Case Study

Intelligent Predictive Maintenance

American Robotics serves the Oil/Gas industry with autonomous drone-in-a-box systems for predictive maintenance. Dynam developed an AI system to improve accuracy with an irradiance (physics) trained model to detect oil with 99% accuracy and avoiding false positives.  Oil looks like other substrates such as wet dirt.

PRESS RELEASEAmerican Robotics Website
Ondas Holdings American Robotics
“Dynam’s data science team of physicists have us well-positioned in the coming months to pioneer a suite of predictive analytics from drone-acquired image/video data for our clients.”~ Reese Mozer, Founder and CEO, American Robotics
Dynam.AI | Adaptive AI That Gets Smarter Over Time

In the News

Dynam.AI Named to 2022 Gartner® Cool Vendor™ List for Simulation in AI

Dynam.AI, an artificial intelligence (AI) development firm with next-generation Adaptive AI technologies today announced that it has been named a Cool Vendor by Gartner. Gartner delivers actionable, objective insight to executives and their teams. Their expert guidance and tools enable faster, smarter decisions and stronger performance on an organization’s most critical priorities. In a report titled, “Cool Vendors for Simulation in AI” by Anthony Mullen, et al, Gartner authors stated that “simulation technologies can help AI practitioners scale the volume and variety of AI models produced as well as reducing risk and technical debt.”

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How to Make AI Smart Enough for Metalworking

Metalworking, like many other areas of the manufacturing sector, is under extreme pressure to increase efficiency and productivity while reducing costs in order to innovate and compete globally. Artificial intelligence (AI) has a lot of potential to achieve these goals by automating areas like predictive maintenance, process optimization, anomaly detection and workplace safety. However, as Dynam.AI’s Diana Shapiro and Dimitry Fisher write, many industry leaders have learned that not all AI is created equal.

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Dynam.AI Brings ‘Unfair Advantage’ to Machine Learning Market

With its patent pending CAML technology, Dynam.AI has an “unfair advantage” over its competitors in the data analytics and machine learning space.

“Our fundraising advisor came up with that term because there is nobody else doing this,” said Dynam CEO Diana Shapiro. “When bringing on a client, we can solve problems that are unsolvable without our technology.”

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Robotics 24/7 – Dynam.AI Launches Contextual Machine Learning Approach for Robotics Autonomous Services

Dynam.AI today said its Context Augmented Machine Learning, or CAML, software capability is now available. CAML uses what the company called “scientific first principles” and the laws of physics, human behavior, and macroeconomic conditions for more accurate models and analytics. Dynam.AI has partnered with industrial drone provider American Robotics, which uses artificial intelligence and CAML to detect and identify potential oil and gas leaks.

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Dynam.AI Unveils Revolutionary Contextualized Machine Learning Capability

Dynam’s Adaptive AI and Simulation systems include Context-augmented machine learning (CAML) capable of producing trained AI models that can understand subject matter expertise which is critical in replicating human-like predictive reasoning. Examples of relevant subject matter expertise includes propensity to trigger human behavior, biology markers for disease, and economic factors that impact supply/demand. understand subject matter expertise and use this knowledge to interpret data and make critical predictions and recommendations.

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Dynam.AI Awarded 2022 Red Herring Top 100 Global Company

“Choosing the companies with the strongest potential was by no means a small feat this year” said Alex Vieux, publisher and CEO of Red Herring. “After rigorous contemplation and discussion, we narrowed our list down from hundreds of candidates from across the globe to the Top 100 Winners. We believe Dynam.AI embodies the vision, drive and innovation that define a successful entrepreneurial venture. Dynam.AI should be proud of its accomplishment as the competition was very strong.”

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