Unlikely AI is developing neurosymbolic AI that combines large language models with symbolic reasoning to enhance the accuracy, trustworthiness, and explainability of automated systems. This approach addresses the opacity of traditional AI models, enabling users to understand and trust AI-generated outcomes.
Funding
$19.5M 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 lack transparency, making it difficult for users to understand how decisions are made. This opacity reduces trust and hinders the adoption of AI in critical applications where explainability is essential.
Solution
Unlikely AI is developing neurosymbolic AI that combines large language models with symbolic reasoning to create more transparent and trustworthy automated systems. By integrating the strengths of both statistical and rule-based AI, their approach aims to provide users with insights into the reasoning behind AI-generated outcomes. This hybrid methodology addresses the "black box" nature of traditional AI models, enhancing accuracy and enabling greater confidence in AI-driven processes. The company's technology seeks to make AI more reliable and understandable, paving the way for broader application across various industries.
Target Audience
The primary target audience includes organizations and individuals seeking more transparent, trustworthy, and explainable AI solutions for critical applications.
Features
- Combines large language models with symbolic reasoning for enhanced AI transparency
- Neurosymbolic approach integrates statistical and rule-based AI methodologies
- Aims to improve the accuracy and trustworthiness of AI-generated outcomes
- Provides insights into the reasoning behind AI decisions