Spot AI is pioneering the transformation from traditional video surveillance to intelligent video AI agents that can monitor, analyze, and respond to events in the physical world. With $93 million in funding, the company has evolved from providing simple camera management to building AI security guards and operational agents that can process hundreds of video feeds simultaneously, take autonomous actions, and augment human workers in manufacturing, retail, and security roles. In this episode of Category Visionaries, I sat down with Sudarshan Bhatija, Co-Founder and COO of Spot AI, to explore the company's journey from video surveillance to video AI agents and their vision for physical AI.

Topics Discussed:

• Spot AI's evolution from video surveillance to video intelligence to video AI agents
• The shift from IT-focused security tools to operations-wide business applications
• How AI agents can monitor hundreds of camera feeds and take autonomous actions
• The role of customer feedback in driving product development and market expansion
• Marketing philosophy focused on authenticity and customer outcomes
• Building high-performing marketing teams based on capability over experience
• The future of physical AI and AI agents with "eyes, hands, and legs"

GTM Lessons For B2B Founders:

• Capture existing demand and redirect to your category: Spot AI initially targeted customers searching for "video surveillance" but converted them by demonstrating superior value in video intelligence and operational insights. Sudarshan explained that customers "are still married to the old category and starts looking for that, but the subset of customers that wants more" responds to messaging around deeper insights and operational outcomes. B2B founders should identify customers searching for legacy solutions who are actually underserved by existing categories and ready for innovation.
• Let customer demand pull you upmarket and into new use cases: Rather than forcing expansion, Spot AI allowed existing customers to drive their evolution into higher-value AI agent applications. Sudarshan noted, "customers proactively pulling us into higher value use cases, pulling us up market, and basically the demand has already been created and we've been responding to that." B2B founders should build strong customer listening mechanisms and let proven demand from existing customers guide product development and market expansion.
• Build an early organic acquisition engine around category transition: Spot AI captured significant early growth by ranking for legacy category searches while converting visitors with next-generation messaging. They "built an organic strategy on Google to be able to acquire a lot of these leads" searching for video surveillance but presented solutions for video intelligence. B2B founders in evolving categories should dominate SEO for legacy terms while using landing pages and demos to educate prospects about superior alternatives.
• Hire marketing talent based on "can do" over "has done": Sudarshan emphasized that marketing success comes from "the ability to learn really fast and are deeply, you know, take strong ownership of their outcomes" rather than just experience. He found that "people who have the right bent of mind, the marketing bent of mind, but just have really high horsepower" outperform resume-based hires. B2B founders should prioritize intellectual curiosity, ownership mentality, and learning velocity when building marketing teams.
• Develop authentic, customer-centric marketing that speaks human-to-human: Spot AI's marketing philosophy centers on "focusing all our efforts on high value customer outcomes" and "authenticity" rather than "manicured" corporate messaging. Sudarshan noted that even in B2B, "you're selling to a business, but you're actually selling to a person." B2B founders should embrace authentic, conversational marketing that addresses real customer problems rather than polished but generic corporate communications.