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Built for L3Harris.

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Simplify telemetry and scale your mission

L3Harris’s VTOL UAS fleets (FVR-90, MQ-72C), C-Worker USVs, Iver4-900 UUVs, and Aerojet Rocketdyne propulsion systems like RL10 and eSR-19 demand uncompromising reliability across air, sea, and space domains. But fragmented telemetry and manual review slow validation, stretch certification timelines, and risk costly mission delays. Sift unifies high-volume data from propulsion, maritime, undersea, and airborne platforms into one observability layer, so engineers can detect anomalies in real time, validate faster, and scale fleet operations with confidence.

Traditional monitoring, testing, and security measures aren’t keeping up. That’s what Sift solves.

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Parallel Systems Logo
Reliable Robotics logoJetZeroAstro MechanicaCX2 logo
Parallel Systems Logo
Reliable Robotics logoJetZeroAstro MechanicaCX2 logo

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

Multi-Domain Validation

Problem:

L3’s propulsion, UAS, and maritime teams must validate systems across propulsion, avionics, navigation, and payload domains at once. Point solutions catch single-domain issues but miss cross-domain interactions, leading to retests, redesigns, and delayed acceptance testing

Cost:

Missed cross-domain anomalies stall qualification, extend test campaigns, and increase the risk of redesigns. L3 programs risk delayed readiness when subsystems cannot be validated together.

What changes with Sift:

Cross-domain anomaly detection: Sift surfaces issues spanning propulsion, avionics, and payload systems in real time.

Fewer redesign cycles: Integrated validation accelerates acceptance testing across SRMs, VTOL UAS, and ISR payload systems.

Trusted validation infrastructure: Teams see the full picture across domains, reducing missed failures and mission slips.

Sift can validate entire platforms across propulsion, avionics, and payloads keeping qualification on schedule and reducing costly redesigns.

Automated Reporting for Hardware (CI/CD)

Problem:

Environmental, thermal, and vibration campaigns create massive telemetry volumes. Today, engineers manually parse logs and run ad-hoc checks to validate outputs across subsystems. This slows iteration and burns engineering cycles.

Cost:

Manual bottlenecks delay readiness reporting and extend test-to-cert cycles. L3 programs risk falling behind schedule when validation reviews cannot keep pace.

What changes with Sift:

Automated telemetry validation: Sift runs continuous anomaly checks during campaigns without manual review.

Certification-ready reporting: Reports feed directly into engineering workflows for UAS, maritime, and propulsion systems.

Faster iteration cycles: Engineers move quickly from tests to fixes to validation without bottlenecks.

Sift can automate test reporting so L3 teams deliver cert-ready outputs on schedule, without slowing engineers down.

Subsystem Data Integration for Root Cause

Problem:

When anomalies occur, telemetry scattered across propulsion, avionics, nav, and payload systems slows root cause analysis. Without integrated data, small issues cascade into failures and delayed readiness.

Cost:

Disconnected telemetry forces engineers to spend days stitching data across tools. L3 programs risk schedule slips when anomalies cannot be traced quickly.

What changes with Sift:

Unified subsystem telemetry: Correlates propulsion, autonomy, and navigation data in one secure workspace.

Faster root cause resolution: Engineers diagnose anomalies in hours, not days, across UUV, UAS, and propulsion programs.

Cross-domain collaboration: Teams share the same context across avionics, propulsion, and payload groups.

Sift can accelerate root cause analysis across L3’s most complex platforms keeping fleet expansion and production milestones on track.

Purpose-built for L3Harris propulsion, UAS, and maritime platforms

Sift can power real-time telemetry, anomaly detection, and automated reporting across Aerojet Rocketdyne engines, VTOL UAS, and unmanned maritime systems.

Aerojet Rocketdyne propulsion systems

Monitor chamber pressure, vibration, and temperature in real time. Detect pump cavitation or injector instability before they cascade, trace anomalies to hardware or manufacturing issues, and generate flight readiness and certification reports for NASA and DoD programs.

Maritime USVs (C-Worker)

Track propulsion, navigation, and payload health continuously. Detect AIS drift, fuel anomalies, or comms failures, distinguish environmental from mechanical causes, and share mission logs securely with remote ops centers and naval partners for compliance reporting.

Undersea UUVs (Iver4-900)

Monitor thruster power, navigation sensors, and payload performance to detect battery degradation, drag, or sensor faults during endurance runs. Diagnose causes of mission aborts and generate NATO- and USN-compliant reports to track long-term reliability.

VTOL UAS (FVR-90, MQ-72C)

Detect flight envelope exceedances and propulsion anomalies in real time. Correlate wear, environment, and software issues to identify causes of in-flight failures. Share annotated telemetry with OEMs and military program offices, and generate airworthiness certification packages to keep fleets mission-ready.

Aerospace and Defense Resources

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Missions are complex.

Reviewing machine data should be simple.

Astro Mechanica

Using the best tools from the beginning

I’ve seen firsthand how capable data analysis toolchains can transform an organization. With Sift, we’re avoiding the pain of building these systems ourselves, and we’re training our team to use the best tools from the beginning. More
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Matthew Perkins

Engineering Lead, Astro Mechanica

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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