Senslytics Corporation [[File:Senslytics_Logo_Registered.png|alt=Senslytics Logo Registered|thumb|320x320px]]
| ISIN | 🆔 |
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| Industry | Artificial intelligence |
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| Headquarters 🏙️ | Atlanta, Georgia, United States |
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| 🌐 Website | [Lua error in Module:WikidataIB at line 665: attempt to index field 'wikibase' (a nil value). ] |
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Intuition AI is a Causal AI framework that iterates experts’ hypotheses to build a scientific fabrication to forewarn rare events in geological, biological, and chemical systems. The technology is developed by Senslytics Corporation. [1] Founded to overcome some of the challenges of classical Machine Learning, [2] Senslytics' main focus is on interpreting state changes in natural systems that can lead to high stake consequences. [3] In 2019, Senslytics partnered with Shell GameChanger [4] and delivered wireline sample contamination forewarning application using Intuition AI. [5] The AI application has the potential to save millions of dollars by optimizing formation testing operation and de-risking the collected sample fluid quality. [6] [7] Senslytics applied its Intuition AI jointly with Chevron to solve reservoir characteristics estimation where situational dependencies can confound the results.[8] Intuition AI is a proprietary technology built on multiple patents.[9] [10] [11] [12] Senslytics is funded by Cortado Ventures. [13] [14]
References
- ↑ "Senslytics Corporation".
- ↑ Baker, Nathan; Alexander, Frank; Bremer, Timo; Hagberg, Aric; Kevrekidis, Yannis; Najm, Habib; Parashar, Manish; Patra, Abani; Sethian, James; Wild, Stefan; Willcox, Karen; Lee, Steven (2019). "Basic Research Needs for Scientific Machine Learning". A report from Department of Energy Advanced Scientific Computing Research. doi:10.2172/1478744. OSTI 1478744. Unknown parameter
|s2cid=ignored (help) - ↑ Chakraborty, Rabindra (9 May 2023). "Rabindra Chakraborty., "A Hypotheses Iteration Based Scientific Learning Framework for Rare Events"". doi:10.2139/ssrn.4442935. SSRN 4442935 Check
|ssrn=value (help). - ↑ "Shell GameChanger".
- ↑ "Why Do O&G Majors Invest in Startups". Economic Journal. 13 September 2019. Retrieved 2019-09-13.
- ↑ Jacobs, Trent (May 20, 2019). "Shell Partners with Startup to Get a Better Taste of the Reservoir". Journal of Petroleum Technology. Retrieved May 20, 2019.
- ↑ Chakraborty, Rabindra; Dong, Chengli; Elshahawi, Hani; Smith, Jeroen; Ramaswami, Shyam (2022). "Optimizing Focused Reservoir Fluid Sampling Using a Deterministic Causation Artificial Intelligence Intuition Technology". OnePetro. doi:10.2118/210091-MS. Retrieved 2022-09-26. Unknown parameter
|s2cid=ignored (help) - ↑ "Rabindra Chakraborty, Mayank Malik, Scott Hanson, Lorelea Somano, and Saptarshi Dasgupta. "Improved Estimation of Net Pay and Gas To Oil Ratio Using Intuition AI", accepted for presentation, SPE Annual Technical Conference and Exhibition, Houston, Texas, USA, October 2023 paper number: SPE-214943-MS".
- ↑ "Data insight and intuition system for tank storage". USPTO Patent # 10,061,833. 2018-08-18.
- ↑ "Methods and systems correlating hypotheses outcomes using relevance scoring for intuition based forewarning". USPTO Patent 11,226,856. 2022-01-22.
- ↑ "Method of intuition generation". USPTO Patent # 10,073,724. 2018-09-11.
- ↑ "Method of intuition generation". USPTO Patent # 10,445,162. 2019-10-15.
- ↑ "Cortado funds Senslytics: Predicting the future with artificial intelligence". Cortado Ventures. 2022-05-17.
- ↑ "Rabindra Chakraborty, Chengli Dong, Hani Elshahawi, Jeroen Smith, and Shyam Ramaswami. "Optimizing Focused Reservoir Fluid Sampling Using a Deterministic Causation Artificial Intelligence Intuition Technology." Paper presented at the SPE Annual Technical Conference and Exhibition, Houston, Texas, USA, October 2022". 26 September 2022. doi:10.2118/210091-MS. Unknown parameter
|s2cid=ignored (help)
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