Our focus is on advancing our mission to make the world more productive, creative, and safe. We are shaped by core values of accountability, transparency, and the protection of privacy and civil liberties.
I first met Skydio founders Adam, Abe and Matt in 2014 when I was an operating partner at a16z. The secrets they had learned and earned via their research work in Robotics and Autonomy at M.I.T. had crystalized their product vision and fueled their passion to become the world leader in autonomous drones.
Skydio has announced the upcoming availability of a new autonomous drone platform for enterprise and public sectors, the Skydio X2. Skydio also announced several new software solutions that simplify inspections and situational awareness workflows.
Skydio has raised $100 million in Series C funding led by Next47 with participation from Levitate Capital, NTT DOCOMO Ventures, and existing investors including Andreessen Horowitz, IVP, and Playground.
The Chula Vista Police Department’s new Close Proximity, Low Altitude (CPLA) waiver to enable Beyond Visual Line of Sight (BVLOS) missions in emergency situations. This waiver is the result of months of collaboration on patrol drone operations, ground risk reduction, and policy innovation between the CVPD, the San Diego UAS Integration Pilot Program, and Skydio.
Check here for all the details on what’s new with Skydio 2’s latest software update which includes extended tracking distance, beacon improvements, case landing, and other minor bug fixes and improvements
We here at Skydio have been developing and deploying machine learning systems for years due to their ability to scale and improve with data. However, to date our learning systems have only been used for interpreting information about the world; in this post, we present our first machine learning system for actually acting in the world.
"My hands just shake a lot less when I fly.” That was the response from the young police officer and UAS pilot when I asked him to boil down why the Skydio 2 was different than the other drones he flies at work.
In this post we dive in to the Skydio Autonomy Engine — how the Skydio 2 sees the world and decides how to fly and film — by walking through an example. In this clip, watch how Skydio 2 keeps a cinematic framing of the biker while dodging obstacles at high speeds downhill. To do this, it has to estimate its own motion, build an obstacle map, estimate the biker’s path, and handle the aerodynamics of fast flight, all in real time onboard the drone.
