Sift brings rocket-tested telemetry to industrial production
Sift is building a data infrastructure tailored for advanced manufacturing, founded by two ex-SpaceX engineers who know how to run complex systems at scale. Rather than inventing new hardware, Sift is translating the software patterns and operational discipline that keep rockets on schedule into a stack factories can use to get clearer, faster insights from their machines and processes.
The platform emphasizes robust telemetry ingestion, time-aligned data pipelines, and tooling for rapid root-cause analysis. Those capabilities are already familiar to aerospace teams, where milliseconds and small anomalies matter; applied to factories, they help engineers catch issues earlier, reduce unplanned downtime, and accelerate continuous improvement.
Key benefits include real-time anomaly detection, easier correlation between disparate signals (sensors, PLCs, operator logs), and reproducible incident workflows that shorten mean-time-to-repair. Early adopters report faster investigation cycles and improved throughput thanks to clearer line-of-sight into complex production systems.
With manufacturing increasingly adopting automation and data-driven operations, Sift’s rocket-grade approach is a practical, high-impact win: it brings proven reliability practices into everyday factory settings, helping manufacturers scale quality and resilience without reinventing the stack.
- Transforms aerospace telemetry practices into manufacturing-grade data infrastructure
- Improves uptime and speeds troubleshooting with real-time, correlated insights
- Focuses on reliability, reproducibility, and operational scale familiar from launch operations