
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 that drive safety, operations, and security outcomes. Already processing more video daily than YouTube, with 1B+ hours of data and 1,000+ enterprise deployments. Built by R&D veterans from Cisco Meraki and Samsara, backed by $93M from top-tier VCs. See what your cameras have been missing at Spot AI. Learn more at https://www.spot.ai.

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 that drive safety, operations, and security outcomes. Already processing more video daily than YouTube, with 1B+ hours of data and 1,000+ enterprise deployments. Built by R&D veterans from Cisco Meraki and Samsara, backed by $93M from top-tier VCs. See what your cameras have been missing at Spot AI. Learn more at https://www.spot.ai.
Product: AI-powered camera system and Video AI Agents that analyze video and automate actions for safety, security, and operations
Scale: Claims 1,000+ enterprise deployments and processing over 1 billion hours of video data
Funding: Total disclosed funding around $93M (multiple rounds including a $40M Series B)
Founding: Founded in 2018 by Tanuj Thapliyal, Rish Gupta, and Sud Bhatija
| Company |
|---|
Video intelligence for safety, security, and operations
2018
Software Development
40000000
November 2022 Series B reported at $40M
22000000
Disclosed prior funding bringing company total before 2022 round to about $62M (includes a 2021 raise reported as $22M)
31000000
October 2024 equity round reported at roughly $31M contributing to company-reported total near $93M
Who We Are. At Spot AI, we’re building the future of intelligent operations, powered by the untapped potential of video. While we started with revolutionizing video surveillance, today we’re at the forefront of using cameras as sensors and AI Agents to automate human tasks across the physical world.
Our leading edge platform and award winning technology helps mid-market and enterprise businesses improve safety, security and operational efficiency by transforming video footage into actionable insights. From reducing downtime on manufacturing lines, to automating SOP checks at car washes, to scaling real-time monitoring across construction sites and mobile surveillance units, we give organizations a smarter way to run their operations and drive better business outcomes.
We are currently deployed across 10,000+ locations, serving some of the largest names in manufacturing, construction, logistics and retail. Whether through easy-to-build custom AI Agents that detect risks before they happen, or integrations with central monitoring centers to reduce false alarms, our vision is bold: to become the intelligence layer for every camera in the physical world.
Our exceptionally talented team has created a high growth trajectory that has attracted almost $100 million in investment from top venture firms, including Redpoint, Scale Venture Partners, Bessemer, StepStone and Qualcomm.
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’re a seasoned video systems engineer who thrives on building complex, high-performance systems. You’ve spent the past 7+ years honing your craft in professional software engineering environments, and at least 3 of those have been focused on building or optimizing video pipelines using tools like GStreamer or FFmpeg . You’re comfortable with writing Rust code and bonus points if you’ve built gstreamer pipelines in Rust.
You love to experiment, iterate, and get things working in the wild. You understand the full flow of video data—from ingestion and decoding, to compression and streaming—and you know how to tune performance in resource-constrained environments like edge devices.
You have:
And you’d describe yourself as:
What you’ll do: This role is all about impact and ownership. You'll take the lead on evolving our edge-based video processing stack—starting with projects that will immediately improve latency, reliability, and video quality for thousands of customers across real-world environments.
In this role, you’ll:
You’ll have real ownership and autonomy from Day 1—and you’ll be building the systems that make Spot AI the most reliable and intelligent video platform in the world.
What Excites You.
Compensation And Benefits.
Come build the future of Video AI 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.