Benchling Biotech System of Record
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The $210M/year GitHub of biotech
Prior to Benchling, researchers relied on paper notebooks, email, and Excel to manage increasingly complex workflows, limiting collaboration and slowing the pace of new drug development.
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Benchling mattered because it turned scattered lab work into a shared system of record. Before tools like this, a scientist might design DNA in one file, record protocol steps in a paper notebook, email results to a teammate, and track samples in a separate spreadsheet. That made it hard to trace what happened, reuse prior work, or hand an experiment from discovery to development without delays and errors.
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Benchling’s core modules map directly to the old patchwork. Notebook replaces handwritten experiment logs. Registry tracks plasmids, cell lines, and antibodies. Inventory shows where physical samples are stored. Workflows connects tasks and handoffs across teams.
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The pain got worse as biotech shifted toward CRISPR, gene therapy, and cell therapy. These programs involve long DNA and protein sequences, many sample versions, and repeated design, test, and analysis loops, which are much harder to manage in email threads and Excel files.
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Older alternatives were usually point tools or in house systems. Benchling’s edge was putting experiment notes, biological entities, sequence design, and downstream process steps in one cloud system, so data entered at the bench could be searched, reused, and audited later.
The next phase is deeper standardization of biology as an engineering workflow. As more labs run regulated development, automation, and AI on top of experimental data, the winning software will be the system that captures each experiment cleanly at creation and carries that data forward into manufacturing and compliance.