Themis AI

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Themis AI is a Coding & Development tool that makes AI models safe and reliable. Its Capsa platform quantifies model uncertainty and de-risks outputs, ensuring quality assurance and compliance.

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At a glance

Pricing

Likely Not Free

Free tier

API

Yes

Skill level

Technical

About

What is Themis AI?

Themis AI offers Capsa, a model-agnostic uncertainty quantification platform designed to make any AI model safe and reliable. Capsa seamlessly integrates with existing ML models, such as those built with PyTorch and TensorFlow, allowing developers to quantify model uncertainty and de-risk outputs in seconds. This technology helps detect and correct unreliable outputs, ensuring consistent high-quality results across various applications. Key use cases include reducing costs in drug discovery through uncertainty-guided predictions, enabling risk-aware human intervention for autonomous vehicles, and detecting hallucinations in generative models. Themis AI focuses on providing robust AI quality assurance and compliance.

Best used for

Ideal for developers and data scientists who need to ensure the safety and reliability of their AI models, de-risk outputs, and detect hallucinations. Especially valuable for applications in drug discovery, autonomous driving, and generative AI where uncertainty quantification is critical for quality assurance and compliance.

Common actions

quantify model uncertainty

de-risk AI outputs

ensure AI reliability

detect model errors

Capabilities

Key features

Uncertainty quantification
Model-agnostic platform
PyTorch integration
TensorFlow integration
De-risk AI outputs
Detect unreliable outputs
Hallucination detection

Target Audience

developerdata scientistproduct manager

Integrations

pytorchtensorflow

Pricing & Plans

Likely Not Free

Not publicly disclosed. Check themisai.io for current pricing.

FAQs

What is Capsa and how does it integrate with existing AI models?

Capsa is Themis AI's proprietary, model-agnostic platform for uncertainty quantification. It integrates seamlessly with existing machine learning models, including those built with PyTorch and TensorFlow, by wrapping your model. This allows it to quantify uncertainty and de-risk outputs without requiring significant changes to your existing code.

What types of AI models can Capsa be used with?

Capsa is designed to be model-agnostic, meaning it can be used with any ML model. The website specifically highlights examples with PyTorch and TensorFlow, demonstrating its compatibility across various deep learning frameworks and model architectures for diverse applications.

How does Capsa help with AI quality assurance and compliance?

Capsa quantifies model uncertainty, enabling users to detect and correct unreliable outputs. This capability is crucial for AI quality assurance, as it helps ensure consistent, high-quality results. By de-risking model outputs, Capsa also supports compliance requirements for safe and reliable AI deployment in sensitive domains.

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