Undisclosed
AGICortex – Robotic Intelligence company
What if for AI in autonomous machines you need something very different, than cloud services?
You need a fully autonomous operation, automation of data processing, low latency, real-time learning, privacy, reliable and explainable decision making.
We designed from scratch a technology that is optimized for autonomous machines in the physical world.
RoboticIntelligence
RoboticIntelligence
RoboticIntelligence
RoboticIntelligence
Autonomous General Intelligence through reverse-engineering the brain
Vision for the near future
0104
Fully autonomous operation
» From data collection, perception to learning, reasoning and decision making
Multiple data types
» Combination of visual, audio and other types of data to increase accuracy
Explainable AI
» Clear understanding of how machines learn and decide what to do
Extended decision models
» Decision models for perception, reasoning, and action based on the current internal & external state
“Deep learning is an amazing technology and hugely useful in itself, but in my opinion it’s definitely not enough to solve AI, [not] by a long shot”
“My view is throw it all away and start again, I suspect that means getting rid of back-propagation.(…) We clearly don’t need all the labeled data.”
“We need systems that can handle changes and do continual learning, lifelong learning and so on (…) This is a long-standing goal for ML”
Company board
Our company is managed
by people with 15+ years of experience
in successful Software and Business Management
2014
Start of initial research about neuroscience and self-organizing neural networks
2017
First early prototype of AutoML framework with continuous real-time learning
2018
Creation of realistic path to AGI – an architecture of Autonomous General Intelligence
2019
Focus on Computer Vision applications, stereo vision and computation optimizations
2020
Company launch and first investment acquired – development of 3D Neural Nets
2021
Second investment and start of Object recognition with Continuous Learning R&D Project
Open positions
