Connect, standardize and contextualize real-world bioprocess data into a complete, evidence-linked scientific record.
Learn more ↗BIOPROCESS DATA + DIGITAL TWIN PLATFORM
From fragmented bioprocess data to prediction-ready intelligence.
BioMedAna connects data from bioreactors, historians, ELN, LIMS, MES, lab systems, files and APIs. Our in-house, modality-trained AI/ML maps each source to scientific ontologies, standardizes the data and verifies completeness before it becomes a governed record in Hub. Twin then predicts yield, quality and deviations before they happen.
Understand. Predict. Simulate.
SOC 2 compliantHuman-governedReal-time ready
ONE PLATFORM6 MODALITIES · 3 CONNECTED LAYERS
mAbs
Rec. proteins
Cell therapies
Gene / viral vectors
Fermentation
RNA / oligo
BioMedAna HubConnect · standardize · contextualize
BioMedAna TwinPredict · simulate · recommend
BioMedAna OSSecure · govern · deploy
Faster decisions
Lower risk
Higher yield
Compounding knowledge
Model and simulate bioprocess behavior to predict yield, quality, operating windows and deviations.
Learn more ↗Deploy BioMedAna securely across sites, programs and teams with governance, auditability and model lifecycle controls.
Learn more ↗01 — THE PROBLEM
Development is still
constrained by physical experimentation.
Complex biology makes every run valuable, but much of what is learned remains difficult to reuse. Run → analyze → learn → adjust — another physical run is required to validate the next change.
PROCESSOperating conditions
→BIOLOGYCell response
→QUALITYProduct outcome
02 — WHERE THE TIME GOES
Scientists spend most
of their week not doing science.
Someone exports the bioreactor data, hunts down assay results, re-aligns timestamps and rebuilds context. BioMedAna moves that work to the platform — permanently.
Data preparation & huntingScience & decisions
TODAY
62%38%
Exporting, cleaning, aligning timestamps and rebuilding context by handWITH BioMedAna
18%82%
Context connected and maintained by the platform — science gets the hours backIllustrative split, based on how bioprocess teams commonly report their analysis time. Actual results depend on systems, scope and deployment.
03 — THE PLATFORM
One platform.
Three connected layers.
BioMedAna Hub connects, standardizes and contextualizes bioprocess data. BioMedAna Twin predicts yield, quality, deviations and scale-dependent behavior. BioMedAna OS is the operating layer for security, governance, deployment and collaboration across sites and teams.
BioMedAna Hub
Turn fragmented process data into a scientific record.
Connect runs, events, materials, assays and quality evidence. BioMedAna Hub aligns them in a modality-aware context your scientists can search, compare and trust.
✓ 6 modality packs✓ 113 schemas✓ Evidence lineage
Explore Hub↗app.BioMedAna.ai/hubBioMedAna HUB
WORKSPACEProcess Studio · 6 modality packsEVIDENCE1,057 runs · 131 source filesGOVERNANCEFull audit trail · saved viewsSCREEN01 · Modality Overview
One Evidence Chain, Six Modalities
Source file → mapping & validation → canonical record → calculation → reviewable conclusion → frozen evidence.
MODALITY PACKS6/6ACTIVE
Runs & batches1,057all packs
Designed exceptions24validation cases
Source files131import-ready
Active imports12preview & commit
Saved views19shared evidence
Audit events4,208fully traceable
Batches12
Exceptions4
Files31
Batches10
Exceptions3
Files18
Batches8
Exceptions5
Files24
Batches9
Exceptions4
Files22
Batches11
Exceptions2
Files17
Batches7
Exceptions6
Files19
04 — THE INTELLIGENCE LOOP
Every run should make the next one more informed.
BioMedAna keeps evidence, models and decisions connected so learning compounds instead of disappearing into files and handoffs.
Connect
Bring live and historical process evidence together.
Contextualize
Align runs, materials, events, assays, equipment and quality.
Predict
Explore scenarios with hybrid models and uncertainty.
Decide & learn
Review, approve and return new evidence to the system.
05 — FEWER, SMARTER EXPERIMENTS
Explore widely in silico.
Commit narrowly in the lab.
Every physical run costs weeks and material. BioMedAna Twin lets teams sweep the operating space virtually first — so the runs that do get committed are the ones most likely to teach something.
120+
01Scenarios explored in silico
Feed, DO, agitation, temperature and scale combinations simulated against models and prior evidence
12
02Candidate conditions
Ranked by predicted outcome, uncertainty and engineering constraint headroom
3
03Physical runs committed
High-value experiments approved through governed scientist review
Illustrative workflow — the point is the shape: explore widely in silico, commit narrowly in the lab.
06 — WHY BioMedAna
Others solve pieces.
BioMedAna contextualizes the process.
Integration alone does not make a scientific record. A model alone does not make a decision. BioMedAna connects the full intelligence journey—from real-time evidence to governed action.
Connect
→Live process + historical evidence
Contextualize
→Modality-native process semantics
Predict
→Physics + AI/ML + domain science
Decide
→Evidence-linked, human-governed action
Traditional approach
BioMedAna
Platform-first implementation
Outcome-led engagement, starting from one decision
One-size-fits-all workflows
Configured for your modality and your data
Black-box predictions
Evidence-linked, physics-constrained AI
Dashboards & point analytics
Connect, contextualize, predict and act
Another data destination
Works with your existing data estate
Fragmented tools & tribal knowledge
One intelligence layer across teams
8–12+ month implementation cycles
Target initial value in 8–12 weeks
BioMedAna is designed to meet data where it already lives, configure around your process, and deliver measurable value without a rip-and-replace transformation.
07 — MODALITY-NATIVE
Shared platform.
Different science.
Process topology, scientific vocabulary, CPPs, CQAs, assays, kinetics and scale rules change by modality. BioMedAna is designed to preserve that difference.
Monoclonal antibodies
Growth, metabolism, feeding, mass transfer, titer and CQAs.
Recombinant proteins
Expression, purification, potency and product-quality attributes.
Cell therapies
Starting-material variability, expansion, phenotype and potency.
Gene therapies and viral vectors
Transfection, vector yield, capsid quality and robustness.
Microbial and precision fermentation
Substrate kinetics, OUR/OTR, feed, heat and productivity.
RNA and oligonucleotides
Synthesis, purification, impurities, yield and quality.
EXPLORE ONE MODALITY END TO END
Monoclonal antibodies: From Cell Culture to Predictive Scale-Up
BioMedAna connects reactor conditions, cell response and product quality to help scientists understand, predict and optimize biologics processes.
1
PROCESS CONTEXT
What BioMedAna Hub Connects- Reactor conditions
- Feed strategy
- DO / pH / temperature
- Agitation / gas flow
- Metabolites
- Offline assays
- Quality results
→
2
MONOCLONAL ANTIBODIES INTELLIGENCE
What BioMedAna Understands- Growth & viability
- Metabolic behavior
- kLa / OTR / mass transfer
- Mixing & scale effects
- CPP → CQA relationships
- Batch variability
→
3
BioMedAna TWIN
What BioMedAna Predicts- Titer / yield
- CQAs
- Scale-up behavior
- Operating window
- Sensitivity
- Confidence / uncertainty
→
4
DECISIONS
What Scientists Can Do- Optimize feed strategy
- Compare scenarios
- Select conditions
- Reduce runs
- Improve tech transfer confidence
Fewer Runs
Faster Scale-Up
Better Process Understanding
Higher Confidence
08 — HYBRID INTELLIGENCE
Physics constrains.
Data grounds.
AI learns.
09 — ONE FOUNDATION
Multiple decisions.
Across the lifecycle.
The same intelligence foundation supports decisions from early development through commercial manufacturing.
Design better experiments
Predict larger-scale behavior
Tune operating conditions
Anticipate CQAs and performance
Carry process knowledge forward
Support deviations, RCA and continuous improvement
10 — WHO IT'S FOR
Built for the people
who own the decision.
Every role has a decision BioMedAna is built to support. See the full framework on Programs & Teams.
Design fewer, smarter experiments with evidence attached
De-risk scale-up, transfer and comparability
Investigate deviations and improve without a data hunt
Govern reusable, model-ready data products
Trace every conclusion back to its source
Monitor process maturity and portfolio risk
11 — SCIENTIFIC QUESTIONS, NOT SOFTWARE MENUS
Start with the question
your team can't answer fast enough.
BioMedAna is built around the decisions scientists and engineers actually face — not a generic dashboard.
Compare trajectories, events, materials and parameters across similar runs.
Explore historical evidence, interactions and process windows.
Evaluate scale-dependent behavior using models, reactor attributes and prior runs.
Use accumulated evidence and uncertainty to prioritize the highest-value experiment.
12 — CONNECTED, NOT REPLACED
Meet the process
where it already lives.
BioMedAna connects across equipment, laboratory, manufacturing and enterprise environments using the protocols and interfaces already in place — a governed intelligence layer above the existing technology estate, not a rip-and-replace program.
INTEGRATION PROTOCOLS
OPC-UAOPC-DASQLAPIsSCADAFile-basedSFTP
SYSTEM CATEGORIES
BioreactorsDownstreamELNLIMSMESHistoriansPLM
REPRESENTATIVE ECOSYSTEM
CytivaApplikonSartoriusRepligenBenchlingLabWareRevvityTulipKörberINFORS HT
Vendor names are shown as representative examples of the bioprocess technology landscape. Specific connectivity depends on the available interface, protocol, data access and customer environment.
13 — CONNECTED ACROSS THE ECOSYSTEM
Partners, integrations
& customers.
CytivaApplikonSartoriusRepligenBenchlingLabWareRevvityTulipKörberINFORS HTSecurecellAWSMicrosoftGoogleand many moreCytivaApplikonSartoriusRepligenBenchlingLabWareRevvityTulipKörberINFORS HTSecurecellAWSMicrosoftGoogleand many more
14 — TRUST
Scientific velocity.
Without losing control.
BioMedAna is SOC 2 compliant and designed around access control, provenance, model lifecycle, auditability and human approval.
Explore trust & compliance ↗01Evidence lineage
Trace conclusions back to source records.
02Human governance
Review and approval before consequential action.
03Enterprise controls
RBAC, audit trails and controlled environments.
15 — KNOWLEDGE THAT COMPOUNDS
Most organizations rent their process knowledge.
BioMedAna lets you own it.
When evidence, context and decisions stay connected, every campaign starts further ahead than the last. When they live in files, folders and people's heads, the learning curve resets with every departure, transfer and reorg.
- Every investigation adds to a permanent, searchable record
- Tech transfer carries the evidence, not just the report
- New scientists inherit context on day one
Connected evidence in BioMedAnaFiles, slides & SME memory
Reusable process knowledgeSuccessive runs & campaigns
THE COMPOUNDING EFFECTRun 12 starts where run 11 finished — with its evidence, context and decisions attached.
WITHOUT CONTEXTKnowledge plateaus as people, files and folders move on.
16 — BUSINESS OUTCOMES
Move faster.
With less risk.
Reduce time spent preparing, reconciling and interpreting process data
Use models and accumulated knowledge to prioritize high-value experiments
Understand parameter sensitivity and expected behavior before committing capacity
Preserve experiments, investigations, decisions and evidence across teams
Start with one decision
Bring us the process question you cannot answer fast enough.
We will map the evidence, modality context and intelligence path required to support it.
Talk to BioMedAna ↗