Manufacturing

Supply Chain and Manufacturing Optimizations

Supply Chain and Manufacturing Optimizations

Offering the flexibilty needed to assemble disparate datasets and custom models to fine tune operational performance

Accelerating Advancements

Supply Chain Digital Twins

Multi-node workflows can be rapidly spun up incorproating internal datasets and custom optimization models

Process Optimization

Specialized algorithms can be readily linked to MES process data without vendor lock-in

Data-Driven Demand Forecasting

Analytics packages on top of supply chain data provide insights to commercial and planning teams

Continuous Improvement

Combined platform drives opertional efficiency across the supply chain, with computational influence pushing for continually increasing performance

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.