Sift

We are proud to support the MIT Rocket Team. 100 undergraduates, a record above 30,000 feet, fewer off-the-shelf parts every year. Real hardware, real test campaigns, built by students learning how to reach space. Good luck to the team on the next launch!

Congratulations to the team at The Exploration Company on a successful Nyx drop test. Follow our blog to learn how we help with TEC's propulsion test. Link in the comments.

Before joining Sift, Noah Lucas built data infrastructure for autonomous delivery robots, battlefield autonomy systems, and AI-native defense platforms at Postmates, Serve Robotics, Pendulum, and Anduril. Today, he's VP of Product at Sift. In his latest post, Noah reflects on fifteen years of building software-defined systems in the real world, why turning telemetry into decisions is becoming one of engineering's most important challenges, and why the next generation of physical AI will depend on better infrastructure to make it possible. It's also a reflection of the team we're building at Sift: people who have operated at the frontier and understand these challenges firsthand. Read Noah's story in the comments.

Sift is now FedRAMP High Authorized. For the teams solving the world's hardest hardware problems, Sift enables a real-time, queryable record of how their hardware behaved during test and in the field, now available even in the most tightly controlled environments. Teams can catch an anomaly while a test is still live and trace root cause in hours, not days. Knox Systems, Inc. helped us get authorized.

Your test data is trying to tell you something. Most teams hear it weeks too late. The legacy way treats testing as a phase. Build everything, validate at the end. An anomaly slips past early reviews, cascades into adjacent systems, and surfaces when the schedule has no margin left. The fix costs 100x what it would have at design. Software solved this with CI/CD years ago. Hardware couldn't. The tools weren't built for telemetry streaming off real machines. We built Sift to close that gap. Validation isn't a phase. It's infrastructure. Read more in the comments.

Congrats to the Astrolab team! NASA has selected Astrolab to deliver a crewed lunar rover for the Artemis program, with delivery targeted by 2028. Sustained surface mobility at the south pole moves from concept to schedule as the modern lunar industrial base takes shape. Astrolab is a Sift customer, and we're proud to be part of this journey to the Moon.

Sift supports eight panel types in Explore, each suited to a different kind of question. The right panel turns the question into a one-glance answer. This walkthrough groups all eight by the question they answer best, so you leave with a mental model, not a list. Jeremy Parker, on the Explore team at Sift, walks through time series, table, file viewer, histogram, FFT, scatter, metrics, and geo map, with the canonical question each one answers: what is the signal doing over time, what is the data telling you about itself, and where did this happen. By the end, you'll know which panel to reach for when the question is about timing, shape, behavior, or location. https://lnkd.in/gU7zYUha

Europe is expanding back into space. A new wave of NewSpace companies is rebuilding sovereign launch and reentry capability across the continent. How fast that expansion happens depends on how fast they can test. Propulsion development moves at the speed of test cadence. Every burn produces data that has to be aligned, compared, and fed into the next iteration. The faster the loop turns, the faster the rocket gets to the pad. The Exploration Company is testing the engines that will power Europe's next reentry capsule and lunar lander. Test stands in the UK. Engineers across France and Germany. Export controls that don't bend. Every test runs on Sift. The faster they turn the loop, the faster Europe gets back to orbit on its own terms. Full story in the comments.

Reviewing telemetry usually ends in screenshots and a long Slack message. You spend twenty minutes finding the second something went wrong. Another fifteen explaining where to look. Your teammate still opens a different view than the one in your head. The time series panel in Sift collapses that into one link. Open a channel, zoom in, share the URL. Your teammate opens the exact view you saw. First in our Explore 2 walkthrough series. Jeremy Parker on the Explore team breaks it down. https://lnkd.in/gs382WUf