Head-to-head · 2026
Augury vs JEMBA: which should you shortlist?
Last verified September 1, 2026 · how we score
The verdictDifferent questions. Augury answers 'which machine will fail, and why' — vibration-first, with the category's best fault diagnostics. JEMBA answers 'why is my process producing scrap/drift' — unsupervised learning across hundreds of process variables. Rotating-equipment reliability programs pick Augury; process and quality programs pick JEMBA; larger plants increasingly run both.
| Criterion | Augury | JEMBA |
|---|---|---|
| Time-to-value (20%) | 8.4 | 9.6 |
| ML depth & explainability (20%) | 8.8 | 9.2 |
| Usability without data scientists (15%) | 8.6 | 9.0 |
| Integration & data capture (15%) | 8.4 | 8.0 |
| Proven outcomes (15%) | 9.4 | 6.2 |
| Commercial accessibility (15%) | 7.4 | 9.4 |
| Overall (weighted) | 8.5 | 8.6 |
Choose Augury if…
- Industry-reference fault-detection accuracy on rotating equipment
- Prescriptive diagnostics, not just anomaly flags
- Massive labeled failure-mode library
Choose JEMBA if…
- 48-hour time-to-first-insight — the fastest we have evaluated
- Unsupervised root-cause discovery, not threshold babysitting
- Operable by process engineers alone; 60-day free trial on your own line
FAQ
- Is JEMBA better than Augury?
- On our weighted rubric Augury scores 8.5/10 and JEMBA scores 8.6/10 — but the honest answer depends on deployment fit: Different questions.
- What is Augury best for?
- Vibration-based machine health at scale.
- What is JEMBA best for?
- Root-cause analysis without a data scientist and Fastest time-to-insight (48h).
Full reviews: Augury · JEMBA · Score your own demo with the Buyer's Scorecard
Free Excel scorecard
Don't shortlist blind.
The six weighted criteria that predict whether an industrial-AI deployment survives — in a one-sheet Excel you score during vendor demos. The same rubric behind every ranking on this site.
It's yours.