DeepTuned develops an AI platform that transforms static enterprise content into interactive formats, including video. The company also builds custom Retrieval-Augmented Generation (RAG) solutions utilizing knowledge graphs. They offer strategic consulting and support for establishing scalable AI Research and Development centers.
Funding
Funding not disclosed
Founders
Product
Problem
Many enterprises struggle to transform static content into engaging and interactive formats, leading to decreased knowledge retention and operational inefficiencies. Building and maintaining custom AI solutions, such as knowledge graph-based Retrieval Augmented Generation (RAG) systems, requires specialized expertise and resources that are often lacking internally.
Solution
This platform leverages AI to convert static enterprise content into interactive formats, including videos, thereby enhancing engagement and knowledge retention. It also provides custom knowledge graph-based RAG solutions tailored to specific business needs, enabling more effective information retrieval and decision-making. Furthermore, the company offers strategic consulting services to assist businesses in developing scalable AI research and development capabilities, fostering innovation and improving overall operational efficiency.
Target Audience
The primary target audience includes enterprises seeking to improve knowledge management, enhance operational efficiency through AI, and develop internal AI capabilities.
Features
- AI-powered content transformation into interactive formats, including video generation.
- Custom knowledge graph-based RAG solutions for enhanced information retrieval.
- Strategic consulting services for building scalable AI R&D centers.
- Technology due diligence to assess the feasibility and potential of AI initiatives.