Company intelligence
EmPact Artificial Intelligence
Identification of what cannot be seen, translated into profitable action.
About EmPact Artificial Intelligence
Multiple industries have a need to identify, pinpoint, evaluate problems just below ground. Traditionally companies had to rely on old, possibly inaccurate maps, excavation, and trial and error to locate issues below ground. With non-productive time costing as much as millions per day for certain industries, companies cannot afford schedule delays. EmPact provides a groundbreaking solution utilizing the mathematics of imaging by application of 3D machine learning tasks and reduces cluster requirements for larger data sets. Our multi-faceted expert team has it's roots in the energy, industry. EmPact.AI partners have more than 80 years of combined experience in both technical and corporate environments. Each of our AI solutions are 'white box".
Verified activity
Signals from EmPact Artificial Intelligence
5 published signals
Research & Knowledge
EmPact Artificial Intelligence predicted locations were within 3 ft of Fugro’s confirmed drill-bit penetrations.
Reported by Souvik Mukherjee
Research & Knowledge
EmPact Artificial Intelligence imaged an 8-inch buried pipe using drone-based magnetic data at Texas A&M University’s RELLIS campus.
Reported by Souvik Mukherjee
Research & Knowledge
EmPact Artificial Intelligence demonstrated offshore, onshore, underwater, and aerial imaging of buried and submerged infrastructure using magnetic field data.
Reported by Souvik Mukherjee
Research & Knowledge
EmPact Artificial Intelligence used ROV-based magnetic data to locate oil-producing conductors buried beneath 400 ft of water and another 130 ft of sediment in collaboration with Kraken Robotics, Couvillion Group, and Ocean Floor Geophysics.
Reported by Souvik Mukherjee
Research & Knowledge
EmPact Artificial Intelligence trained a model for Geonics Limited’s EM61 system to provide 3D results on a 6m x 6m patch of acquired data at 50 cm and 25 cm cell size resolution in ~1 second on a standard single-GPU processor.
Reported by Souvik Mukherjee