Exaforce, a cybersecurity startup has raised $75 million in Series A funding round led by Khosla Ventures, Mayfield, and Thomvest Ventures.
The funds raised will be used to develop its Agentic SOC Platform that combines AI agents (called “Exabots”) with advanced data exploration to give enterprises a tenfold reduction in human-led SOC work, while dramatically improving security outcomes.
“Our vision is to empower SOC teams with an intelligent platform that allows humans to collaborate seamlessly with AI agents—integrating precise human oversight with advanced automation. By harnessing Exabots alongside advanced data exploration, we reduce false positives and eliminate tedious busywork—all while giving humans the flexibility to choose where they want to be hands-on. This approach has already delivered 10x improvements to our design partners. Our design partners have already seen tenfold improvements using this approach,” said Ankur Singla, co-founder and CEO of Exaforce.
“At Mayfield, we invest in founders first and foremost, which is why we backed Exaforce at the ideation stage in our third collaboration with Ankur Singla. What excites us is how Exaforce is reimagining the massive opportunity of developing AI teammates to offload complex tasks that help humans increase productivity and efficacy, and they are starting with the SOC market where the problems of skills and talent are acute. The team’s progress since those initial whiteboard sessions—securing a dozen enterprise design partners, and delivering 10x improvements in SOC efficiency—validates our early conviction that Exaforce is building something revolutionary in the collaborative intelligence era,” said Navin Chaddha, Managing Partner at Mayfield.
Founded in 2024 by Ankur Singla, Devesh Mittal, Ariful Huq, Marco Rodrigues and Czech Jakub Pavlik, Exaforce has developed a multi-model AI for solving challenges in security and operations. It blends large language models (LLMs) with semantic and behavioral models into a powerful AI engine that unlocks unprecedented accuracy, repeatability, and productivity for the SOC.
The company has been collaborating with over 10 leading enterprises across technology, AI software, energy, and manufacturing markets to refine this multi-model approach, and delivering significant gains to their SOC teams in the process.
