SPECIAL NOTICE
70 -- TECHNOLOGY LICENSING OPPORTUNITY: SmartTensors AI
- Notice Date
- 12/5/2025 8:09:30 AM
- Notice Type
- Special Notice
- NAICS
- 541715
— Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)
- Contracting Office
- TRIAD - DOE CONTRACTOR Columbus OH 43201 USA
- ZIP Code
- 43201
- Solicitation Number
- S-133364
- Response Due
- 12/20/2025 4:00:00 PM
- Archive Date
- 01/04/2026
- Point of Contact
- Satya Srinivasan
- E-Mail Address
-
licensing@lanl.gov
(licensing@lanl.gov)
- Small Business Set-Aside
- NONE No Set aside used
- Description
- Crucial signals can be overlooked in big data. Los Alamos National Laboratory has developed software�SmartTensors AI Platform�that uses unsupervised machine learning to sift through massive datasets and identify hidden trends, mechanisms, signatures, and features buried in large high-dimensional data tensors (multi-dimensional arrays). Recognizing data dependencies facilitates the discovery of new phenomena and new mechanisms, which enables informed decisions. SmartTensors transforms and compresses hundreds of trillions of data bytes into manageable pieces of information. Applications include analyses in medicine, disease spread and prediction, energy extraction, carbon sequestration, climate change, economics, infrastructure stability, anomaly detection, and national security. LA-UR-21-26550 https://tensors.lanl.gov/ R&D100 Award Winner 2021: https://youtu.be/ni3EgQVypbQ LANL Tech Partnerships: Unlock the Innovative Potential Los Alamos National Laboratory offers a wide range of cutting-edge technologies and capabilities that may provide your company with a competitive edge in the market and unlock the innovative potential that can enhance, refine, and revolutionize your products. LANL�s licensing program focuses on moving inventions developed by our researchers to commercial innovations. Patented and patent pending inventions and copyrighted software are available to existing and start-up companies through exclusive and non-exclusive licensing agreements. For specific discussions, please contact licensing@lanl.gov. Note: This is not a call for external services for the development of this technology. https://www.lanl.gov/engage/collaboration/feynman-center/partner-with-us/licensing-technology https://www.lanl.gov/engage/collaboration/feynman-center/tech-and-capability-search
- Web Link
-
SAM.gov Permalink
(https://sam.gov/workspace/contract/opp/0198f944943948c29d0c1b6ac12e9a19/view)
- Place of Performance
- Address: Los Alamos, NM 87545, USA
- Zip Code: 87545
- Country: USA
- Zip Code: 87545
- Record
- SN07658542-F 20251207/251205230031 (samdaily.us)
- Source
-
SAM.gov Link to This Notice
(may not be valid after Archive Date)
| FSG Index | This Issue's Index | Today's SAM Daily Index Page |