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Mechademy

3 viewers · 30d

Total raised

$9.5M

1 filing since 2025 · latest Equity filed

Cumulative raised
LAST ROUND
Equity · $9.5M
ROUNDS
1
INVESTORS
11
FOUNDED
2022
HQ
Houston, TX
SECTOR
AI
EMPLOYEES
N/A
30D VIEWERS
3

AI overview

Updated

Mechademy is a Houston-based industrial analytics company that builds hybrid digital twins of rotating equipment for the oil, gas and LNG industries. Its Turbomechanica platform fuses physics-based turbomachinery performance models with machine learning and deep learning to detect equipment degradation days to months before failure. The platform is cloud-based and plugs into existing data historians and condition-monitoring systems without new hardware or sensors, and is sold across LNG, refining, upstream, midstream, offshore, petrochemical, power generation, CO2 re-injection and fertilizer operators.

What sets it apart

A hybrid approach that couples first-principles turbomachinery physics with deep learning, so monitoring stays automated without constant data labeling or rule tuning — reported to detect reciprocating compressor cylinder valve leakage with over 95% accuracy at roughly two weeks of lead time.

Funding history

1 round
EquityDec 11, 2025 · $20K min
Form D/A
+$9.5M$9.5M total

Latest SEC filings

via EDGAR · CIK 0001959862
Form D/A · Dec 11, 2025View on EDGAR

Products

1 tracked

Turbomechanica

Industrial predictive maintenance software

A cloud-based predictive and prescriptive analytics platform that builds hybrid digital twins of compressors, turbines, generators, pumps, gearboxes and full refrigeration trains, continuously reconciling expected against observed behavior to surface early degradation and prescribe corrective action.

  • Hybrid digital twins combining physics-based performance models with deep learning
  • Early fault detection and diagnosis with prescriptive insights
  • Coverage of steam turbines, gas turbines, compressors, generators, pumps and gearboxes
  • Integrates with existing data historians and condition-monitoring systems with no added hardware or sensors

Links

WebsiteLinkedInSEC EDGAR filings