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# Benchling Model Hub

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  1. Benchling

    Benchling puts agent teams inside R&D workflows: in a recombinant protein foundry, agents draft the design, place the order, run instruments and write the report

    At Benchtalk 2026, Benchling launched Science Foundries, where teams of AI agents work alongside scientists across a full R&D workflow rather than speeding up a single step. In a recombinant protein foundry, one agent drafts the cloning design, another orders from a CRO and calls Benchling Automation to run instruments, and an Analysis Agent writes the report, with a scientist signing off at every critical decision. The product is in preview for customers, and the company is building foundries with customers across target validation, screening, method development and biologics production.

    Benchling
    Science FoundriesBenchling Model HubBenchling AI product launch
  2. Benchling

    Benchling moves scientific AI models into the R&D record: structure predictions stop landing on a shared drive

    Benchling's Model Hub lets scientists discover, run and track scientific AI models inside Benchling, with each prediction's inputs, model version and timestamp wired back into the R&D record. Previously, running a model meant waiting for DevOps to stand up infrastructure, and results landed on a shared drive disconnected from the sequence that produced them. The hub currently carries structure prediction models including AlphaFold 2, Chai-1, Boltz-2, OpenFold 2, OpenFold 3 and Protenix, plus property prediction models such as Lilly TuneLab, Inductive Bio and open-source DeepSP, with batch prediction and a v3 alpha API.

    Benchling
    Benchling Model HubModel Hub product release

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