This document describes a new technology called Cogito that can enable truly intelligent machines. Cogito uses a neuromorphic approach to provide real-time learning and analytics with low and predictable latency in a scalable and compact package. It is energy and bandwidth efficient with an optimum cost of ownership. Cogito-enabled machines can learn and think. The technology provides an extremely fast, low power and low cost pattern learning and recognition solution that can be applied to industrial applications like visual inspection and predictive maintenance. It puts the cognitive power of a data center into a credit-card sized module.

1. The plug-in brain that makes machines truly intelligent
Benefits of our true neuromorphic approach:
Real-Time learning and analytics
Low and predictable latency
Scalable & Compact
Energy and Bandwidth efficient
Optimum Cost of Ownership
Cogito-enabled machines can learn and think
Our Opportunity
The problem we solve
Even the most advanced machine learning and
classification technologies, based on software
running on powerful computers are slow, power
hungry, extremely expensive and difficult to
maintain. They are also incapable of “on-the-job
training” which is a major requirement of
industrial customers.
This is due to the limits of current computer
architectures, also known as the Von Neumann
bottleneck. Current computers are perfect for
mathematical calculations but totally inadequate
for cognitive tasks. This forces industries to
process large amounts of data in the Cloud, which
leads to inadequate latencies, high costs, large
power and bandwidth consumptions as well as
serious safety and confidentiality issues.
Our Solution
Cogito’s true neuromorphic technology provides
an extremely fast, low power and low cost pattern
learning and recognition solution. Its bio-inspired
architecture allows natively parallel, content
based information analytics. In addition, its
perception of the “unknown” can trigger
learning. It can be applied to a large set of
industrial applications, from visual inspection to
highly complex multi-sensor, non-linear predictive
maintenance. It can not only replace the
technology used in current equipments, making
them more affordable and therefore more
pervasive, but it also enables many new
applications such as intelligent robots, smart-
machines, smart-factories, smart-buildings, IoT,…
The cognitive power of a data center in a credit-card size module