The majority of companies struggle to derive value from their data. Several years ago, Forrester reported that between 60% and 73% of data belongs to the average business it remains unused for analytics. This is because the data is suppressed or otherwise masked for technical and security reasons, making it difficult—if not impossible—to apply analytical tools.
Anna Pojawis and Tyler Maran, engineers who previously held stints at startups Hightouch (a data synchronization platform) and Fair Square (a health insurance tool), were inspired to try their hand at solving the data value problem after discovering that Many companies were “locked out” of analytics strategies due to engineering roadblocks.
“We’ve found that a significant portion of the market, especially those in regulated industries like healthcare and finance,” has struggled with data analytics, Maran told TechCrunch. “The majority of corporate data does not fit in a database today. it’s sales calls, documents, Slack messages and so on. And given the scale of these companies, off-the-shelf data models are usually not sufficient.”
So Pojawis and Maran founded OmniAIa set of tools that transform unstructured enterprise data into something that data analytics applications and artificial intelligence can understand.
OmniAI syncs with a company’s data warehousing services and databases (e.g. Snowflake, MongoDB, etc.), prepares the data in, and allows companies to run the model of their choice — for example, a model of large language — to the data. OmniAI runs all of its work in the company’s cloud, OmniAI’s private cloud, or on-premises environments, seemingly providing improved security, according to Maran.
“We believe that large language models will become essential to a company’s infrastructure over the next decade, and hosting everything in one place makes sense,” Maran said.
Out of the box, OmniAI offers integrations with models such as Meta’s Llama 3, Anthropic’s Claude, Mistral’s Mistral Large, and Amazon’s AWS Titan for use cases such as automatically processing sensitive information from data and building AI-powered applications in general . Customers sign a software-as-a-service agreement with OmniAI to enable management of models in their infrastructure.
It is early. But Omni, which recently closed a $3.2 million round led by FundersClub at a $30 million valuation, claims it already has 10 customers, including Klaviyo and Carrefour. Annual recurring revenue is on track to reach $1 million by 2025, Maran said.
“We’re an incredibly lean team in a fast-growing industry,” Maran said. “Our bet is that, over time, companies will choose to run models alongside their existing infrastructure, and model providers will focus more on licensing model weights to existing cloud providers.”
