OmniAI Transforms Unstructured Data for AI-Powered Business Insights

The majority of companies struggle to extract value from their data. Several years ago, Forrester reported that between 60% and 73% of data belonging to the average business goes unused for analytics. This is primarily because the data is siloed or pigeonholed by technical and security considerations, making it difficult — if not impossible — to apply analytical tools.

Founders Inspired to Solve Data Challenges

Anna Pojawis and Tyler Maran, engineers with experience at Y Combinator-backed startups Hightouch and Fair Square, recognized this widespread issue. They discovered that many companies were “locked out” of analytics strategies due to engineering roadblocks.

“We’ve found that a significant part of the market, especially those in regulated industries like healthcare and finance, have struggled with data analytics,” said Maran. “The majority of corporate data doesn’t fit into 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 typically not sufficient.”

The Birth of OmniAI

To address these challenges, Pojawis and Maran founded OmniAI, a set of tools designed to transform unstructured enterprise data into formats that data analytics apps and AI can understand. OmniAI syncs with a company’s data storage services and databases, such as Snowflake and MongoDB, to prepare the data for analysis.

How OmniAI Works

OmniAI allows companies to run the model of their choice on their data, whether it’s in the company’s cloud, OmniAI’s private cloud, or on-premises environments. This ensures improved security and flexibility.

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

Integrations with Leading AI Models

Out of the box, OmniAI offers integrations with models including Meta’s Llama 3, Anthropic’s Claude, Mistral’s Mistral Large, and Amazon’s AWS Titan. These models can be used for tasks like automatically redacting sensitive information from data and building AI-powered applications.

Early Success and Future Prospects

Although it’s early days, OmniAI has already secured 10 customers, including notable names like Klaviyo and Carrefour. The company recently closed a $3.2 million seed round led by FundersClub at a $30 million valuation. OmniAI’s annual recurring revenue is on track to reach $1 million by 2025.

A Unified API Experience

OmniAI offers teams a unified API experience for building AI applications. The platform runs entirely within the existing infrastructure, providing scalable managed infrastructure within a virtual private cloud (VPC).

Advanced Tools for Top Use Cases

OmniAI’s tools are battle-tested for top use cases, including summarization, sentiment analysis, classification, and extraction, ensuring data is returned in a structured format.

Enhanced Security and Privacy

OmniAI provides robust security features, including private cloud options, custom SSO, detailed audit logs, SOC 2 Type II certification, and role-based access control. This ensures the highest level of privacy and security for sensitive information.