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Where discovery accelerates.

Where discovery accelerates.Where discovery accelerates.Where discovery accelerates.

Where discovery accelerates.

Where discovery accelerates.Where discovery accelerates.Where discovery accelerates.

Building the experimental feedback layer for AI biology

Automated microfluidic workflows for high-throughput, closed-loop experimentation across protein engineering, therapeutic discovery, and synthetic biology.

Explore the Platform

Next generation infrastructure for programmable biology

Engivent is building infrastructure for an autonomous biology lab. Our platform combines standard lab robotics with modular microfluidic systems to run experiments as software-defined workflows. Scaling workflows from protein discovery and enzyme optimization to microbial screening and synthetic biology.


Biology has a validation problem

AI tools are generating candidate molecules faster than any lab can validate them. The bottleneck is no longer ideation — it is the speed and quality of real-world experimental feedback.


The teams that solve this will compress years of iteration into months. Engivent builds that capability — turning biological experimentation into a programmable, high-throughput, data-generating engine.

Three things that change the pace of discovery

Massively parallel experimentation

Massively parallel experimentation

Massively parallel experimentation

 Run hundreds of conditions simultaneously. Cover biological parameter spaces exhaustively in a fraction of the time conventional setups require.

Closed-loop workflows

Massively parallel experimentation

Massively parallel experimentation

 Connect execution, readout, and iteration in a single programmable workflow. Each experiment informs the next — compressing design-build-test cycles from months to days.

Structured, model-ready data

Massively parallel experimentation

Structured, model-ready data

 Traceable, standardised outputs — reproducible conditions, parameter-rich datasets ready for model training, validation, and analysis.

Where Engivent delivers value

Therapeutic protein discovery

High-throughput workflows for antibody screening, peptide optimisation, and therapeutic protein validation. Structured outputs ready for modelling and documentation. 

Enzyme optimisation and directed evolution

Exhaustive parameter sweeps across variant libraries and conditions. Kinetics and activity data that drives confident engineering decisions, faster. 

AI protein design validation

Close the loop between computational design and experimental reality. Structured, high-dimensional datasets that turn each experimental round into a learning cycle. 

Built for teams working at the frontier of biology

Pharmaceutical and therapeutic discovery

Synthetic biology and microbial engineering

Enzyme engineering and industrial biotech

 High-throughput infrastructure for antibody screening, peptide optimisation, and therapeutic protein workflows — at the throughput your timelines require.

Enzyme engineering and industrial biotech

Synthetic biology and microbial engineering

Enzyme engineering and industrial biotech

 Systematic parameter-space exploration for directed evolution, kinetics profiling, and enzyme optimisation. More variants, more conditions, full reproducibility. 

AI-native protein design

Synthetic biology and microbial engineering

Synthetic biology and microbial engineering

 You generate candidates faster than any lab can validate them. Engivent closes that loop — connecting your models to real-world experimental data at the speed your iteration cycles demand.

Synthetic biology and microbial engineering

Synthetic biology and microbial engineering

Synthetic biology and microbial engineering

 Programmable automation and multiplexed screening for strain optimisation, pathway engineering, and microbial workflow development.

Ready to accelerate your experimental cycle?

Explore our platformContact us to explore pilots and partnerships ->

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