Autonomous Vehicles

See clearly and act decisively. Operate without blind spots.

SIFT for AUTONOMOUS VEHICLES

One source of truth for every signal

Autonomous systems need absolute clarity. Unified telemetry, sensor data, and logs help teams validate behavior, detect anomalies, and operate safely at scale

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Telemetry without limits

Analyze thousands of high-rate channels at full fidelity, from HIL to flight data review.

Automated anomaly detection

Codify edge-case behavior into real-time rules. Detect sensor dropout, frame lag, or logic faults as they happen.

Compliance-ready reporting

Document safety cases and behavior traces for ISO 26262, AV safety assessments, and internal validation.

Built for mission-critical AV workflows. From first drive to full fleet deployment.

R&D

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Validate perception, localization, and planning systems across simulated and real-world tests.

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Analyze high-rate data from LiDAR, radar, cameras, GPS, and IMUs in a unified timeline.

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Improve autonomy stack performance with traceable insight from every test cycle.

Manufacturing

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Track system behavior across environments, builds, and hardware variants.

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Automatically detect sensor drift, time sync issues, or off-nominal software behavior.

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Generate structured evidence for internal QA or regulatory validation.

Operations

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Monitor system health across fielded vehicles and test fleets in real time.

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Surface anomalies in compute, thermal, perception, or control modules using rule-based alerts.

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Support predictive maintenance strategies to maximize uptime and vehicle life.

Engineered for autonomy at scale

Visualize. Validate. Operate. Evolve.

Sift replaces siloed tools and ad hoc dashboards with a mission-grade observability platform for autonomous vehicles.

Unify your telemetry

Unified telemetry, simulation, and operations data. Real-time and historical analysis at full fidelity.

Full fidelity analysis

Real-time and historical analysis at full fidelity.

Anomaly detection

Rules-based validation, automated anomaly detection

Sharing and permissions

Shareable views, annotations, and version-controlled reports

Built for modern AV infrastructure

Ingests LiDAR, camera, radar, GPS, ROS/ROS2, CAN logs, TDMS, Parquet, and more

Deployable in air-gapped, low-bandwidth, or disconnected environments

Scales from prototype vehicles to global test fleet

Trusted by the teams building what’s next

Parallel Systems streamlines data review, cut infrastructure costs by 85%, automates reporting, accelerating development of autonomous rail vehicles with Sift

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Parallel Systems builds autonomous electric freight vehicles to operate on rail networks. With Sift, their team unifies telemetry, sensor data, and control logs to cut debug time and enable safe deployment.