Themis AI is a software development company focused on addressing critical challenges in artificial intelligence, particularly the problems of unreliable outputs and hallucinations in AI models. Themis AI offers Capsa, a proprietary product platform that automatically integrates compute-efficient uncertainty quantification into any AI model, allowing software developers to assess and reduce the risks associated with their AI systems.
How does Themis AI help make AI more reliable?
Themis AI’s main product, Capsa, enables AI models to quantify their own uncertainty and flag potential errors or hallucinations. By surgically updating the architecture of existing models in seconds, Capsa empowers machine learning engineers to implement quality assurance directly in their workflows. This allows organizations to:
- Automatically detect when an AI model may be producing unreliable or incorrect outputs.
- Reduce the costs and complexity of developing and running safe AI models by optimizing compute efficiency (saving on AI chips and cloud resources).
- Accelerate time to market for AI solutions with built-in reliability features.
Who uses Themis AI?
While specific customer names have not been disclosed, Themis AI targets software developers, machine learning engineers, and organizations deploying AI models who need to ensure the reliability and safety of their AI systems. Their solutions are relevant for industries where AI reliability and transparency are critical, such as healthcare, finance, and enterprise software.
How was Themis AI started?
Themis AI was founded in 2021 as a spinoff from the MIT Computer Science and Artificial Intelligence Laboratory. The founding team—Dr. Daniela Rus, Dr. Alexander Amini, and Elaheh Ahmadi—leveraged over a decade of foundational research to develop Capsa. Their expertise in machine learning and AI safety informs the company’s approach to building trustworthy AI tools.
What sets Themis AI apart?
Themis AI differentiates itself by providing a solution that can be integrated into any AI model architecture within seconds, adding the ability for those models to self-assess their output’s reliability. This approach helps unlock AI’s potential in new industries while making robust quality assurance more accessible and cost-effective.
To learn more about their mission and background, visit their About page.
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