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

Reach target titer in weeks, not quarters.

Monoclonal antibody upstream development involves dozens of interacting variables — media composition, temperature shifts, pH profiles, dissolved oxygen, feed strategy. Conventional DOE scales poorly with this level of complexity. BioOptima learns your process cycle by cycle and identifies the shortest path to your performance target — whether you're starting from zero or building on prior work.

Applications

  • mAb, bispecific, and Fc-fusion upstream optimization
  • Biosimilar comparability studies
  • CHO, HEK293, and NS0 process development
  • Seed train and N-1 perfusion optimization
  • Media and feed strategy screening
Discuss your process
average titer improvement
3–5experimental cycles to optimum
60%reduction in development timeline

Industrial biotechnology

Maximize yield. Minimize feedstock. Beat the model.

Industrial fermentation optimization requires balancing yield, productivity, and substrate cost across a complex metabolic network. BioOptima learns these trade-offs directly from your experimental cycles — no data pipeline, no historian integration — and guides your team to the optimal operating point with fewer runs than any classical approach.

Applications

  • Microbial and yeast fermentation optimization
  • Organic acid and amino acid production
  • Enzyme and specialty chemical manufacturing
  • Strain screening and media development
  • Fed-batch and continuous process strategy
Discuss your process
metabolite yield improvement
40%reduction in feedstock cost
2–4weeks from first run to optimum

Cell & gene therapy

Navigate the complexity that DOE cannot.

Cell and gene therapy manufacturing involves a design space that's simply too large for classical experimental design. Viral vector production, plasmid transfection, and T-cell expansion each involve complex, non-linear interactions between process parameters and biological outcomes. BioOptima brings structure to this from day one — no prior runs, no existing data required.

Applications

  • AAV serotype-specific vector production
  • Lentiviral vector manufacturing
  • Plasmid and transient transfection optimization
  • Primary T-cell and NK-cell expansion
  • iPSC differentiation protocol development
Discuss your process
10×viral vector titer improvement
T-cell expansion factor
<3wkprocess development cycle

Ready to start?

Your team runs experiments. BioOptima decides which ones.

Book a 30-minute discovery call. We'll review your process, confirm data readiness, and design a pilot you can start in two weeks.

Book a discovery call