01 / Physical AI1.2 kHz
Physical AI
Joint torque, motor current, gripper cameras across an embodied-AI fleet.
torque_j3 · current_a · grip_force
REC · One timeline · T+00:00 → 05:30
Where machines learn from every run AI-native platform for the teams building at the edge of what's physically possible.
Multimodal Capture
RUN T-800 · LIVE
04:23elapsed
1,247Kmessages
7streams
2.4 GBon disk
T+00:00T+01:00T+02:00T+03:00T+04:00
signalTORQUE_J3
1.4 N·m
videoCAM_FWD
30 fps
lidarLIDAR_0
10 Hz
tfbase→tool
18 tf
sonarSBES_0
5 Hz
powerMOTOR_A
12.4 A
One home for every sensor and every run, on a single timeline. Turn the data you already capture into machines that get better with every test.
01 · Industries
Built for teams pushing physical limits.
Phloem speaks the data language of every domain rewriting what hardware can do, from the dyno bench to open water.
View page →
02 / Aerospace50 kHz
Rockets & launch
Chamber pressure, thrust vectors, engine-bay video, every burn to MECO.
p_chamber · thrust_n · mach
03 / Autonomy100 Hz
Autonomous vehicles
LiDAR, IMU, brake-by-wire, reconstructed frame by frame against ground truth.
pointcloud · imu · brake_p
04 / Aviation2 kHz
Drones & UAS
ESC currents, IMU bias, FPV video, GPS, correlated across a whole fleet.
esc_a · imu_bias · gps
05 / Propulsion20 kHz
Jet engines
Vibration spectra, EGT, borescope video, shaft RPM, idle to afterburn.
vib_spec · egt · n1_rpm
06 / Maritime5 Hz
Maritime & USVs
Sonar returns, AIS tracks, GNSS heading and prop thrust, across every sea trial.
sonar_ping · ais_tgt · gnss_hdg
02 · The loop
One loop, from raw capture to smarter machines.
Capture once. The same data drives search, analysis, simulation, and deployment. Every run makes the next unit better.
01
Capture
Every modality, from bench, fleet and sim. Open formats, lossless.
02
Search
Find any moment across the fleet in seconds, by event, pattern or scene.
03
Analyze
Agents correlate modalities, surface edge cases, and explain what changed.
04
Simulate
Feed curated scenes into sim and training, so edge cases become better policies.
05
Deploy
Ship to the fleet, and the next runs roll back in. The loop repeats.
03 · Ecosystem
Native to the stack your machines already run on.
First-class ingest for the open formats, protocols and buses your robots, rigs and benches already speak.
datasetsLeRobot
frameworkROS 2
protocolCAN bus
protocolMAVLink
simIsaac Sim
sceneOpenUSD
trainPyTorch
formatMCAP
dataParquet
vizGrafana
commsSlack / Teams
codeGitHub
protocolModbus
runtimePython
analysisMATLAB
protocolNMEA 2000
dataInfluxDB
workJira / Linear
And anything else with an SDK, a topic, or a recorded log.
04 · Replay
Replay any session. Test it in simulation.
Scrub any recording with every modality back in sync, then replay it into simulation to validate a fix before it touches hardware.
A · Session replay
Scrub the whole scene, perfectly in sync.
Jump to any moment and every stream snaps to the same instant: signal, video, lidar and transforms on one playhead.
B · Simulation
Validate the fix before it ships.
Replay a real recording into your simulator, run the new policy against the exact scene, and compare against ground truth.
05 · Intelligence
Agents that read every modality.
A tireless teammate on every run, watching every stream, connecting what happened, surfacing what changed, and always showing its work.
A · Multimodal analysis
Surface hidden anomalies.
Agents cross-reference signal drift with camera and lidar, catching what single-modality review misses.
B · Context graph
Agents know what you mean.
Every signal, frame and scan links to the part, revision and ticket it belongs to — so when you ask, agents already share your context.
06 · Teams
Built for teams, not just tools.
One shared workspace from the test bench to the program office. No more CSVs by email or charts screenshotted into Slack.
One shared workspace
Every engineer sees the same runs, dashboards and annotations, live.
One source of truth
Versioned runs and baselines: compare any revision against any other.
Reports on autopilot
End-of-test summaries written and delivered to Slack, Teams or email.
07 · End of run
For the teams pushing the physical limits.
Hard things are won one run at a time. Bring every run into one place, and turn the data you already capture into machines that get better with every test.