Z Advanced Computing, Inc.
Distruptive detailed 3D Image Recognition
based on brain-inspired
Cognitive Explainable-AI (CXAI)
The only company in the world to achieve AI training with only few samples (typically 5 to 50), similar to humans:
The pathway to Level-5 Autonomous Driving
&
A fundamental element of Artificial General Intelligence (AGI)
ZAC efficient algorithms need much less hardware (CPU / GPU), energy (Carbon footprint), and cost.
Proven Technology
ZAC was awarded $25M contract from US Air force (Feb 2026).
Today's Challenge
Various industries have major problems with the current AI/ML tech:
(e.g., Neural Nets, such as Deep Convolutional Neural Net (CNN), ResNet / Deep Learning, GAN, Transformer, LLM)
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needs too many training samples, which is expensive and hard to get
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inaccurate, flakey, and fragile output/ result
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needs expensive hardware (large GPU servers), with large physical footprint
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needs lots of energy/ battery, with large Carbon footprint, which is both expensive and bad for the environment
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fails to recognize objects beyond generic categories and classifications
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fails to detect one-offs or learn rare events
"We are removing limitations in image recognition...We have figured out how to apply Cognitive Explainable-AI to Machine Learning, for the first time in the industry, which beats Neural Networks."
Bijan Tadayon, PhD, JD
CEO & Co-Founder, ZAC
What We Do
ZAC disruptive 3D Image Recognition & Search based on Cognitive Explainable-AI (CXAI)
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​​developed and demonstrated, e.g., in projects for Bosch/ BSH and US Air Force, including Intelligent Tracking with Video Summarization
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mimics how humans discover, recognize, and learn, using Concept Learning
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enables powerful Situational Awareness, e.g., with applications in autonomy and actionable monitoring​​​​
Major advantages over other AI/ML algorithms (e.g., Neural Nets)
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higher accuracy (more robust/ reproducible)
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using only a few training samples (typically 5 to 50) (instead of 1000s, millions, or billions)
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recognizes fine details of objects from any view direction (in 3D) in still image or video
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requires much less computation resources (CPU/ GPU) to run, which costs much less
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requires much less energy/ battery, with less Carbon footprint, which costs much less & also much better for the environment
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a major impact on data centers and their energy requirements
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much smaller physical footprint (ideal for mobile or edge computing)
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reusable, modular, cumulative, and scalable learning​​
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Abstraction & Generalization of Concepts
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Multi-Modal Learning & Recognition​
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discovery of one-offs, rare events, and anomalies
ZAC major AI/ML tech breakthroughs
(Based on US Air Force and Bosch / BSH Projects)
click to zoom
Our horizontal platform features tools and APIs to enable wide variety of vertical applications and industries to take advantage of the platform's efficient, detailed, and accurate recognition and search within video or still images, e.g., for medical imaging/diagnosis, drug discovery, e-commerce/retail, search engine, referral and ad networks, social networks, smart city, smart home/appliance, defect and anomaly detection for manufacturing and construction, learning machines, data mining, knowledge extraction & analytics, big data (e.g., generated from sensors, cameras, wearables, or IoTs), video summarization or search, situational awareness (SA), self-driving/autonomous vehicles, biometrics, security, surveillance and monitoring, aerial and satellite images, and military and intelligence applications.
ZAC owns a very strong IP portfolio with over 450 inventions, including 14 issued US patents.
Get in Touch
For Technology Demo and Licensing (ordering), please contact us.
Z Advanced Computing™ (ZAC)
Maryland, USA
(301) 294-0434