Web Analytics

3 Latest Announced Rounds

  • $10,600,000
    Pre-Seed

    5 Investors

    Technology, Information and Internet
    Jun 6th, 2025
  • $13,702,071
    Series A

    3 Investors

    Insurance
    Jun 6th, 2025
  • $15,000,000
    Unknown

    1 Investors

    Biotechnology Research
    Jun 6th, 2025
$863.23M Raised in 46 Funding Rounds in the past 7 Days - View All

Funding Round Profile

Sema4.ai

start up
United States - Atlanta, Georgia
  • 05/06/2025
  • Series A
  • $25,000,000

Sema4.ai is pioneering the future of knowledge work through enterprise-ready AI agents, the next generation of business applications that autonomously perform complex tasks with unprecedented accuracy and efficiency.

Founded by experts from Microsoft, AWS, VMWare, Cloudera, and Robocorp, Sema4.ai's enterprise AI agents connect context to action, transforming collaboration between people and AI. Sema4.ai’s platform enables enterprises to seamlessly build, run, and manage AI agents that understand context, reason, act, and collaborate, forever changing how work gets done.

Sema4.ai believes enterprise AI agents are the “killer app” of the AI era—revolutionizing knowledge work, automating high-value tasks, and allowing employees to focus on strategic initiatives. The agents are designed to enhance human potential, driving operational efficiency, innovation, and significant cost savings for businesses worldwide. This is where the promise of AI meets the potential of people


Related People

Ram VenkateshCo Founder

Ram Venkatesh United States - San Jose, California

I am a systems guy, deeply interested in all aspects of creating mission critical enterprise software for analyzing and managing vast amounts of data.

I have spent much of the last decade on open source big data platforms both on-premise and in the public clouds. It has been a privilege to help shape the big data revolution where petabyte scale data processing and management is now well within the grasp of most enterprises.

But that is in the past. Our customers only want to increase the velocity with which they realize value from their data in their quest to be more data driven. I am excited by the applicability of disruptive modern data architectures such as lakehouse, data fabric and data mesh.

The pendulum will continue to swing between centralization through data lakes and lake houses and the impending decentralization with data mesh. To paraphrase Stonebraker, in data models and in life change is the only constant, the trick is to have fun along the way and make every journey count.