What if your bioprocess never had to guess again?
BioOptima AI ingests your run history, maps the full design space, and decides the single most-likely-to-succeed experiment — before you run it. No scripts. No noise. No wasted batches.
The problem
Trial-and-error killed your last timeline.
Upstream optimization stalled at month 14
Three DOE rounds. Twelve parameter combinations. The team ran 200+ shake flasks and still couldn't confidently identify the optimal feed strategy for their mAb clone. The IND filing slipped by two quarters.
Critical purity failure discovered in batch 38
A host cell protein spike went undetected across six production runs. By the time the analytics team traced it to a pH excursion pattern in process data, the client had already escalated to a regulatory hold.
These aren't edge cases. They're the norm in bioprocess development. Your team is world-class — but the tools they're working with were designed for a simpler era. The design space is too large. The interactions are too complex. Manual experimentation cannot keep up.
average bioprocess development cycle
median cost per failed development batch
of experimental runs that reach optimal conditions
The solution
One layer away from certainty.
Your experimental team
Experienced scientists and engineers who design, execute, and interpret bioprocess experiments.
Your bioreactor & lab setup
The equipment your team already uses — bench-scale bioreactors, analytical instruments, and the process you're developing. No new hardware required.
BioOptima AI™
The decision layer that learns from every experiment your team runs — starting from cycle one, with no prior data required — and tells you exactly which conditions to try next, with a predicted outcome before you start.
How it works
Three inputs. One optimal experiment.
BioOptima doesn't replace your team. It gives them a decision engine that learns from every experiment they run and knows exactly what to try next — starting from cycle one, with no prior data needed.
Step 01
Define your objective
Tell BioOptima what you're optimizing — titer, purity, viability, yield — and set any hard constraints your process must meet. No configuration beyond plain language.
Takes 5 minutesStep 02
Run your first experiment
BioOptima designs an intelligent starting condition — no prior data required. Run the experiment, then log your results directly in the platform. No integrations, no file formats, no setup overhead.
Start from zero, day oneStep 03
AI designs your next run
After each completed cycle, BioOptima updates its understanding of your process and selects the single highest-value experiment to run next — with a predicted outcome and confidence range before you start.
Recommendation in <60 secondsUse cases
Built for every bioprocess.
Biologics & biopharma
Accelerate upstream development for mAbs, fusion proteins, and biosimilars. BioOptima handles the full design space — from media and feed optimization to temperature shift strategies — so your team reaches target titer in weeks, not quarters.
- mAb & bispecific upstream
- Biosimilar comparability
- CHO & HEK293 process dev
Industrial biotechnology
Maximize metabolite yield and substrate conversion efficiency across fermentation and enzymatic processes. BioOptima adapts to your organism, your feedstock constraints, and your commercial targets.
- Fermentation optimization
- Enzyme & metabolite yield
- Strain & media screening
Cell & gene therapy
Navigate the complexity of viral vector production, plasmid transfection, and T-cell expansion. BioOptima brings structure to a design space that conventional DOE cannot handle.
- AAV & lentiviral vector production
- Plasmid & transient transfection
- T-cell & iPSC expansion
Zero friction
Nothing to install. Nothing to learn.
No DOE scripts
BioOptima replaces manual design-of-experiment workflows. No JMP, no Minitab, no Python scripts. Just upload your data and get a recommendation.
No noise
BioOptima's model separates signal from experimental variability. You get clean recommendations, not a confusion of correlated factor effects.
No new equipment
Runs on your existing bioreactor fleet. BioOptima is a software layer — your capital equipment stays exactly where it is.
Explainable predictions
Every recommendation includes factor importance scores and confidence bounds. Your scientists understand why, not just what.
Secure by design
Your process data never trains shared models. All models are project-scoped, encrypted at rest, and hosted in your preferred cloud region.
Results hold at scale
Recommendations from bench-scale data are validated against scale-up parameters. BioOptima flags known scale-sensitive factors before you commit to GMP.
What teams are saying
Trusted by bioprocess teams at every stage.
We ran twelve DOE rounds on our upstream process over eight months. BioOptima got us to the same point in three experimental cycles. I genuinely don't know how we worked without it.
The explainability is what sold our CSO. It's not a black box — every recommendation comes with clear reasoning and confidence bounds. Our scientists understand exactly what the platform is doing.
Our industrial fermentation team was skeptical of AI tools after a few bad experiences with other vendors. BioOptima's predictions held up at 500L scale on the first transfer. That changed everything.
We were about to hire two additional process development scientists. Instead, we deployed BioOptima and our existing team is now handling three times the project throughput.
FAQ
Common questions
JMP and Minitab are statistical analysis tools — they help you analyze experiments you've already run. BioOptima is a decision engine: it reads your historical data, builds a surrogate model of your process, and tells you which experiment to run next with a predicted outcome. You don't need a statistician to operate it, and it gets smarter with every batch you complete.
No. BioOptima is a software platform that works with the data your existing equipment already generates. There is nothing to install on your bioreactors or sensors. You connect your ELN, LIMS, or data export, and BioOptima handles the rest. If your process generates data, BioOptima can work with it.
Yes. Your data is never used to train shared or multi-tenant models. Every BioOptima deployment is fully project-scoped: your data trains models that serve only your organization. All data is encrypted at rest and in transit, and you can choose your preferred cloud region. We offer a BAA for customers with compliance requirements.
BioOptima is host-agnostic. It works with any process that produces structured experimental data — CHO, HEK293, E. coli, Pichia, yeast fermentation, T-cell expansion, viral vector production, and more. If you have historical run data, BioOptima can model it. Minimum recommended dataset size is 8–12 runs, though the platform will generate recommendations from as few as 4.
Book a 30-minute discovery call with our team at thebioforge.com/contact. We'll review your process, confirm data readiness, and scope a pilot program. Most teams are running their first BioOptima-guided experiment within 2–3 weeks of kickoff.
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