Where machines learn from every run
The AI-native, multimodal platform for teams building at the edge of what's physically possible. Every sensor, every run, one timeline — build faster, the record writes itself.
Built the way hardware actually works
Hardware at software speed
Procedures, limits and pass criteria run as code — repeatable, scored as data lands, safe by construction.
Record at the edge
Runs are captured beside the hardware and survive zero connectivity. The record ships when the link does — nothing waits, nothing is lost, and nobody spends a day collecting files.
One timeline
Every modality on one playhead. A run reads as a scene, not a folder of files — and every run teaches the next.
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.
One loop, raw capture to smarter machines
Capture once. The same data drives search, analysis, simulation and deployment. Every run makes the next unit come sooner.
Capture
Every modality, from bench, fleet and sim. Open formats, lossless.
→Search
Find any moment across the fleet in seconds — by event, pattern or scene.
→Analyze
Agents correlate modalities, surface edge cases, explain what changed.
→Simulate
Curated scenes feed sim and training; edge cases become better policies.
→Deploy
Ship to the fleet — the next runs roll back in. The loop repeats.
↺Native to the stack your machines run on
First-class ingest for the open formats, protocols and buses your robots, rigs and benches already speak.
+ anything else with an SDK, a topic, or a recorded log.
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.
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.
Validate the fix before it ships
Replay a real recording into your simulator, run the new policy against the exact scene, compare against ground truth.
Agents that read every modality
A tireless teammate on every run — watching every stream, connecting what happened, surfacing what changed, always showing its work.
Surface hidden anomalies
Agents cross-reference signal drift with camera and lidar — catching what single-modality review misses.
Agents know what you mean
Every signal, frame and scan links to the part, revision and ticket it belongs to — agents already share your context.
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.
For the teams pushing physical limits
Hard things are won one run at a time. The data you already produce becomes the record that speeds up the next one — no extra work, no second system.