In 2022, former SpaceX engineers Karthik Gollapudi and Austin Spiegel realized something fundamental while working on Dragon, Falcon, Starlink, and Starship programs: the tools built for simpler machines were failing mission-critical hardware systems. Legacy dashboards, scripts, and spreadsheets couldn't keep up with the complexity of modern machines that generate terabytes of telemetry data. They watched engineers struggle to make sense of fragmented data streams, risking mission reliability and slowing innovation across aerospace, defense, and robotics. So they built Sift - a unified observability platform designed from the ground up for hardware sensor data.
What started as a solution born from spaceflight challenges has evolved into the backbone of innovation for companies pushing the boundaries of what's possible. Sift transforms messy hardware telemetry into a structured, shareable, and trusted source for analysis, enabling automated data review, real-time anomaly detection, and engineering confidence across the entire hardware lifecycle. From spacecraft to autonomous vehicles, Sift empowers engineers to build faster, test smarter, and operate with precision - eliminating the need to juggle multiple tools or write code for basic insights. Today, the platform serves customers like K2 Space, Astranis, Astrolab, and JetZero, proving that when engineers have the right tools, there's no limit to what they can build.
