Accelerate your hardware development by 10x
Go from test to root cause in hours, not weeks
Connect any hardware, run any test, understand everything that happens
Plug it in. It is already talking to Phloem.
Phloem automatically discovers DAQ units, SCPI instruments and other bench hardware. No configuration files. No driver hunting.
- Automatic device detection
- Any hardware, any protocol
Watch the run as it happens.
See telemetry, video, point clouds, and more on a single timeline—live, while the test is running. No manual clock alignment.
- Real-time visualization across every modality
- Automatic time synchronization, with no manual alignment
- Watch any machine on the network, from anywhere
Phloem runs the test, not just the data.
Automate deterministic test sequences with local safety loops and abort conditions—even offline. The same sequence produces the same result, every time.
- Deterministic test execution
- Distributed benches, local or across sites
- Full traceability for every run
Understand what happened during the test.
Replay any run with telemetry, video, and events synced to the same timeline. Compare against historical runs to pinpoint changes in configuration, signals, and outcomes.
- Synchronized replay across all data, video and events
- Compare any test run against history
- Automated reporting
Ask why. Get answers backed by your test history.
Ask questions in plain language and get answers based on your actual test history. Every answer traces back to the underlying evidence, not a generic hypothesis.
- Root cause analysis across every run
- Context across systems, software, and hardware
Pressure and thrust decay together after t+96 s at 2.3× the historical mean — residual impulse after burnout, not a sensor artifact. Run 96 showed the same signature; borescope confirmed throat erosion.
Write the test stand — or let AI write it. Deploy. The engine keeps it safe.
A few lines describe the stand: what you read, what you command, where it must stop. Deploy, and a sealed engine on the machine takes it from there.
setup("hotfire") ch = channels() pc = ch.read("/stand/chamber_bar", unit="bar", limits=limits(hi=70, hihi=78), checks=True) ch.write("/stand/main_valve", dtype="bool", safe=False) interlock(name="overpressure", when=lambda: pc > 78, then=[set(ch["/stand/main_valve"], False)]) step("fire", step("purge", set(ch["/stand/purge"], True), hold("30s")), step("ignite", set(ch["/stand/main_valve"], True), hold("8s")), safe=safe()) page("Hotfire", layout=col( row(gauge(pc), toggle(ch["/stand/main_valve"])), row(alerts(), log())))
No window, link or cloud in the loop.
Interlocks act, then latch until Reset.
Same channels in, same verdict out.
Run where your hardware is
Phloem runs entirely within your infrastructure, even without an internet connection. Your systems and data stay on site, with syncing enabled only when you choose.
Speak your stack
Phloem works with the hardware, protocols, and data formats you already use. No need to change your stack.
Built for teams that learn by testing
Propulsion & Space
Turn every test into engineering knowledge.
/motor/chamber_pressure_bar70.9 →Robotics
Debug systems that behave differently every time.
/arm/tracking_error_clean_mm0.42 →Marine Autonomy
Build for systems that operate beyond the network.
missions reconciled3 · offline 14 hEnergy & Grid
Coordinate engineering across the entire system lifecycle.
/transformer/oil_temp_c61.2Aircraft
Understand every flight. Turn flight-test data into faster decisions.
/air/egt_margin_c48.6 →Drones
Debug autonomy in the wild.
/mav/attitude/roll2.1