Connects equipment, laboratory, manufacturing and enterprise data with scientific documents and batch, process and modality context — reusable knowledge for investigation, modeling and agent workflows.
Learn more ↗THE AI-NATIVE BIOPROCESS PLATFORM
Bioprocess expertise. Multiplied by AI.
Physics. Biology. Data. ML models. Agentic AI. Human expertise.
One platform to advance R&D, process development, scale-up and manufacturing. BioMedAna connects data from bioreactors, historians, ELN, LIMS, MES, lab systems, files and APIs, builds scientific context around it, and puts hybrid process models and specialist agents to work on the decisions your teams own.
SOC 2 compliantHuman-governedReal-time ready
Combines physics, biology, process data, ML models and human expertise in hybrid process models that explore scenarios and predict process behavior.
Learn more ↗Breaks complex requests into coordinated tasks across specialist agents, connected data and scientific models, and returns evidence-linked findings for expert review.
Learn more ↗Shared integration, governance, security, permissions and traceability across data, models, agents and workflows — with human oversight and controlled execution.
Learn more ↗Hub connects. Twin models. Agents execute. OS governs.
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
Evidence, prediction
and a scientific teammate.
BioMedAna Hub creates the governed scientific record. Twin predicts yield, quality, deviations and scale-dependent behavior. Assist works across both to investigate questions, run guided analyses and build evidence-linked reports. BioMedAna OS governs deployment 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.
Scientific depth. Connected execution.
The capabilities your teams need across the bioprocess lifecycle, compared with the tool categories they usually come from.
| What your teams need | Data platforms | Digital twin tools | AI / ML platforms | Agent / workflow tools | BioMedAna |
|---|---|---|---|---|---|
| Reduce data-preparation effortConnected, contextualized evidence | Core | Varies | Varies | Varies | Hub |
| Focus experimentationDoE, hypotheses and experiment planning | Varies | Core | Varies | Varies | Twin + Agents |
| Understand and optimize process behaviorPhysics + biology + data + ML | Varies | Core | Core | Varies | Twin |
| Strengthen scale-up and transferSimulation, comparability and risk analysis | Varies | Core | Varies | Varies | Hub + Twin + Agents |
| Investigate manufacturing variabilityPAT, chromatography and batch analysis | Varies | Varies | Varies | Varies | Hub + Twin + Agents |
| Advance Quality and CMC readinessEvidence mapping, investigations, review packs | Varies | Varies | Varies | Varies | Hub + Agents |
| Expand team capacitySpecialist agents and authorized execution | Varies | Varies | Varies | Core | Agents |
| Apply modality-specific intelligenceScientific context, models and workflows | Varies | Varies | Varies | Varies | Hub + Twin + Agents |
| Coordinate work with oversightIntegration, governance and traceability | Varies | Varies | Varies | Varies | OS |
Core = typical category focus. Varies = offering- and implementation-dependent. BioMedAna entries identify the principal contributing offerings. Illustrative category comparison, not a vendor-by-vendor assessment.
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
From early development
to commercial manufacturing.
Specialist agents, scientific models and human expertise across biological development, process optimization, scale-up, manufacturing, Quality and CMC.
Advance promising candidates
Clone and strain comparison, expression and productivity analysis, biological pathway investigation and evidence-backed candidate selection.
Focus experimentation
DoE analysis, media and feed strategies, upstream and downstream optimization, chromatography analysis and next-experiment recommendations.
Explore before committing
Hybrid-model simulations, sensitivity analysis, operating windows, scale-dependent behavior and process-risk assessment.
Strengthen process performance
Comparability, site readiness, PAT and Raman signal analysis, batch investigations, equipment-event correlation and continued process verification.
Build review-ready evidence
OOS/OOT support, assay trends, deviations, CAPA follow-up, change-impact analysis, evidence mapping and submission-document consistency.
Coordinate specialist work
Deep analysis, investigations, simulation workflows and recommendations, shaped by modality-specific biology, analytical methods and quality attributes.
Connected evidence. Scientific models. Coordinated agents. Human oversight.
10 — WHO IT'S FOR
Designed around the decisions
your teams own.
The value of intelligence is realized in the work of Process Development, MSAT and Manufacturing, alongside Quality, Regulatory Affairs and CMC. Analytical and Digital teams participate throughout. See the full framework on Programs & Teams.
Process / accountable team
Application
Business value
Process developmentHeads of PD / R&D
Connect upstream, downstream and analytical evidence. Investigate process drivers and explore scenarios.
Prioritize experimentation and retain learning.Scale-up & transferHeads of MSAT / Tech Transfer
Carry knowledge between scales, sites and teams. Organize the evidence behind transfer decisions.
Identify risks earlier and preserve process context.Manufacturing improvementHeads of Manufacturing / Operations
Compare batches, investigate variability and connect conditions with outcomes.
Support consistent performance and improvement.Quality & regulatory readinessHeads of Quality / Regulatory Affairs / CMC
Organize supporting evidence, summarize findings and prepare documentation for expert review.
Strengthen evidence access and review readiness.Executive priorities Productivity / Risk / Knowledge continuity
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
Accelerate progress.
Multiply business value.
Turn scientific depth and coordinated execution into greater team capacity, stronger processes and better use of development and manufacturing resources.
Bring historical evidence, DoE analysis, scientific models and recommendations into experiment planning to focus effort and reduce avoidable iteration.
Evaluate process behavior, equipment differences and evidence gaps before committing to costly engineering runs.
Connect PAT, process and analytical evidence with investigations and simulations to identify variability drivers and evaluate improvements.
Coordinate specialist agents across analysis, investigations, evidence mapping and reporting so experts can accomplish more.
Carry biological context, experimental learning, models and decision rationale across programs, teams and sites.
Measure against your baseline
Experiment cycle timeInvestigation effortTransfer preparation timeYieldBatch variability
17 — VALUE OPPORTUNITY CALCULATOR
See what BioMedAna could
return for your team.
VALUE OPPORTUNITY CALCULATOR
Model value across the bioprocess lifecycle.
Use your own operating economics or start with an illustrative regional scenario. All financial values are in USD.
Conservative assumptionsEditable inputsNo data transmitted
Presets change only the editable cost assumptions—not BioMedAna's impact percentages.
BIOMEDANA HUB
Operational speed, insight and capacity
Data foundationInsightsPlanning & DOEInvestigation & RCAReports
Lifecycle coverage and conservative impact assumptions
SCENARIO VIEW
Compare the same operating profile across regions.
Illustrative economics only. Replace them with your own values for a decision-quality estimate.
| Scenario | Annual labor cost | Hub annual value | Hours returned | Twin value opportunity |
|---|---|---|---|---|
| India | $36,000 | $52,920 | 2,822 | $490,000 |
| South Korea | $95,000 | $139,650 | 2,822 | $892,500 |
| Singapore | $130,000 | $191,100 | 2,822 | $1,109,500 |
| Japan | $115,000 | $169,050 | 2,822 | $1,001,000 |
| European Union | $110,000 | $161,700 | 2,822 | $980,000 |
| United States | $150,000 | $220,500 | 2,822 | $1,268,750 |
Transparent by design.
The calculator estimates value—not BioMedAna pricing—using the same conservative improvement assumptions and user-provided economics. Results are planning estimates, not guaranteed outcomes. A tailored business case and BioMedAna Twin require a scoped assessment.
18 — A FOCUSED STARTING POINT
Begin with a decision
that matters.
Identify a priority process, a responsible team and the evidence they need. Explore how BioMedAna can support that workflow and create a foundation for broader use.
Connect the evidence
Bring a defined set of process data and knowledge into context with Hub.
Learn more ↗Equip the team
Apply Agents to an investigation, analysis or knowledge workflow.
Learn more ↗Extend the intelligence
Introduce Twin where scenario analysis supports a meaningful decision.
Learn more ↗Start with one decision
Book a tailored demonstration.
Bring us the process question you cannot answer fast enough. We will map the evidence, modality context and intelligence path required to support it.
Or write to hello@biomedana.ai