Most companies struggle to extract value from their data. A few years ago, Forrester reported that 60% to 73% of the data belonging to the average enterprise is not used for analytics. This is because the data is isolated or classified due to technical and security considerations, making it difficult, if not impossible, to apply analytical tools.
Engineers Anna Pojawi and Tyler Maran, who previously worked at Y Combinator-backed startups Hightouch (a data synchronization platform) and Fair Square (a health insurance tool), were inspired to work on solving the data value problem after discovering the following: I received it. Engineering hurdles have ‘limited’ many companies’ analytics strategies.
“We found that a significant portion of the market, especially those in regulated industries such as healthcare and finance, were struggling with data analytics,” Maran told TechCrunch. “Most of today's corporate data does not fit into databases. Sales calls, documents, Slack messages, etc. And given the size of these companies, off-the-shelf data models are typically not sufficient.”
So Pojawis and Maran founded OmniAI, a set of tools that transform unstructured enterprise data into data that data analytics apps and AI can understand.
OmniAI synchronizes with a company's data storage services and databases (e.g. Snowflake, MongoDB, etc.) to prepare internal data and allow the company to run models of its choice (e.g. large-scale language models) on the data. According to Maran, OmniAI ostensibly offers improved security by doing all of its work in the company's cloud, OmniAI's private cloud, or in an on-premises environment.
“We believe that large-scale language models will be essential to companies’ infrastructure over the next decade, and it makes sense to host everything in one place,” Maran said.
Out of the box, OmniAI provides integrations with models including Meta's Llama 3, Anthropic's Claude, Mistral's Mistral Large, and Amazon's AWS Titan to automatically redact sensitive information from data and generally build AI-based applications, and more. Provides use cases. Customers can sign a software-as-a-service agreement with OmniAI to manage their models on their infrastructure.
It's early days. But Omni, which recently closed a $3.2 million seed round led by FundersClub at a valuation of $30 million, claims to already have 10 customers, including Klaviyo and Carrefour. Maran said annual recurring revenue will reach $1 million by 2025.
“We are an incredibly small team in a fast-growing industry,” Maran said. “Over time, enterprises will choose to run models alongside their existing infrastructure, and model providers will focus more on weighting their licensing models toward existing cloud providers.”
