Use cases

Built for every bioprocess.

Whether you're developing a next-generation biologic, scaling an industrial fermentation, or solving a CGT manufacturing challenge — BioOptima AI speaks your process.

Biologics & biopharma

average titer improvement

Reach target titer in weeks, not quarters.

Problem: mAb and recombinant protein programs stall for months in static DOE that can't resolve factor interactions at scale.

What BioOptima does: BioOptima jointly optimizes media and process parameters in a single adaptive loop — learning from every run and narrowing the design space cycle by cycle.

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average titer improvement
3–5experimental cycles to optimum
80%reduction in experiments required

Industrial biotechnology

metabolite yield improvement

Maximize yield. Minimize feedstock. Beat the model.

Problem: Gas transfer effects, feed strategy interactions, and scale-dependent behavior make static DOE unreliable and expensive in microbial fermentation.

What BioOptima does: BioOptima's oxygen-aware AI accounts for gas transfer and feed strategies across vessel scales — learning directly from your runs, no integration required.

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metabolite yield improvement
40%reduction in feedstock cost
2–4weeks from first run to optimum

Cell & gene therapy

10×viral vector titer improvement

Navigate the complexity that DOE cannot.

Problem: CGT design spaces involve quality-attribute interactions that scale poorly with traditional DOE — extending development cycles and adding regulatory risk.

What BioOptima does: BioOptima provides quality-attribute-aware AI guidance from day one, proposing the highest-value experiment next and explaining every recommendation.

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10×viral vector titer improvement
T-cell expansion factor
<3wkprocess development cycle

Distributed biomanufacturing

Standardize across sites. Transfer knowledge, not headcount.

What BioOptima does

BioOptima builds transferable operating windows that hold across facilities and vessel types. Process knowledge is retained in the model — not locked inside one team or one site. Domestic manufacturing networks can run adaptive optimization without centralizing expertise.

Outcome

50–80% reduction in development cycles. Reproducible operating windows across distributed facilities. Reduced dependence on centralized expertise.

Discuss your program

Defense-ready · Distributed manufacturing

50–80%reduction in dev cycles
Transferableoperating windows
BIOSECUREaligned

Ready to start?

Your team runs experiments. BioOptima decides which ones.

Begin with a 4-week adaptive optimization demonstration. Validate accelerated convergence within your existing biomanufacturing program — no new equipment, no IT project, no commitment beyond the pilot.

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