BioAna by OpenAna

Understand. Predict. Simulate.

BioAna connects your bioprocess data, scientific context and real-time operations with predictive and simulation intelligence — modality-native, from bench to scale.

SOC 2 compliantHuman-governedReal-time ready
LIVE PROCESS CONTEXTBENCH → PILOT → SCALE
MODEL RESPONSEPROCESS SIGNALS
CONTEXT MATCH96%run · material · phase
PREDICTED OUTCOME4.81 g/Lwithin operating window
RecommendationExplore candidate operating region
SOC 2 compliant Modality-native Human-governed Evidence-linked Real-time ready Physics-constrained Multi-program ready Audit-traceable
0+Modalities natively supported
0+Product features across Hub & Twin
0%Decisions kept human-reviewed
SOC 2Compliant platform foundation

01 — THE PROBLEM

Bioprocess development is still
constrained by physical experimentation.

Complex biology makes every run valuable, but much of what is learned remains difficult to reuse. Today: run → analyze → learn → adjust — another physical run is required to validate the next change. That means more experiments and high cost, slower learning that only arrives after the run completes, and knowledge fragmented across data, models and SME memory.

PROCESSOperating conditionsMixing · feed · pH · temperature · geometry
BIOLOGYCell responseGrowth · metabolism · viability · stress
QUALITYProduct outcomeTiter · yield · CQAs · potency · consistency

02 — THE PLATFORM

One platform.
Three connected layers.

BioAna Hub connects and contextualizes process, quality and real-time data. BioAna Twin predicts and simulates using physics, data and AI. BioAna OS governs and scales it all — enterprise, GxP and security.

BioAna Hub

Turn fragmented process data into a scientific record.

Connect runs, events, materials, assays and quality evidence. BioAna Hub aligns them in a modality-aware context your scientists can search, compare and trust.

6 modality packs113 schemasEvidence lineage
Explore Hub
REAL PRODUCT · SYNTHETIC DATA
BioAna Hub product interface

03 — THE INTELLIGENCE LOOP

Every run should make the next one more informed.

BioAna keeps evidence, models and decisions connected so learning compounds instead of disappearing into files and handoffs.

01
Connect

Bring live and historical process evidence together.

02
Contextualize

Align runs, materials, events, assays, equipment and quality.

03
Predict

Explore scenarios with hybrid models and uncertainty.

04
Decide & learn

Review, approve and return new evidence to the system.

04 — WHY BIOANA

Others solve pieces.
BioAna contextualizes the process.

Integration alone does not make a scientific record. A model alone does not make a decision. BioAna connects the full intelligence journey—from real-time evidence to governed action.

01
Connect

Live process + historical evidence

02
Contextualize

Modality-native process semantics

03
Predict

Physics + AI/ML + domain science

04
Decide

Evidence-linked, human-governed action

05 — MODALITY-NATIVE

Shared platform.
Different science.

Process topology, scientific vocabulary, CPPs, CQAs, assays, kinetics and scale rules change by modality. BioAna is designed to preserve that difference.

01CHO · mAbs

Biologics

Growth, metabolism, feeding, mass transfer, titer and CQAs.

02CAR-T · TIL · NK

Cell therapy

Starting-material variability, expansion, phenotype and potency.

03AAV · Lentiviral

Gene therapy

Transfection, vector yield, capsid quality and robustness.

04Bacterial · Yeast

Fermentation

Substrate kinetics, OUR/OTR, feed, heat and productivity.

05ASO · siRNA

RNA & Oligo

Synthesis, purification, impurities, yield and quality.

06CDMO · Enterprise

Multi-program

Client isolation, reusable knowledge and governed scale.

EXPLORE ONE MODALITY END TO END

Biologics: From Cell Culture to Predictive Scale-Up

BioAna connects reactor conditions, cell response and product quality to help scientists understand, predict and optimize biologics processes.

1

PROCESS CONTEXT

What BioAna Hub Connects
  • Reactor conditions
  • Feed strategy
  • DO / pH / temperature
  • Agitation / gas flow
  • Metabolites
  • Offline assays
  • Quality results
2

BIOLOGICS INTELLIGENCE

What BioAna Understands
  • Growth & viability
  • Metabolic behavior
  • kLa / OTR / mass transfer
  • Mixing & scale effects
  • CPP → CQA relationships
  • Batch variability
3

BIOANA TWIN

What BioAna 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
Biologics intelligence that turns every run into better scale-up decisions.

06 — HYBRID INTELLIGENCE

Physics constrains.
Data grounds.
AI learns.

PHYSICSMass transfer, mixing, shear and scale effects
+
PROCESS DATAHistorical runs, conditions and quality outcomes
+
DOMAIN SCIENCEBiology, process constraints and SME knowledge
Scientifically constrained prediction

07 — ONE FOUNDATION

Multiple decisions.
Across the lifecycle.

The same intelligence foundation supports decisions from early development through commercial manufacturing.

01Process development

Design better experiments

02Scale-up optimization

Predict larger-scale behavior

03Feed / process optimization

Tune operating conditions

04Product quality prediction

Anticipate CQAs and performance

05Tech transfer

Carry process knowledge forward

06Manufacturing support

Support deviations, RCA and continuous improvement

08 — WHO IT'S FOR

Built for the people
who own the decision.

01Process development scientists

Design fewer, smarter experiments with evidence attached

02Manufacturing science & tech

Investigate deviations and improve without a data hunt

03Scale-up & tech transfer teams

Compare scenarios before committing a run

04Quality & regulatory partners

Trace every conclusion back to its source

05CDMO & multi-program leaders

Reuse knowledge across clients and programs safely

09 — SCIENTIFIC QUESTIONS, NOT SOFTWARE MENUS

Start with the question
your team can't answer fast enough.

BioAna is built around the decisions scientists and engineers actually face — not a generic dashboard.

Why did this batch behave differently?

Compare trajectories, events, materials and parameters across similar runs.

Which parameters are driving lower titer?

Explore historical evidence, interactions and process windows.

Can this process scale from 2L to 2,000L?

Evaluate scale-dependent behavior using models, reactor attributes and prior runs.

What experiment should we run next?

Use accumulated evidence and uncertainty to prioritize the highest-value experiment.

10 — CONNECTED, NOT REPLACED

Meet the process
where it already lives.

BioAna 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.

11 — TRUST

Scientific velocity.
Without losing control.

BioAna 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.

12 — BUSINESS OUTCOMES

Move faster.
With less risk.

01Accelerate development

Reduce time spent preparing, reconciling and interpreting process data

02Reduce experimental burden

Use models and accumulated knowledge to prioritize high-value experiments

03De-risk scale-up

Understand parameter sensitivity and expected behavior before committing capacity

04Build process memory

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 BioAna