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Salt

Accelerating Life Sciences Advancements. Biology. Sooner.

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Overview

Salt AI offers a next-generation development engine purpose-built for life sciences organizations. By enabling rapid adoption and operationalization of advanced artificial intelligence, Salt AI accelerates drug discovery and the understanding of biology. With a focus on data integrity, transparent collaboration, and reliability, the platform delivers a robust interface and extensive AI model library. Founded by leaders in high-performance computing, AI, and life sciences, Salt AI empowers teams to achieve faster, more efficient breakthroughs and sustain a competitive edge.

How It Works

  • Model Hot-Swapping: Easily integrate and interchange best-in-class AI models specifically trained for biology, accommodating ongoing advancements in computational techniques for drug discovery.
  • Optimised Performance: Every new model onboarded is tuned for speed, ensuring reduced compute costs and accelerated outputs.
  • Collaborative Workflows: Visual transparency and a node structure invite biochemists, clinical teams, executives, and more to collaborate in real-time, quality checking output at each workflow node and fostering interdisciplinary solutions.

Use Cases

Drug Discovery & Therapeutics Design
Accelerate the design of new treatments, such as cancer therapeutics, leveraging Salt AI’s suite of advanced biology models.
Protein Structure Prediction & Biomolecular Modelling
Use accelerated AlphaFold2 and HADDOCK models for rapid, high-accuracy protein structure prediction and biomolecular complex analysis.
AI-Driven Biological Understanding
Deploy powerful AI models and collaborative workflows to achieve deeper insights and breakthroughs in biological research.

Features & Benefits

  • Reliable & reproducible AI processes let you hot-swap state-of-the-art models for biology, ensuring your research benefits from the latest computational innovations.
  • Step-change in speed & efficiency thanks to highly optimised models (e.g., 22x AlphaFold2 acceleration) that reduce compute costs and improve output times.
  • Visual transparency & enhanced collaboration via real-time interaction and workflow nodes, engaging non-engineers in solution development.
  • Comprehensive & updated AI model library, including AlphaFold2, Chroma, ColabFold, Haddock, Llama3, and ProteinMPNN for diverse research needs.
  • Prioritised data integrity & reliability providing a secure, trustworthy platform foundation for critical life sciences research.

Target Audience

  • Computational biologists and engineers
  • Biochemists
  • Clinical development teams
  • Executives and stakeholders in life sciences
  • Organizations seeking AI-driven R&D breakthroughs and competitive advantage

Pricing

Pricing information is not provided in the available text.

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