Thomas M. Siebel
17Patents
6h-index
24Co-inventors
66Inventor score
Filing activity: Apr 8, 2003 → Dec 15, 2023
Most-cited inventions
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US10817530B2 | Systems, methods, and devices for an enterprise internet-of-things application development platform | Emerging Cross-Sectional Technologies | 51 | Active |
| US7364590B2 | Anatomical knee prosthesis | Human Necessities | 43 | Expired |
| US10824634B2 | Systems, methods, and devices for an enterprise AI and internet-of-things platform | Emerging Cross-Sectional Technologies | 15 | Active |
| US11126635B2 | Systems and methods for data processing and enterprise AI applications | Emerging Cross-Sectional Technologies | 14 | Active |
| US8123754B2 | Surgical jig | Human Necessities | 10 | Active |
| US11263703B2 | Systems and methods for anti-money laundering analysis | Physics | 7 | Active |
| US10884039B2 | Systems and methods for processing data relating to energy usage | Emerging Cross-Sectional Technologies | 6 | Active |
| US10296843B2 | Systems and methods for utilizing machine learning to identify non-technical loss | Electricity | 4 | Active |
| US9861489B2 | Knee prosthesis | Human Necessities | 4 | Active |
| US11954112B2 | Systems and methods for data processing and enterprise AI applications | Emerging Cross-Sectional Technologies | 3 | Active |
| US11320469B2 | Systems and methods for processing different data types | Emerging Cross-Sectional Technologies | 2 | Active |
| US12111859B2 | Enterprise generative artificial intelligence architecture | Physics | 2 | Active |
| US12265570B2 | Generative artificial intelligence enterprise search | Physics | 1 | Active |
| US11886843B2 | Systems and methods for utilizing machine learning to identify non-technical loss | Electricity | 0 | Active |
| US11449315B2 | Systems and methods for utilizing machine learning to identify non-technical loss | Electricity | 0 | Active |
| US12413608B2 | Enterprise cybersecurity AI platform | Physics | 0 | Active |
| US11810204B2 | Artificial intelligence transaction risk scoring and anomaly detection | Physics | 0 | Active |
Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.