Monoclonal antibodies
CHO expression, purification and CQAs.
Hub connects: Titer, mixing, feed and quality data across the mAb workflow
Twin predicts: Titer/yield, CQAs, scale-up behavior and operating window
PROGRAMS & TEAMS
Six modalities. Six roles. One platform.
BioAna adapts to the scientific modality and the role making the decision — while keeping the same connected data, prediction and governance foundation across every program.
PROGRAM MATRIX6 MODALITIES × 6 ROLES
mAbsRec. proteinsCell therapiesGene / viral vectorsFermentationRNA / oligo
BIOANAOne platform.
Every program.
Every program.
Process DevelopmentDesign experiments
MSATDe-risk transfer
Manufacturing SciencesInvestigate deviations
R&D Digital & DataGovern data products
Quality & CMCTrace evidence
LeadershipMonitor portfolio risk
01 — SIX MODALITIES
Modality-native.
Not one-size-fits-all.
Each modality pack preserves its own process topology, terminology, CPPs, CQAs, assays, kinetics and scale rules on one governed platform foundation.
Recombinant proteins
Expression, purification and product quality.
Hub connects: Expression, purification and analytical data
Twin predicts: Titer/yield, purity and quality attributes
Cell therapies
CAR-T, TIL, NK and other cell-based programs.
Hub connects: Donor variability, activation, expansion and transduction data
Twin predicts: Expansion yield, phenotype/composition and potency indicators
Gene therapies and viral vectors
AAV, lentiviral and vector-based programs.
Hub connects: Cell line, transfection, bioreactor and purification data
Twin predicts: Vector yield, quality attributes and scale-up behavior
Microbial and precision fermentation
Bacterial, yeast and fermentation processes.
Hub connects: Substrate, feed, oxygen and off-gas data
Twin predicts: Biomass/yield, productivity and feed trajectory
RNA and oligonucleotides
ASO, siRNA and RNA-based purification workflows.
Hub connects: Synthesis, purification and analytical data
Twin predicts: Yield, purity and impurity profile
Multi-program and CDMO deployment is an Enterprise capability, not a scientific modality.
02 — SIX ROLES
Every role.
A decision, not just a label.
Design fewer, higher-value experiments and optimize conditions.
“Which experiment should we run next?”
De-risk scale-up, transfer and comparability.
“Will this process transfer successfully to the next scale?”
Analyze batch behavior, trends and investigate deviations.
“Is this batch moving toward a deviation?”
Govern reusable, model-ready data products and integrations.
“Is our process data complete and model-ready?”
Trace evidence, calculations and conclusions for every decision.
“Can we trace this conclusion back to its source?”
Monitor process maturity, development risk and portfolio capacity.
“Where is our biggest process or capacity risk?”
03 — ROLES × MODALITIES
Same platform.
Different decision, every time.
A role’s decision does not change across modalities — the evidence, models and terminology behind it do.
Compare expansion strategies using donor and process-stage evidence.
De-risk AAV/lentiviral scale-up and tech transfer with vector-yield models.
Investigate an oxygen-limitation deviation using OUR/OTR history.
Trace a CQA shift back to its source run, material and assay.
04 — QUESTIONS WE GET OFTEN
Straight answers on programs & teams.
Is Multi-program/CDMO a modality?
No. Multi-program and CDMO is an organization and deployment pattern, governed by BioAna OS, not a scientific modality.
Can one team work across multiple modalities?
Yes. The same role framework and platform foundation apply regardless of how many modalities a team supports.
Do all six roles need to be present to use BioAna?
No. Most teams start with one or two roles and one modality, then expand as evidence and trust accumulate.
Start with your program
Bring us your modality, team and the decision you can’t answer fast enough.
We will map the evidence, modality context and intelligence path required to support it.
Talk to BioAna ↗