture intent, compares it with indexed document embeddings, and ranks results by semantic similarity. The platform supports filtering, faceting, typo tolerance, and result personalization. With options for customizable relevance weights and analytics dashboards, teams can monitor search performance and refine parameters. Infrastructure is fully managed and horizontally scalable, ensuring low-latency responses under high load. Spark Engine's RESTful API and SDKs for multiple languages make integration straightforward, empowering developers to embed intelligent search into web, mobile, and desktop applications rapidly.