Faster testing
for lean teams.

Scale your mission.

Engineers move faster when telemetry review is automated. Sift delivers mission-grade efficiency without adding engineering hours.

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Scaling testing without the drag of
in-house tools.

Growing aerospace teams cannot afford to waste cycles on building telemetry tools or manual log parsing. Every hour spent stitching scripts or reconciling tools is an hour not spent on building product. Sift eliminates that tradeoff by delivering a production-ready observability platform from day one. With automated anomaly detection, CI/CD for hardware, and unified root cause analysis, scaling companies move from early tests to production without slowing down or hiring extra headcount.

Manual anomaly detection and data review slows down scaling teams and introduces risks.

Engineers are developing 21st-century machines with 20th century tools.
Sift is a fundamentally different approach.

Rule-Based Anomaly Detection

Problem:

Growing teams often rely on scripts and manual checks to detect anomalies during qualification. This approach misses signal drift, abnormal vibration, or power draw until late in testing, forcing costly retests and redesigns.

Cost:

Every missed anomaly delays readiness reviews, triggers rework, and risks program schedules. For lean teams, the drag of chasing down late-stage issues diverts engineers from building core technology.

What changes with Sift:

Real time anomaly detection: Engineers author rules without code, surfacing off-nominal conditions the moment they occur.

Reduced re-test cycles: Failures are caught earlier in qual campaigns, keeping hardware programs on track.

Fewer engineering hours lost: Automation replaces manual checks, freeing cycles to focus on development.

Sift puts anomaly detection on autopilot so lean teams avoid retests, redesigns, and wasted cycles.

Automated Data Review

Problem:

Manual log parsing between test runs consumes limited engineering cycles and slows iteration. Without automation, teams waste hours verifying outputs instead of advancing builds.

Cost:

Validation bottlenecks extend certification timelines, drain engineering resources, and put critical deadlines at risk. For smaller teams, every hour spent reconciling telemetry is an hour lost on building product.

What changes with Sift:

Automated telemetry validation: Continuous checks run across high-volume sensor data without manual review

Certification-ready reports: Reports generate automatically, accelerating readiness and compliance.

Faster iteration cycles: Automated review tightens the loop between test, fix, and release.

Sift eliminates validation bottlenecks so every test cycle delivers cert-ready results without overhead.

Root Cause Analysis

Problem:

Telemetry scattered across tools and subsystems makes it hard to trace anomalies to root causes. Small failures cascade into delays when avionics, propulsion, and payload data can’t be correlated.

Cost:

Fragmented analysis extends downtime, slows certification, and stalls scaling. Without fast root cause analysis, small teams drown in data instead of moving programs forward.

What changes with Sift:

Unified telemetry backbone: Correlates propulsion, avionics, and payload data into a single backbone.

Faster anomaly triage: Engineers trace issues from anomaly to subsystem to hardware/software root cause in minutes, not days.

Cross-team efficiency:
Shared context prevents bottlenecks, keeping production and readiness on track.

Sift unifies subsystem data so small teams resolve anomalies faster and scale without drowning in telemetry.

Purpose-built for fast-growing aerospace teams

Sift delivers real-time anomaly detection, automated validation, and unified root cause analysis so lean teams can move from early testing to production without building complex in-house stacks.

Anomaly Detection in Test Campaigns

Surface off-nominal signals instantly during propulsion hot-fires, UAS flight tests, or subsystem validation. Replace manual log review with automated rules that catch issues before they trigger costly retests.

Automated Data Review for CI/CD Workflows

Integrate telemetry validation into hardware-in-the-loop and simulation pipelines. Auto-generate certification-ready reports, reduce bottlenecks, and accelerate iteration cycles without extra engineering overhead.

Root Cause Analysis at Scale

Unify telemetry from avionics, propulsion, and payload subsystems into one workspace. Trace issues to root cause in minutes, enable cross-team collaboration, and keep programs on schedule as they scale.

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Battle-Tested Expertise

Sift is built by engineers with experience at SpaceX, working in high-stakes environments where precision, scalability, security and reliability are non-negotiable. Our platform is designed to meet the unique challenges of aerospace defense, ensuring mission success at every stage—from development to deployment

Request a demo.

Talk to our engineers about how high-performance teams use Sift to unify data across the hardware lifecycle.

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