What if everyone could get value from every single flight happening on Kittyhawk? Enter Kittyhawk Insights.

There is an old adage amongst pilots: Experience is the best teacher, but learning from other people’s experience is the best way to learn.

Kittyhawk powers a multitude of enterprise drone programs worldwide. We’ve been at this for over 3 years and often get questions from our newer enterprise customers about what “normal” looks like, or if we have any values that they can use to set some commonsense baselines with.

We’ve taken the years of second-by-second anonymized telemetry for DJI and derived insights from them that can help inform your enterprise’s drone policy.

Curious about what constitutes “low” for GPS Satellite reception? How about an average flight time? Or even the prevalence of a specific aircraft? We’ll be covering it all. Real insights, from real data, flown on real missions.

We’ll be releasing new insights throughout the coming months and if there is something you’d be curious to know, drop us a line.

Tune into tomorrow for our first insight!


1. Is Kittyhawk going to be sharing customer specific information?

Kittyhawk customer data is sacred and is not shared with anyone unless specified by the customer. The insights we’ll be sharing are all non-customer identifiable. As we add more and more hardware support to Kittyhawk, we’ll be able to even abstract the hardware layer.

2. Will Kittyhawk be including editorial with the Insights?

We think that open conversations are the best conversations. We’ll be including why we chose the particular metric that we did, how it relates to your operations at scale, and some suggestions on how to optimize it. Nothing will ever be perfect, but that doesn’t mean you can’t make it better.

3. Have you verified this data with Six Sigma, a peer reviewed program, and had it signed off on personally by Sully Sullenberger, Patty Wagstaff and Elon Musk?

We did our best to make sure this data was accurate and precise but it’s possible that something might have sneaked by us. Do you see an egregious mistake? An entirely wrong scale being used? A value off by a factor of 10? Something metric that should be standard? Let us know, we strive to be accurate and precise.