AI-powered bioprocess optimization
Stop losing months to the wrong experiments.
BioOptima AI tells your team exactly what to run next — then learns from every result to converge on scalable process conditions in weeks, not months. Even without prior data.
Used in mAb, microbial fermentation, and CGT programs · First cycle free · No IT project required.
The problem
Traditional bioprocess development is broken.
typical DOE-driven development cycle
experiments eliminated with adaptive AI
of bioprocess development is AI-enabled today
The missing layer
A closed loop — team, AI, and lab.
Click any node to see its role in the cycle.
How it works
A closed loop that gets smarter every cycle.
Each experiment compounds — making the next one faster, cheaper, and more accurate. Even if you start with zero data.
Step 01
Ingest data & heuristics
Start with your prior runs, process parameters, and expert knowledge — or nothing at all. BioOptima primes the model from day one, with or without historical data.
Works with zero prior dataStep 02
AI designs the experiment
Multi-objective AI evaluates media and process interactions simultaneously. It proposes the single highest-value next run — not the next obvious one.
Joint media + process optimizationStep 03
You run and log results
Your team runs the experiment in your existing lab. Log results directly into BioOptima — no ELN export, no file format, no integration overhead.
No new equipmentStep 04
AI refines and converges
Each cycle narrows the design space. The model updates instantly. Predictions tighten. Operating windows become transferable across programs and facilities.
Knowledge retained across programsProof point
Real results. Real programs.
Problem: 8–12 months of static DOE screening couldn't stabilize fed-batch conditions under oxygen variability.
Result: Converged in 3 adaptive cycles — 6× productivity gain and a transferable operating window defined for scale-up.
Read full case study →Problem: Every new strain triggered a full design-space re-exploration, with no knowledge carried forward between programs.
Result: Learned interaction patterns applied across constructs — 3× productivity and quality improvement with reduced exploratory burden on every follow-on program.
Read full case study →Pilot collaboration framework
Start with a 4-week demonstration.
Validate accelerated convergence and improved process robustness within your existing biomanufacturing program. AI-guided experimental design across 2–3 adaptive cycles. Secure data exchange and structured reporting throughout.
Use cases
Built for every bioprocess.
Biologics & biopharma
mAb upstream involves 50+ interacting variables. Traditional DOE can't keep up — you run batches, get noise, and start over.
Jointly optimizes media and process parameters in a single adaptive loop. Every cycle narrows the design space.
80% fewer experiments to convergence. Scale-up conditions that hold.
Industrial biotechnology
Fermentation yield depends on oxygen dynamics that static DOE can't model. Variance accumulates. You run more experiments.
Oxygen-aware AI design accounts for gas transfer effects across vessel scales and feed strategies.
Yield improvement in 3 adaptive cycles. Conditions transfer across bioreactor sizes.
Cell & gene therapy
Vector production and T-cell expansion have too many variables and too little data. One failed batch can set a program back months.
Quality-attribute-aware AI guidance for complex CGT design spaces — no prior data required.
Faster IND-enabling process development. Fewer failed runs on high-value materials.
Distributed biomanufacturing
Re-optimizing for each new facility consumes months and creates dependence on centralized expertise.
Builds transferable operating windows that reproduce reliably across sites and scales.
Multi-site transfer without re-optimization. Knowledge retained across the network.
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.
Book a demo