What if AI Teammates could speed up tasks by 10x for Security operations teams? Exaforce Inc. promises that, and today, it’s launching with $75 million in Series A funding to make it a reality.
Exaforce Inc. is pioneering a first-of-its-kind multi-model AI engine that’s a game-changer for SOCs. Agentic solutions that rely solely on large language models (LLMs) can only review a fraction of that data at once, resulting in incomplete problem analysis and reasoning that is unreliable and hallucination-prone. Unlike RAG frameworks, Exaforce’s engine uses a semantic data layer upfront, followed by behavioral and knowledge models. This architecture eliminates the blind spots that plague other AI solutions by synthesizing the right data to provide comprehensive context and accurate reasoning for AI agents and human analysts.
This technology is tackling the biggest challenges facing SOCs: alert overload, manual workflows, and talent shortages. Exaforce agents automate tedious tasks, allowing security analysts to focus on what matters most—proactive threat hunting and strategic response.
I’m incredibly excited to support Ankur Singla and his team as they redefine security and operations with Agentic AI. At Mayfield, we invest in founders first and foremost, so 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. 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.
This is not your typical AI solution. Want to see how Exaforce’s unique multi-model AI is revolutionizing security operations? Watch our discussion.
