Sema4.ai raises $25M in funding for its AI agent platform

Sema4.ai, a startup with a platform for building and managing artificial intelligence agents, today disclosed that it has raised $25 million in funding. 

The capital was provided through an extension of a Series A round that the company first announced last January. That original investment was provided by Benchmark and Mayfield Fund. The two venture capital firms also backed Sema4.ai’s latest raise alongside Snowflake Ventures, Rocketship VC, MVP Ventures and Cox Enterprises.

Sema4.ai was launched shortly before the first close of its Series A round. Its founding team comprises Chief Executive Officer Rob Bearden (pictured), who previously held the same role at Cloudera Inc., and three former engineers from the data analytics provider. 

Sema4.ai’s platform enables workers to create AI agents using natural language prompts. Those agents can automate tasks such as extracting key details from lengthy documents. Additionally, they’re capable of interacting with external applications using a set of integrations called Actions.

Business users access Sema4.ai-powered agents through an interface called Work Room. It ensures that employees only receive access to the AI features strictly necessary for their work. A complementary tool, Control Room, allows administrators to monitor AI agent performance. It also promises to ease maintenance tasks such as rolling back faulty software updates.

Against the backdrop of today’s funding news, Sema4.ai made a component of its product called Sema4.ai Team Edition generally available. It integrates the software with Snowflake Inc.’s popular cloud data platform.

According to Sema4.ai, joint customers can deploy AI agents created using its software to Snowflake with one click. Those agents are deployed using the latter company’s Snowpark Container Services offering. The offering enables third-party applications to run on the cloud data platform in the form of software containers. To save time for users, Snowpark Container Services automates the task of configuring containers. 

Sema4.ai also integrates with another component of Snowflake’s platform called Cortex AI. The technology enables workers to query datasets using natural language. Additionally, it provides access to large language models from companies such as Anthropic PBC. 

Sema4.ai envisions customers using Teams Edition for a wide range of tasks. The company says that its AI agents can use records stored in Snowflake to predict future product demand, identify customers at risk of churn and perform related tasks. Sema4.ai doesn’t move the records it analyzes out of Snowflake, which avoids the cybersecurity risks associated with such data movement.

“By combining Snowflake’s powerful Cortex AI tools for analyzing structured and unstructured data with the Sema4.ai platform, customers can rapidly build and deploy agents that execute work across multiple data sources and high-priority applications,” said Bearden. 

Sema4.ai will invest its newly raised capital in growth and product development initiatives. 

Photo: SiliconANGLE

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