We're a team of former Google and Tesla engineers, educated at Caltech and UCLA, building real-time video and artificial intelligence solutions for embedded devices. We've worked in IoT, robotics, and manufacturing, and we're always looking for new problems to solve.

Chris Hiszpanski

Chris holds MSEE and BSEE degrees from Caltech and enjoys building elegant solutions to make the world better. At Kuna, he created a computer vision platform for an IoT camera network, and he holds a patent in smart light camera technology. Most recently, Chris built distributed machine learning vision systems at Tesla.

Chris believes software should be fault tolerant, scalable, secure, and simple. He enjoys working on open source projects and has contributed to the AWS Go SDK, Buildbot, Caffe, and rsyslog, amongst others.

Jordan Carlson

Jordan completed his BS in Physics at Caltech and holds an MA in physics from UC Berkeley, and he is driven to understand things at their most fundamental level. He was previously a senior software engineer at Google, where he helped build out a platform for testing mobile apps on real devices.

A firm adherent to Occam’s razor, Jordan strives for minimalism and elegance in the software systems he develops. He always sleeps best after a day spent writing clean, efficient code.

Nicole Gear         

Nicole has a BS from the University of Florida and is an MBA candidate at UCLA Anderson. She has product, finance, and marketing experience at Silicon Valley startups in the content/video delivery and IoT spaces.

Most recently, she worked on a cloud-based transcoding platform that was acquired by a Fortune 500 media company.

If she’s not obsessing over user experience or brainstorming new features, you can find her at the beach or in the mountains.