Last year, I shared some details about the vision for Airloom AI - helping real-world businesses succeed by gathering and acting on the intelligence captured (but inaccessible) in their existing security camera video to risk and costs, and protect profits, employees, and customers. That’s still our vision, and we’ve made a ton of progress moving towards it by talking to customers across many verticals, building, and refining our plans for how we’ll enter the market (soon) and drive distribution.
Over the last few months, we’ve been building Airloom’s initial product via a very successful partnership with Griptape, a fantastic platform to build AI products on. That partnership was the perfect way to get a POC up and running, gather early customer feedback, do some technical de-risking, and transition to building a production-ready product. The time has come to build Airloom’s in-house engineering team (who will continue building on Griptape). I’m ecstatic to announce that Emily Danielson and William Price are joining Airloom AI full-time!
Emily joins as CTO and Founding Engineer. Emily wrote the first lines of Airloom code at Griptape. I’ve been working with her closely for months and have known her for years, and can’t think of a better partner to build a company with. Emily has over a decade of experience advancing computer vision through simulation and real-world system integration. She’s built high-fidelity simulation platforms for training and testing autonomous systems, enabling safe and scalable development of perception models for robotics, autonomous vehicles, and complex camera-based systems. Like me, Emily has “working backwards” in her bones from her years at Amazon -understanding what customers need and innovating based on that feedback. We both strive to be high integrity leaders and build a culture that is honest, open, truth-seeking, and executes ferociously towards a super-focused product vision.
William Price is joining Airloom as Software Engineer. William began working on Airloom more recently. He has already supercharged development of user-facing features and gains insights daily on how we get the best out of video and multi-modal foundation models so we don’t have to do extensive fine-tuning or build models ourselves.
On the product side, the only major change to the vision and strategy I crafted last year is the decision to enter the market with Airloom Video Search. This product allows any business with existing security cameras to search their camera footage using natural language. You might be surprised to learn that businesses with hundreds of cameras and whole surveillance teams can’t do this today - I was! We’re giving any business the ability to search their video without needing to buy or install new cameras or hardware, or purchase expensive video management systems.
We’re obsessing over making Airloom super simple to get up and running, inexpensive, and scalable across a wide range of use cases - as opposed to most security camera software that is focused on simple motion detection and person/vehicle recognition. We think this is a winning strategy. We just need to execute on it and do it better than anyone else.
We’ve recently brought on a handful of design partners in the restaurant and fitness verticals to help us make refinements to the product before we launch. Design partner zero is allister (pictured above), an elegant restaurant in downtown Mercer Island (near Seattle) serving new American cuisine and classic craft cocktails. My wife Sara and I own allister, but Sara is the dynamo who created the restaurant and operates it as General Manager. Our restaurant is what inspired me to create Airloom AI, and my daily source of customer anecdotes from Sara and my own observations.
We’ll share more updates as we gather learnings from our other design partners, add more members to the team, and get Airloom into the market. Drop us a line at hello@airloomai.net if you’re a potential customer, partner, or future team member.
go go go!!!