Problem
Test data is expensive and hard to trust in the moment. A wind-tunnel campaign, engine test cell, flight-test window or durability rig can stream thousands of sensor channels at once — yet instrumentation is sparse relative to what you need to know, calibration drifts during the run, and turning raw signals into a trustworthy, calibrated answer still happens by hand, long after the test is over.
Solution
Hendon combines software with hands-on engineering. Our models fuse live channels with a physical description of each instrument — its location, what it measures, its error model — to reconstruct the full field from sparse sensors, with calibrated uncertainty on every output. And because no two test programmes are alike, we work alongside your team — instrumentation strategy, model calibration, and making sense of the results — so the answers hold up in the decision, the report, and the certification file.
How it works
Bring in heterogeneous, asynchronous channels — pressure, temperature, strain, flow — each with its position and error model.
A probabilistic model fuses them into a continuous field with calibrated uncertainty, and flags drift and anomalies as they happen.
Query in plain language, find where the next sensor cuts uncertainty most, and export certification-ready evidence.
Combine heterogeneous, asynchronous channels into one coherent picture.
Recover the full spatial field from sparse instrumentation.
Estimate quantities where no probe can physically go.
Every value carries a calibrated confidence, traceable to calibration.
Know where the next sensor most reduces uncertainty — before you drill.
Catch faults and calibration drift live, mid-run.
Ask your measurement systems anything — and get a calibrated answer.
Assemble traceable records aligned to GUM and your QA process.
For test & measurement, flight test, propulsion, and vehicle-dynamics teams.
Request a briefing