Where machines learn from every run
Hardware is won between the runs — Phloem shortens the loop from test, to lesson, to next decision. The record writes itself.
The bottleneck is not capability. It is infrastructure
Ship at software speed
Version control, CI and automated tests turned software releases from months into minutes. Procedures, limits and pass criteria as code do the same for hardware.
Record at the edge
Multi-day trials with no link still capture cleanly. The record ships when the link does — nothing waits, nothing is lost, nobody spends a day collecting files.
One timeline
Video, lidar, telemetry, control commands, logs and sim output on one playhead — different formats, different rates, different clocks, aligned before you ask.
Programs are slow between tests
Years from a first test to a shipped product — and almost none of it with hardware running. The time goes to analyzing telemetry, reconciling sim, chasing anomalies, validating fixes, preparing the next run.
Stitched together, every time
DAQ software, control scripts, spreadsheets, vendor tools that were never designed to talk. Engineers rebuild the plumbing between every run — weeks go to integration, not engineering.
Debugging by digging
Terabytes of logs, video and sensor data scattered across drives. Root cause takes days of manual forensics — AI can find it in minutes, but only if the data lives in one queryable system.
Testing blind by default
A new component could be checked against its spec and every prior run before it reaches the HIL bench. That history is unusable today — every campaign relearns what it already knows.
From the dyno bench to open water
Rockets, autonomous vessels, underwater and construction robots, grid hardware. Different products, same three failure modes — and the same data language.
One loop, raw capture to smarter machines
Capture once. The same record drives search, root cause, simulation and the next build. Test cycles gated by engineering, not by data plumbing.
Capture
Every modality, from bench, fleet and sim. Open formats, lossless.
→Search
Any moment across every past run, in seconds — by event, pattern or scene.
→Analyze
Agents trace an anomaly across telemetry, logs and video — straight to root cause.
→Simulate
Validate a change against the full run history before hardware moves again.
→Deploy
Ship to the fleet — the next runs roll back in. The loop repeats.
↺Your stack, one continuous workflow
MATLAB, ANSYS, LabVIEW, NI DAQ and the buses on your bench stay exactly where they are — Phloem threads them into one flow, one record.
+ anything else with an SDK, a topic, a bus, or a recorded log.
Replay any session. Test it in simulation
The investigation used to start with aligning timestamps by hand. Now it starts at the anomaly — then replays into sim to prove the fix before hardware is on the rig.
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
Days of manual digging become minutes. Agents act only at high confidence and hand uncertain calls back with their working — engineers stay in control.
Surface hidden anomalies
5% thrust short? Agents cross-reference DAQ telemetry, valve timing, controller logs, firmware revision and high-speed video in one pass.
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.
Deterministic by design. Sovereign by default
Two non-negotiables for aerospace, defense and industrial programs — built into the core, not bolted on.
Every run repeatable, or it isn't a result
The engine runs a sequence the same way every time — same order, same timing, same limits. Expensive tests deserve nothing less.
Your data stays under your control
Run in your cloud, on-prem, or air-gapped — and bring the models you trust. Where the data lives, and what touches it, is your call.
Built for teams, not just tools
Split across sites and toolchains, every team still reviews one run, one result, one set of numbers.
One shared workspace
Every engineer, on every site, sees the same runs, dashboards and annotations, live.
One source of truth
Versioned runs and baselines — any revision reproducible 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 — and every run can teach the next. Idea to validated product in months, not years. Behind the next generation of rockets, robots, reactors — and everything yet to be imagined.