🧠 At Sift, innovation starts with empathy. Our engineers immerse themselves in the customer’s world—so when we build, we’re solving the right problems. Read how we keep customer needs front and center. https://lnkd.in/ep8xKNAQ
About us
Sift is transforming how modern machines are built and operated. Our platform goes beyond traditional monitoring, enabling automated data review that catches unusual conditions in systems too complex for manual checks. This not only enhances reliability but also dramatically speeds up development cycles. At our core, we provide a unified solution for ingesting, storing, and analyzing vast amounts of machine data. By combining powerful data processing with easy-to-use visualizations, we help engineers make sense of enormous amounts of information. From spacecraft to self-driving cars, Sift is the backbone of innovation for companies pushing technology to new limits. Born from the challenges of spaceflight, Sift aims to accelerate technological progress. We believe that by giving engineers better tools to understand and improve their creations, we can unlock a new era of innovation. Our mission goes beyond solving today's engineering problems; we're building the foundation for a future where the most ambitious machines are developed with confidence, run with precision, and constantly improved. We're also tackling related challenges like simplifying regulatory compliance, and improving manufacturing processes. By connecting data from various sources—from sensors to manufacturing records to regulatory requirements—we're empowering a new generation of engineers to build the technologies that will shape our world. Join us in our journey to usher in this new age of reliable, groundbreaking technology. Whether you're launching rockets, developing autonomous systems, or advancing energy and transportation, Sift is your partner in turning vast amounts of data into insights that drive innovation forward.
- Website
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http://www.siftstack.com
External link for Sift
- Industry
- Software Development
- Company size
- 11-50 employees
- Headquarters
- El Segundo, California
- Type
- Privately Held
- Founded
- 2022
Locations
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Primary
Get directions
201 Arena St
El Segundo, California 90245, US
Employees at Sift
Updates
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💡 When critical knowledge is concentrated in a few experts, organizations become fragile. Why? 👇 Reliability isn’t about heritage—it’s about constantly evolving to ensure your understanding of the performance envelope is always fresh. In our latest blog, see how Sift is used to compound on your learnings, mission over mission, block over block, generation over generation. https://lnkd.in/enZvrZCp
Antifragile Engineering - Sift
siftstack.com
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Sift's engineering team is making great strides. Massive real-time telemetry streams often rely on simple averaging or random sampling to reduce data volume, but these methods bury critical spikes and anomalies. 😲 Our engineering team tackled this with LTTB downsampling—preserving what matters without losing clarity. Learn how we ingest and display massive amounts of telemetry data without losing actionable insights. https://lnkd.in/eHEBScHT
Enhancing Real-Time Telemetry Analysis with LTTB Downsampling - Sift
siftstack.com
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Most companies are radiating institutional knowledge every day. Tried my best to share how Sift captures and harnesses that knowledge to make your company organizationally fault-tolerant ♨️
The Silent Threat in R&D: The Entropy of Institutional Knowledge In the world of hardtech, stakes are high, and precision is paramount. Every insight lost during research and development isn’t just a setback—it’s time, capital, and opportunity slipping through the cracks. Yet, knowledge loss is pervasive: ▪️ A senior engineer departs, taking years of critical experience with them. ▪️ Documentation on internal tools becomes obsolete almost as soon as it’s created. ▪️ Teams and new engineers waste hours rediscovering answers that have already been solved. How do we bridge this knowledge gap? R&D teams need tools designed specifically for hardtech challenges. Our latest blog delves into how we can address this pressing issue. https://lnkd.in/egs6mYyA →
The Entropy of Institutional Knowledge - Sift
siftstack.com
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If you’re curious about how Sift is tackling the biggest challenge in hardware engineering, join us for a 30-minute webinar. With Sift, engineers can monitor the heartbeat of their machines, proactively identify and resolve anomalies, and make faster, data-driven decisions. 📅 December 12th, 11:30 AM PST 💡 Learn why engineers at companies like Impulse, Astrolab, and Mach choose Sift. https://lnkd.in/epKPaDjZ What’s on the agenda: ✅ Codify rules to spot anomalies before they derail your mission ✅ Unify your database and visualization layers for real-time root cause analysis ✅ Live Demo: Watch Sift in action solving a mission-critical use case Can't make it? Register and we'll send you the recording. 🚀
Welcome! You are invited to join a webinar: Moving Beyond Monitoring: Anomaly Detection for Hardtech with Sift. After registering, you will receive a confirmation email about joining the webinar.
us06web.zoom.us
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The Silent Threat in R&D: The Entropy of Institutional Knowledge In the world of hardtech, stakes are high, and precision is paramount. Every insight lost during research and development isn’t just a setback—it’s time, capital, and opportunity slipping through the cracks. Yet, knowledge loss is pervasive: ▪️ A senior engineer departs, taking years of critical experience with them. ▪️ Documentation on internal tools becomes obsolete almost as soon as it’s created. ▪️ Teams and new engineers waste hours rediscovering answers that have already been solved. How do we bridge this knowledge gap? R&D teams need tools designed specifically for hardtech challenges. Our latest blog delves into how we can address this pressing issue. https://lnkd.in/egs6mYyA →
The Entropy of Institutional Knowledge - Sift
siftstack.com
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Trying to scale an in-house telemetry stack or grappling with data overload? Join us for a 30 minute webinar on December 12th, 11:30 AM PST to learn why engineers at companies like Impulse, Astrolab, and Mach choose Sift. What’s on the agenda: ✅ Codify rules to spot anomalies before they derail your mission ✅ Unify your database and visualization layers for real-time root cause analysis ✅ Live Demo: Watch Sift in action solving a mission-critical use case
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Our CTO and co-founder, Austin Spiegel reveals how SpaceX's unique engineering culture influenced his approach to building Sift in the latest Dev Interrupted podcast.
What’s the secret to building better products? Letting engineers drive the vision. This week, host Ben Lloyd Pearson interviews Austin Spiegel, co-founder and CTO of Sift, who previously spent years leading engineering teams at SpaceX. Austin reveals how SpaceX's unique engineering culture, which eliminated the product management layer, influenced his approach to building Sift, including the implementation of a forward-deployed engineering team. Austin further argues that we're entering a new era where the most valuable engineers aren't just skilled coders, but also savvy business thinkers. He believes that as software development becomes easier due to the proliferation of AI, engineers who can connect their technical expertise with a deep understanding of customer needs and market trends will have a significant competitive advantage. Learn why letting engineers take the wheel might just be the future of product development by heading over to our Substack: https://lnkd.in/gxxSCZq4
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Burn the Boats. 🚢 🔥 In our latest post, learn why clinging to legacy systems is holding you back. Building complex machines demands precision. Every test should validate behavior. Every iteration should reduce risk. 📉 Yet too many engineering teams are caught in the paradox of legacy systems—a safety net that quietly sabotages progress. Consider this: every hour spent maintaining outdated tools is an hour not spent innovating. Every engineer managing legacy code is an engineer not pushing boundaries. Every dollar invested in obsolete systems is a dollar not building the future. Read our thoughts on a path forward: https://lnkd.in/eR5JfKBQ
Burn the Boats - Sift
siftstack.com
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“Iterate or stagnate” applies to hardware, too. 🎤 Sift’s CTO and co-founder Austin Spiegel shares his journey from SpaceX to Sift on the Machine Mind podcast with Greg Toroosian, breaking down how Sift simplifies data complexity for engineers building modern machines. https://lnkd.in/e_TnUvje
From SpaceX to Sift: Simplifying Data Complexity for Engineers - Sift
siftstack.com