This company develops Deep Meaning™, a novel AI framework focused on adaptability and real-world intelligence beyond conventional deep learning. Their agents build a stable world comprehension, enabling rapid generalization to new tasks with low energy consumption. Deep Meaning™ integrates into diverse applications, including robotics and AIoT, where data scarcity and speed are paramount.
Funding
$500K 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.
Founders
Product
Problem
Current AI systems often rely on extensive datasets and high energy consumption for training, limiting their adaptability and sustainability in real-world applications. Traditional deep learning approaches struggle to achieve true artificial general intelligence (AGI) capable of autonomous operation in dynamic and unpredictable environments.
Solution
Solid State of Mind is developing Deep Meaning, an AGI platform designed to adapt in real-time to changing environments while using significantly less energy and fewer training trials compared to conventional AI. Deep Meaning leverages insights from ethology, psychology, and neuroscience to create artificial cognitive architectures that enable systems to operate independently of cloud infrastructure. This approach allows for the creation of highly autonomous artificial workforces capable of performing a wide range of tasks, offering a sustainable and efficient alternative to narrow AI applications. The AGI is designed to be trainable, trustworthy, and sustainable, blending seamlessly into everyday human life.
Target Audience
The primary target audience includes industries seeking autonomous AI solutions for tasks currently performed by humans, as well as organizations looking for sustainable and energy-efficient AI alternatives.
Features
- Real-time adaptation to changing environments without retraining
- Low-power operation suitable for deployment on battery-powered devices
- Artificial cognitive architectures inspired by neuroscience and ethology
- Autonomous operation independent of cloud connectivity
- Explainable AI design for increased trust and transparency
- Focus on sustainability, minimizing energy consumption and data requirements