Another Brain develops Organic AITM, a self-learning artificial intelligence inspired by the macroscopic functioning of the human brain, which operates efficiently without the need for large datasets. This technology enhances decision-making processes across various sensory modalities, providing a more human-friendly AI solution that is energy-efficient and capable of explaining its actions.
Funding
$36.7M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.


CCEFECGS+2Founders
Product
Problem
Current deep learning AI models require extensive datasets for training and are often energy-intensive, limiting their applicability in resource-constrained environments. These models can also lack transparency, making it difficult to understand and explain their decision-making processes.
Solution
Another Brain develops Organic AITM, a self-learning AI technology inspired by the macroscopic functioning of the human brain. Unlike traditional deep learning, Organic AITM operates efficiently without the need for large datasets, enabling deployment in scenarios where data is scarce or costly to acquire. The technology is designed to be energy-efficient and provides explainable AI (XAI) capabilities, allowing users to understand the reasoning behind its decisions. This approach aims to deliver a more human-friendly and responsible AI solution applicable across various sensory modalities.
Target Audience
The primary target audience includes companies and institutions seeking AI solutions that are data-efficient, energy-conscious, and transparent in their operations.
Features
- Self-learning algorithms that minimize reliance on extensive training datasets.
- Energy-efficient design for deployment on resource-constrained hardware.
- Explainable AI (XAI) features providing insights into decision-making processes.
- Adaptability to various sensory inputs, including vision, sound, and smell.
- Macroscopic brain-inspired architecture for enhanced efficiency and performance.