The struggle to extract value from data is a common pain point for many companies, with up to 73% of data going unused for analytics due to technical and security considerations. Engineers Anna Pojawis and Tyler Maran, founders of OmniAI, have set out to solve this problem by creating a set of tools that transform unstructured enterprise data into something that data analytics apps and AI can understand. Their platform, OmniAI, syncs with a company’s data storage services and databases, preps the data, and allows companies to run their choice of model on the data. With integrations with models like Meta’s Llama 3 and Amazon’s AWS Titan, OmniAI aims to enable companies to build AI-powered applications and unlock the hidden value in their data.
OmniAI’s approach is particularly appealing because it addresses the security concerns that often come with data analytics. By performing all its work in the company’s cloud, OmniAI’s private cloud, or on-premises environments, it delivers improved security for companies. As the use of large language models becomes more widespread, OmniAI’s solution could become an essential part of a company’s infrastructure.
