Drug Discovery

Faster Timelines, Reliable Outcomes

Faster Timelines, Reliable Outcomes

Powering drug discovery with scalable, model-agnostic AI workflows

Faster, accurate, more computational throughput

Reliable & Reproducible AI Processes

Reliable & Reproducible AI Processes

Engineered for step-change advancements in traditional AI-driven drug discovery techniques.

Model speed and swappabilty

Model speed and swappabilty

Achieve rapid AI model execution, running AlphaFold2 at 22x the speed of commercially available versions on similar hardware.

Collaboration for engineers and scientists

Collaboration for engineers and scientists

Enables biochemists, clinical development teams, and executives to gain real-time insights and accelerate breakthroughs.

Accelerating Advancements

Faster, Yet More Reliable Protein Folding

Achieve significantly reduced timelines for protein folding with 22x faster AlphaFold2, without compromising accuracy or reproducibility.

Reproducible Model Performance at Scale

Ensure consistent and dependable results in drug discovery workflows with our HPC-engineered platform.

Expert-Guided AI Pipelines

Leverage AI pipelines designed and validated by our team of specialized AI engineers and biomedical experts, ensuring biological relevance and reliability.

Transparency for Confidence & Reproducibility

Enhance confidence in your research with real-time visualization and transparent checkpoints, promoting reproducible scientific findings.

Run Alphafold 22x faster on Salt to accelerate discovery

Real-World Data Applications in Clinical Development

Faster, more reliable protein folding without compromising on accuracy or reproducibility.

“Since we met the team almost a year ago, Salt AI’s platform has helped us to innovate at rapid speed in designing new therapeutics for cancer.”

Dr. David Agus

CEO of the Ellison Medical Institute

“Since we met the team almost a year ago, Salt AI’s platform has helped us to innovate at rapid speed in designing new therapeutics for cancer.”

Dr. David Agus

CEO of the Ellison Medical Institute

“Since we met the team almost a year ago, Salt AI’s platform has helped us to innovate at rapid speed in designing new therapeutics for cancer.”

Dr. David Agus

CEO of the Ellison Medical Institute

Our AI Models

Beyond LLMs, we support the best-in-class life sciences research models in our always updated model library

  • Folding

    AlphaFold2 (22x Faster)

    Salt accelerates AlphaFold2 inference by 22x, significantly improving its speed. AlphaFold2 is a deep learning model that predicts protein structures from amino acid sequences with high accuracy.

    Diffusion

    Chroma

    Chroma is an open-source, embedding database designed to make it easy to build AI applications with embeddings. It allows you to store, query, and manage embeddings alongside their metadata.

    Folding

    ColabFold

    ColabFold simplifies protein structure prediction by providing a user-friendly interface to run complex algorithms like AlphaFold2 and RoseTTAFold in Google Colab.

    Docking

    Haddock

    HADDOCK (High Ambiguity Driven protein-protein DOCKing) is a flexible docking approach used for modeling biomolecular complexes.

    LLM

    Llama3

    Llama 3, also developed by Meta, is a next generation open source LLM, with improved reasoning, and code generation.

    Protein Sequence

    ProteinMPNN

    ProteinMPNN is a deep learning method for protein sequence design, finding sequences that match a given protein backbone structure.

Our AI Models

Beyond LLMs, we support the best-in-class life sciences research models in our always updated model library.

  • Folding

    AlphaFold2 (22x Faster)

    Salt accelerates AlphaFold2 inference by 22x, significantly improving its speed. AlphaFold2 is a deep learning model that predicts protein structures from amino acid sequences with high accuracy.

    Diffusion

    Chroma

    Chroma is an open-source, embedding database designed to make it easy to build AI applications with embeddings. It allows you to store, query, and manage embeddings alongside their metadata.

    Folding

    ColabFold

    ColabFold simplifies protein structure prediction by providing a user-friendly interface to run complex algorithms like AlphaFold2 and RoseTTAFold in Google Colab.

    Docking

    Haddock

    HADDOCK (High Ambiguity Driven protein-protein DOCKing) is a flexible docking approach used for modeling biomolecular complexes.

    LLM

    Llama3

    Llama 3, also developed by Meta, is a next generation open source LLM, with improved reasoning, and code generation.

    Protein Sequence

    ProteinMPNN

    ProteinMPNN is a deep learning method for protein sequence design, finding sequences that match a given protein backbone structure.

Our AI Models

Beyond LLMs, we support the best-in-class life sciences research models in our always updated model library

  • Folding

    AlphaFold2 (22x Faster)

    Salt accelerates AlphaFold2 inference by 22x, significantly improving its speed. AlphaFold2 is a deep learning model that predicts protein structures from amino acid sequences with high accuracy.

    Diffusion

    Chroma

    Chroma is an open-source, embedding database designed to make it easy to build AI applications with embeddings. It allows you to store, query, and manage embeddings alongside their metadata.

    Folding

    ColabFold

    ColabFold simplifies protein structure prediction by providing a user-friendly interface to run complex algorithms like AlphaFold2 and RoseTTAFold in Google Colab.

    Docking

    Haddock

    HADDOCK (High Ambiguity Driven protein-protein DOCKing) is a flexible docking approach used for modeling biomolecular complexes.

    LLM

    Llama3

    Llama 3, also developed by Meta, is a next generation open source LLM, with improved reasoning, and code generation.

    Protein Sequence

    ProteinMPNN

    ProteinMPNN is a deep learning method for protein sequence design, finding sequences that match a given protein backbone structure.

Biology. Sooner.

Advance your understanding of biological processes faster with flexible and performant AI.

Biology. Sooner.

Advance your understanding of biological processes faster with flexible and performant AI.

Biology. Sooner.

Advance your understanding of biological processes faster with flexible and performant AI.