Engivent is building the experimental feedback layer for AI biology.

As generative models flood biology with candidate molecules, the winning teams will be those that can test, learn, and improve fastest in the real world. Engivent enables high-throughput, closed-loop experimentation through automated microfluidic workflows — helping AI protein design, enzyme engineering, and therapeutic discovery teams generate structured, model-relevant datasets, explore biological parameter spaces faster, and shorten design-build-test cycles.

By integrating multiplexed assay execution, programmable automation, and traceable experimental metadata, Engivent turns biological experimentation into a scalable data engine for protein, antibody, peptide, and synthetic biology workflows.

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Engivent

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