Commercialization

Supporting Omnichannel Analytics

Supporting Omnichannel Analytics

Workflows that combine CRM, CDP, online experience, media, and RWD into insights engines driving action on the ground

Accelerating Advancement

Real-time market sensing

Understand behvaiors of clinicains and patients across a range of touchpoints

Models Drive Action Across Channels

Coordianting customized action across the sales, marketing, and medical teams

Correlated Insights

New insights emerging from workflows that reach across a range of internal and external datasets

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.