OmniAI transforms business data for AI


Most companies struggle to extract value from their data. Several years ago, Forrester reported that 60% to 73% of data related to the average business is not used for analytics. This is because data is segregated or otherwise classified for technical and security reasons, making it difficult – if not impossible – to apply analytical tools.

Anna Pojavis and Tyler Maran, engineers who previously worked at Y Combinator-backed startups Hightouch (a data-syncing platform) and Fair Squared (a health insurance tool), were inspired to try their hand at solving the data value problem when they realized that many companies were “shut out” of analytics strategies due to engineering hurdles.

“We’ve found that a significant portion of the market, particularly in regulated industries like healthcare and finance, is struggling with data analytics,” Maran told TechCrunch. “The vast majority of corporate data these days doesn’t fit into a database; it’s sales calls, documents, Slack messages, etc. And, given the scale of these companies, off-the-shelf data models are typically not sufficient.”

So Pojavis and Maran founded OmniAI, a set of tools that turn unstructured enterprise data into something that data analytics apps and AI can understand.

Image Credit: OmniAI

OmniAI syncs with a company’s data storage services and databases (e.g., Snowflake, MongoDB, etc.), prepares the data and allows companies to run the model of their choice on the data – for example, a large language model. According to Maran, OmniAI does all of its work in the company’s cloud, OmniAI’s private cloud, or in an on-premises environment, which obviously provides better security.

“We believe that large language models will become essential to a company’s infrastructure over the next decade, and it makes sense to host everything in one place,” Maran said.

Out of the box, OmniAI offers integrations with models, including Meta’s Llama 3, Anthropic’s Cloud, Mistral’s Mistral Large, and Amazon’s AWS Titan, for use cases such as automatically removing sensitive information from data and generally building AI-powered applications. Customers sign a software-as-a-service contract with OmniAI to enable management of the model on its infrastructure.

It’s still early days. But Omni, which recently closed a $3.2 million seed round led by FundersClub at a $30 million valuation, claims it already has 10 customers, including Klaviyo and Carrefour. Maran said annual recurring revenue is on track to reach $1 million by 2025.

“We are an incredibly underutilized team in a rapidly growing industry,” said Maran. “Our anticipation is that over time, companies will increasingly opt for running models alongside their existing infrastructure, and model providers will focus more on licensing model weights to existing cloud providers.”


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