The decision | maker

GAIA is a high-intelligent, autonomous, software decision making framework part of the Octonion platform.
Thanks to its system architecture and tools, it can react & interact to live data
coming from connected devices by taking the needed or defined decision to perform.
GAIA’s decisions are based on state-of-the-art machine
learning methodologies for pattern recognition including:

Statistical data
analysis

Artificial neural
networks

Clustering
(unsupervised learning)

Lifecycle & artefacts

GAIA never stops improving itself.
It has developed tools to maintain its lifecycle to continuously build and
update its data model for better prediction and analysis.
Sensing
the data

Sensing up to 13 dimension of millions of bytes.

Make data fusion and structuring metadata from raw data.

Logging & Storing
the data

Robust data storage using industry standards database technologies.

Assisted dataset structuring and qualification with video and audio.

Building the model
from the data

Training and improving of recognition model for motion, video or sound analysis

Automatic self-testing for self-verification and self-quality scoring

IoT integration
overview

Solving IoT
problematics

GAIA can dramatically improve experience of different IoT domains using all the best approaches from classical machine learning (ML) to artificial intelligence (AI):

  • Ability to recognize various patterns in real-time from live data.
  • Handling of predictive maintenance and machinery malfunction.
  • Monitoring of system conditions and raising of generalized notification like “malfunction, error handling…"
  • Ability to predict failures in complex industrial system.
  • Introducing security and prediction aspects into IoT system typically in car accidents or anti-crime visual technologies.
  • Ability to adapt its data patterns to continuously changing environmental conditions.