Company Registry

QGNai Inc
Profile last edited on: 3/16/2022

Quantum geometric networks for Artificial Intelligence
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Location Information

83 Cambridge Parkway Unit W806
Cambridge, MA 02142
   (540) 429-6271
Multiple Locations:   
Congressional District:   07
County:   Middlesex

Public Profile

The principals of QGNai are organized around development of a novel machine learning platform (designated Categorifier) that is designed and intended significantly to improve the learning and decision-making of machines. Having broad applications in natural language processing, genomic research, drug discovery, cybersecurity, and robotics, Categorifier learns hidden relationships in the data - this might be an image, text, bio sequence, etc. - through a hierarchical structure resulting in deeper learning than state of the art. ? Using a proprietary recursive dimensional reduction technology, the platform coarse-grain initial datasets to discover their underlying dominant features at all levels. The invertibility of the architecture allows fine-tuning of coarse-grain data to generate new datasets based on latent variables. Categorifier's bidirectional generative design enables efficient classification, clustering, and explainability.

Extent of SBIR involvement

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Synopsis: Awardee Business Condition

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VC funded?
Privately Held
Stock Info
IP Holdings

Awards Distribution by Agency

Most Recent SBIR Projects

Year Phase Agency Total Amount Project Title
2021 1 NSF $255,531
Categorical Representation Learning in Artificial Intelligence

Key People / Management

  Marco Farsheed -- Cofounder & CEO

  Ahmadreza Azizi --

  Wenbo Fu -- Machine Learning Scientist

  Artan Sheshmani -- Cofounder & Chief Scientific Officer

  Yizhuang You -- Cofounder & Chief Technology Officer

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