Fewer unplanned stops. Faster ramp-up.
Smelters, refineries and process plants run on data nobody has time to question. We turn what the plant already records into ranked answers, independent evidence and systems that keep running.
Request a baseline studyWhat we solve here
Ramp-up that will not stabilise
New or rebuilt equipment rarely behaves like the design documents. We run ranked root-cause analysis across the commissioning data, historian, control system and lab, so the team chases the real cause instead of the loudest theory.
Recurring deviations nobody has cracked
Some deviations survive every shift handover and every retrofit. HGE tests the full field of candidate causes against years of your own measurements and returns what actually holds, quantified.
Maintenance that reacts instead of predicts
Generic predictive models drift with the process. We build early-warning logic from your own precursors, traceable back to the raw signals, and deliver it as software your team runs, not a black box.
Capabilities that apply
What a result looks like on plant data
| Rank | Candidate cause | Test against data | Score | Retained |
|---|---|---|---|---|
| 1 | Feed moisture on line B exceeds spec on night shift | moisture vs. yield loss | 0.91 | yes |
| 2 | Roaster bed temperature couples to intake air | lag correlation vs. throughput | 0.74 | yes |
| 3 | Acid plant conversion dips after clean-in-place | event-aligned comparison | 0.63 | yes |
| 4 | Conveyor vibration precedes trips by ~40 min | precursor test on trip log | 0.57 | yes |
| 5 | Reagent dosing drift vs. calibration date | drift vs. maintenance record | 0.19 | no |
Ranked HGE output, illustrative. The same method, validated in the open, is shown below.
Proof
| Result | Source |
|---|---|
| 220,656 Candidates surfaced from 1.8 billion objects | ESA Gaia DR3 |
| 43 Countries with forecasts in production | CERES public API |
| Apache 2.0 Published open source, reproducible | PyPI |
The method is domain-agnostic; the evidence is public.
Start with a baseline study.
A fixed-fee, fixed-duration engagement with a defined deliverable. Bring one concrete problem in your operations or your data, and leave with a result you can act on.
Contains modified Copernicus Sentinel data. Sentinel-2 cloudless by EOX (CC BY 4.0)