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Mechademy

Digital twins that predict turbine and compressor failures

Raised to date

$9.5M

of $9.5M offered across 1 Form D filing

Investors
11
Last filed
Mar 30, 2026

About

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.

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

  • EquityFiled Mar 30, 2026Form D/A
    $9.5M/ $9.5M

Product

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

Built for

Reliability and rotating-equipment teams at oil, gas and LNG operators, plus petrochemical, refining, power generation and fertilizer plants

People on file