
Your cameras are blind. Our AI Agents give them vision. We're putting extra eyes and hands to work across manufacturing floors, retail spaces, schools, and hospitals - automating real-time actions…

Your cameras are blind. Our AI Agents give them vision. We're putting extra eyes and hands to work across manufacturing floors, retail spaces, schools, and hospitals - automating real-time actions…
Founded: 2018
HQ: San Francisco, CA
Product: Hybrid cloud NVR + AI video intelligence for existing IP cameras
Customers / Scale: 1,000+ enterprise deployments; processed 1B+ hours of video (company claims)
Known funding: $62M reported through Nov 2022; company-reported total funding $93M
Video intelligence for enterprise security, safety, and operations
2018
Software Development
2000000
Seed disclosed as $2M in company reporting around Oct 2021
20000000
Company disclosed $20M Series A
40000000
Company announced $40M round
“Includes participation from Redpoint Ventures, Bessemer Venture Partners, Scale Venture Partners, StepStone Group, Modern/Venture Partners (MVP), and Qualcomm Ventures”
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Who We Are. At Spot AI, we’re building the future of intelligent operations, powered by the untapped potential of video. We started by transforming traditional video surveillance and today, we’re using cameras and AI Agents to automate human tasks across the physical world.
Our leading-edge platform helps mid-market and enterprise businesses improve safety, security, and operational efficiency by turning video into actionable insights. From reducing downtime on manufacturing lines, to automating SOP checks at car washes, to enabling real-time monitoring across construction sites and mobile surveillance units, Spot AI gives organizations a smarter way to run their operations and drive better outcomes.
We’re currently deployed across 10,000+ locations and trusted by some of the largest names in manufacturing, construction, logistics, and retail. Backed by nearly $100 million in investment from Redpoint, Scale Venture Partners, Bessemer, StepStone, and Qualcomm, our vision is bold: to become the intelligence layer for every camera in the physical world.
Ready to learn more? Connect with us on LinkedIn | X | YouTube
We’re looking for like-minded builders. We are an extremely passionate and ambitious team building a company designed to outlast our lifetime.
No matter the role or level, Spotans (our team members) share a common DNA, and we’re looking for more teammates who share the same high-performance mindset:
Our cultural pillars guide how we operate. We:
Who You Are. You are a technically sharp, customer-obsessed engineer who thrives at the intersection of product, engineering, and real-world problem solving. You absolutely love talking to customers and are comfortable building product features on day one, refining an AI assistant the next, and presenting results to customers the day after that. You bring a methodical approach to ambiguous problems and have a bias toward shipping solutions that work in practice, not just in theory.
You care deeply about customer outcomes and see technology as a means to an end, helping businesses run safer, more efficient operations. You are truly excited about AI stepping to the physical world, and solving hard industrial problems using multi-modal AI anchored in vision.
You communicate clearly with both technical and non-technical stakeholders, and you’re energized by direct customer interaction. You’re early in your career but already demonstrate strong judgment about when to push for technical elegance and when good enough is the right call.
What You’ll Do.
What Excites You.
What Gets Our Attention.
What’s In It For You:
Come build the future of Video Intelligence with us! We are creating and cultivating a diverse and inclusive culture where we celebrate individuals for what they accomplish, no matter who they are! As an equal opportunity employer, we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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