Robotics

Ingest every robot's high-rate, multimodal telemetry, and compare every run on one timeline.
SIFT for robotics

High-rate, multimodal robot telemetry lands in its native structure

Stream torque, encoder, vision, force, and IMU channels together at the rate each was recorded, down to sub-second precision. Schema-evolving telemetry stays queryable as your robots change, so a regression in one joint reads against the camera and force data from the same run.

Request a Demo

Every channel lands in its native structure

Torque, encoder, vision, force, and IMU streams arrive together on one clock. Schema-evolving telemetry stays queryable as designs change, build over build.

Rules catch misalignments the moment they appear

Rules your team writes detect misalignments, cycle deviations, and thermal spikes in real time, so a teammate's catch becomes a check every cell runs.
Sift user interface showing an Explore interface including multiple times series plots with live annotations and a table of data.

Compare every run on one timeline

Time-aligned comparison lines up runs, builds, and units, so regressions and outliers stand out across the whole corpus, build over build.

One platform, from your first prototype to your production fleet

01

Develop

Validate control algorithms, joint motion profiles, and sensor fusion against high-rate telemetry.
Analyze torque, encoder, vision, and force data across simulations and testbeds.
Improve repeatability and precision with insight from every build.
02

Validate

Run automated checks across simulation, HIL, and physical testbeds.
Compare runs side by side to catch regressions at sub-second precision.
Streamline compliance with DFARS, NIST SP 800-171, and AS9100.
03

Operate

Monitor robotic cells and conveyor lines in real time.
Surface misalignments, cycle deviations, and thermal spikes the moment they appear.
Trend wear across the fleet to schedule maintenance on condition.

Built for modern robotics infrastructure

Visualize. Validate. Scale. Operate.

Sift replaces brittle scripts and siloed dashboards with an observability platform built for robotic systems.

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

Your team ingests any robotics telemetry, at the rate it was recorded

Ingest your telemetry from ROS and ROS2 bags, MCAP, CSV, TDMS, Parquet, and more.
Run in your environment: cloud, hybrid, or air-gapped.
Stream schema-evolving, multimodal telemetry as your designs change.
real customer achievements
Astrolab logo

Automatic review saves the rover team weeks of manual work.

Venturi Astrolab is building a fleet of planetary rovers for the Moon and beyond. Automatic data review on Sift saves weeks of manual work and supports more frequent releases, with full hardware genealogy traced from production through operation.

Related insights

How Sift is Helping Reliable Robotics Pioneer Autonomous Aviation

In the aviation industry, safety and reliability are paramount. Reliable Robotics, a Mountain View-based company founded in 2017 by experienced aerospace engineers Robert Rose and Juerg Frefel, is taking a measured, practical approach to enhancing aviation safety through automation. Their mission is to bring safe, certified autonomous systems to commercial and defense aviation.
Read Full Post →
Image of a tech cart with two computer screens showing Sift Explore interface and Grafana dashboard

When Grafana dashboards stop being enough

You'll outgrow your Grafana backend before you outgrow Grafana. Here's how to keep the dashboards you love without the infrastructure pain.
Read Full Post →
Abstract background depicting many cyclical lines in a 3d space

From intuition to institution: How the best hardware teams turn engineering judgment into compounding velocity

A hardware team's most valuable asset is the accumulated judgment of its engineers. The instinct to protect it by freezing the design is ironically what destroys it. Here's how the best teams manage risk through change and turn attrition risk into engineering acceleration.
Read Full Post →
Talk to our engineers about how high-performance teams use Sift to unify data across the hardware lifecycle.