Sift

In mission-critical industries, losing track of hardware isn’t an option.?Today, we're excited to announce our partnership with MANUFACTURO ?? Tracking hardware history across testing, maintenance, and reassignment has been a perennial pain point for manufacturers. Poor traceability often leads to inefficiencies, compliance risks, and unexpected failures. Key Benefits of This Integration: -Complete Hardware History – A comprehensive, traceable record of component performance to support decision-making and regulatory compliance. - Proactive Issue Resolution – Link nonconformance reports directly to past test data to reduce downtime and improve reliability. - Lifecycle Visibility – Track each component’s journey through manufacturing, installation, and testing for greater operational transparency. - Smarter Maintenance and Risk Reduction – Leverage historical test data to predict failures, optimize maintenance schedules, and enhance system-wide reliability. Read more here: https://lnkd.in/eGvyxtk9

K2 Space Corporation has chosen Sift to power their scalable satellite operations. They had two options: build it themselves or find a platform that could keep up with their ambition—eliminating bottlenecks, accelerating root cause analysis, and enabling real-time decision-making. With Sift, K2 engineers aren’t spending hours formatting data or chasing anomalies. They’re focused on the challenges only they can solve. Watch the full video to hear from K2 Space CTO Neel Kunjur on why they chose Sift. https://lnkd.in/gcdwyTyA

We are excited to announce Yaron Alfi as an advisor to Sift! Yaron has vast experience building connected manufacturing and testing systems that have powered industry leaders like SpaceX. Yaron specializes in aligning hardware build and test workflows with software-driven solutions, creating integrated systems that enable rapid iteration and scale. His deep understanding of modern manufacturing ecosystems has helped teams navigate the complexities of high-performance engineering. At Sift, we believe the future of complex machines depends on real-time observability and structured, data-driven decision-making—challenges Yaron has spent his career solving. His insights will be invaluable as we continue pushing the boundaries of high-performance engineering workflows for aerospace, robotics, and beyond. Welcome to the team, Yaron. Let’s build. ??

Databases weren’t built for mission-critical machines. The future belongs to modular, decoupled systems that scale with demand. Read more in our latest blog: The Best Database is No Database. https://lnkd.in/e86XwADQ

Hans Koenigsmann’s work at SpaceX showed how continuous testing, adaptive workflows, and institutional knowledge-sharing transform risk into progress. Our latest blog dives into ?? Key principles that engineers can apply: ??Test as you fly: Run systems under real-world conditions to catch vulnerabilities early. ??Delete the part: Simplify designs to enhance reliability and reduce failure points. ??Preserve institutional knowledge: Documentation and collaborative reviews reduce knowledge loss over time. Koenigsmann’s principles show that embracing change and iterative improvement is essential for reliability in high-stakes industries. What can today’s engineers learn from Koenigsmann’s approach? Read more https://lnkd.in/eS8ivCQ8 #SpaceX

?? Astro Mechanica chooses Sift to streamline high-frequency telemetry, accelerate test cycles, and ensure their engineers spend time refining propulsion systems—not wrangling data. Astro Mechanica is on a mission to make supersonic travel commercially viable—with airliners capable of reaching Mach 3 at costs comparable to today’s flights. To get there, they need data infrastructure that moves as fast as their aircraft. Why Sift? ? Real-time telemetry analysis – No delays, no bottlenecks. ? Precision test comparisons – Overlay and analyze high-sampling-rate data across test runs. ? Automated anomaly detection – Surface critical issues before they impact performance with rules-based detection. ? The team - A shared culture across teams, rooted in Sift’s experience with advanced technologies from their SpaceX heritage “The pitch from Sift and what we’ve experienced so far is simple: the thing is going to work. Put your data in, and you can do what you need with it.” — Matthew Perkins, Engineering Lead, Astro Mechanica With Sift, Astro Mechanica is setting the pace for the future of aviation—leveraging fast, scalable, and reliable data infrastructure to push the boundaries of flight. ?? Read the full story: https://lnkd.in/es5cyRVu

We’re thrilled to announce Critical Loop as our first customer in the energy industry! ?? Read more... ?? Critical Loop is tackling the growing challenge of utility grid instability with portable energy storage and predictive software—ensuring their customers have the reliable power they need, even in the face of grid limitations. By leveraging Sift, Critical Loop transformed their telemetry capabilities: ? Sub-second insights into fleet performance ? Simplified integration across diverse hardware systems ? Proactive alerts that eliminate service disruptions before they escalate This partnership is a testament to how modern observability tools can ensure operational excellence and redefine mobile energy management. ?? Check out the blog to see how Sift and Critical Loop are powering the future of reliable energy: https://lnkd.in/eBGVYEzv

What if every developer adopted a safety-critical mindset? ?? Sift Co-founder and CTO Austin Spiegel's article on Stack Overflow argues that resilience isn’t just for rockets or medical devices—it’s essential for all software. Failure is inevitable, but trust is built in how systems recover. Check it out here https://lnkd.in/eMVKRcq5

??When it comes to hardware engineering, there’s no one-size-fits-all process. Models like the Spiral Model and V-Model each offer distinct approaches for tackling complex projects, leveraging their own unique strengths. However, aerospace hardware release cycles face persistent challenges: late-stage testing often uncovers costly design flaws, delaying progress and creating ripple effects across dependent programs. ?? Our latest blog dives into how System V Engineering can make your development process faster, safer, and more predictable: https://lnkd.in/gqEp9wKp

?? Tackling Data Fragmentation in Complex Hardware Systems In our latest blog, we dive into the challenges of managing fragmented, high-cardinality data—telemetry, logs, testing videos, and more—and explore practical solutions for hardware teams. When datasets are siloed in disconnected systems, teams face serious hurdles: ? Inconsistent data pipelines, leading to misaligned insights. ? Engineering hours lost to manual data reconciliation. ? Collaboration friction across cross-functional teams. ?? Enter the Single Source of Truth (SSOT) An SSOT brings data together in a unified platform ensuring teams work with accurate, real-time information across the board. Here’s how the right approach to centralizing data can make an impact: ? No more manual workarounds: Automated alignment of telemetry, logs, and video feeds. ? Real-time observability: Transparent access to system behavior, whether in R&D, testing, or operations. ? Scalable storage: Purpose-built to handle high-cardinality telemetry and growing data streams without performance loss. For teams building complex machines ?? ???, where precision and collaboration are non-negotiable, an SSOT is more than a convenience—it’s a foundation for tackling complex engineering problems effectively. ??? Explore how an SSOT can streamline your workflows and enhance decision-making. https://lnkd.in/eVmUh2_G