API Experiments Pricing Resources Docs Get Started

Human Thinking AI Innovation

Solving problems from a human perspective, using the intelligence and precision of AI technology.


Learn More


Limitless possibilities

We are researching and testing AI in various fields to help solve problems from a human perspective and standpoint.


Spacelens

A set of AI models relating to the field of astronomy.

Bioset

A set of AI models relating to biology, and medical fields.

Helix

A set of AI models relating to the field of cybersecurity.

Dungen

A set of AI models relating to name generation in the style of games.

Usage

You can use our models through our API or HuggingFace.

We're not stopping there

With so many more fields that can benefit from using artificial intelligence we hope to expand the tech to help farmers make cost-effective choices, help communities improve sustainability, and help build better infrastructure.

Helping farmers make cost-effective decisions, improving crop yields.


Helping communities improve food security and overall sustainability.


Helping to discover new areas of research in chemistry, astronomy, and biology.

AI Demos

Browse our active AI demos, also available on Hugging Face Spaces.


OPEN-ARC

Our biggest project yet. OPEN-ARC (Open-source Platform for Engineering Neural Architectures and Research Collaboration) is an open-source GitHub project which aims to further research into AI, via collaboration.

Datasets

Open-source datasets for your own AI projects, models, and testing. Our datasets are available for use via both GitHub, and Hugging Face Datasets.


  • PWLDS (Password Weakness and Level Dataset): PWLDS is a public dataset of over 10 million passwords with varying assigned strength levels. The dataset was designed to help researchers, security professionals, and developers analyze password strength and build more secure systems. Use on Hugging Face Datasets or GitHub.
  • CRSD (Customer Review Sentiment Dataset): CRSD is a synthetic dataset designed for sentiment analysis tasks. It consists of approximately 6,500 customer reviews, each labeled with a sentiment category: positive, neutral, or negative. These reviews were generated using a variety of AI language models to ensure diversity and realism in language style and content. The inclusion of multiple models enhances the dataset's robustness and provides insights into the performance of different generative AI systems. Use on Hugging Face Datasets or GitHub.

This is a custom popup.

Alert

This is a custom alert box.