Connect
Bioreactors, PAT, historians, ELN, LIMS, MES, analytics and files
BioMedAna HUB · UNIFIED BIOPROCESS DATA LAYER
Turn fragmented bioprocess data into a complete scientific record.
BioMedAna Hub connects real-time and historical data from bioreactors, PAT, historians, ELN, LIMS, MES, lab systems, files and APIs. In-house, modality-trained AI/ML maps each source to scientific ontologies, standardizes units and relationships, and flags missing or inconsistent data before records are committed to Hub.
Give every run a scientific memory.
CONTEXT ENGINERUN BA-2417 · mAb FED-BATCH
BioreactorTelemetry✓
ELN / LIMSExperiments✓
MaterialsGenealogy✓
AssaysQuality✓
BioMedAna HUB
recordrun · phase · material
event · outcome
Scientific
recordrun · phase · material
event · outcome
CONTEXT COMPLETE96% Evidence linked
12 sources · 48 relationships
01 — FOUNDATION BEFORE PREDICTION
A useful twin starts with a trustworthy representation of what actually happened.
02 — FROM SOURCE TO CONTEXT
Connect once.
Keep the science attached.
BioMedAna Hub does more than ingest. It preserves the relationships that make process evidence interpretable and reusable.
Profile & interpret
Schema recognition, runs, phases, timestamps, events, samples and assays
Map to ontology
Materials, genealogy, equipment, scale, CPPs and CQAs
Standardize
Units, relationships and terminology normalized
Validate completeness
Missing fields, exceptions, provenance and version reviewed
Before data is committed to Hub’s canonical scientific record.
03 — KNOW WHAT YOU ARE LOOKING AT
Not rows in a lake.
A living process record.
A run is not just a time series. It is a specific material, setup, sequence of events, operating window and product outcome. Hub makes those relationships explicit and queryable.
- Timeline alignment across online and offline measurements
- Material and seed-train genealogy attached to every run
- Event-aware process phases, exceptions and assay context
Bioreactorlive telemetry
Assaysoffline quality
ELN / LIMSexperiments
Materialsgenealogy
Equipmentscale & geometry
BioMedAna HUBScientific
contextrun · material · phase · event · outcome
contextrun · material · phase · event · outcome
04 — GENEALOGY, TRACED LIVE
Every lot, batch and assay.
Connected, never assumed.
The material-lot → batch → sample → assay chain that a quarantine or an out-of-spec result touches — traced node by node, running continuously so the relationships are never a one-time export.
Sample & Material Genealogy
Live trace forward from a material lot to impacted batches, or backward from an assay exception to contributing materials — running continuously, one relationship revealed at a time.
LOOP1 / ∞
01 · MATERIAL LOTS02 · MANUFACTURING BATCH03 · LIFECYCLE SAMPLES04 · ASSAY RESULTS
Forward lot impact — FEED-LOT-88 (quarantined): contributed to 3 batches and 12 samples. The linked HCP failure (412 ppm) traces back through S-0143 to this feed lot; remaining batches within specification. · tracing 0/14…
05 — ONE RUN, EVERY LAYER ALIGNED
What a run looks like
when nothing is lost.
Phases, online signals, operator events and offline samples — all on one timeline, all pointing at the same process moment. This is the record every investigation starts from.
RUN BA-2417 · mAb FED-BATCH · 200 LONE RECORD · EVERY MEASUREMENT ALIGNED
PHASES
INOCULATIONGROWTHPRODUCTIONHARVEST
ONLINE
SIGNALS
SIGNALS
VCDDOpH
EVENTS
Feed start
DO excursion · resolved
Media lot change
Harvest criteria met
OFFLINE
SAMPLES
SAMPLES
Titer · metabolites · CQAs — matched to the exact process moment
MATERIALS: seed train N-2 → N-1 → N · media lot M-052248 relationships · full provenance ✓
06 — REAL PRODUCT
Evidence your scientists can navigate.
Can six modalities share one evidence chain?
Source file → mapping → canonical record → calculation → reviewable conclusion. Every modality pack reuses the same governed chain while keeping its own science.
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
07 — MODALITY CONTEXT
Same evidence chain.
Different scientific record.
Switch modalities to see how the shared platform core carries different semantics, measurements and decisions.
CHO · FED-BATCH DSP
MAB-DSP-R001
Context completeStarting mass1,040 g
Final mass830.2 g
Recovery79.8%
Purity99.24%
1
Harvest clarification aligned
2
Protein A capture linked
3
8 unit operations traced to drug substance
GLOBAL SEARCH · SAVED VIEWS
RUNBA-2417 · mAb fed-batch12 linked records · complete provenance↗
08 — FIND ANYTHING, KEEP THE CONTEXT
Search across object boundaries.
Never lose provenance.
Runs, batches, materials, samples, projects, reports and formulas are searchable as one governed evidence surface. Save a query as a reusable view and share it with the team.
- Unified search across runs, batches and materials
- Saved, shareable evidence views for recurring investigations
- Scope by object type without losing cross-links
09 — CONNECTED BY DESIGN
Meet the process where it already lives.
BioMedAna connects real-time and historical sources without forcing scientists into another export-and-clean ritual.
01Bioreactors & PAT
02Historians & SCADA
03ELN & LIMS
04MES & lab systems
05Files & enterprise APIs
10 — ONE PLATFORM, EVERY PROGRAM
Built around bioprocess programs.
Not software categories.
The same intelligence layer adapts to different modalities and teams while preserving a consistent way to connect data, investigate process behavior and make decisions.
mAb processes, CHO expression and downstream purification
Protein expression, biosimilars and purification workflows
CAR-T, TIL, NK and other cell-based programs
AAV, lentiviral and other vector-based programs
Bacteria, yeast and fermentation processes
ASO, siRNA and RNA-based purification workflows
Multi-program and CDMO deployment — client isolation with reusable knowledge across programs — is available as a BioMedAna OS capability.
11 — THE HOURS COME BACK
Data preparation is not science.
Stop paying for it twice.
Teams pay once in scientist hours, then again in slower decisions. When Hub keeps the record connected and current, investigation starts at the question — not at the export button.
- Investigations start from an already-aligned record
- Recurring reports draw from live, governed views
- Every team works from the same evidence, not competing spreadsheets
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.
12 — WHO USES THE RECORD
Designed for the teams
closest to the process.
Compare runs and optimize conditions
Support transfer, comparability and investigations
Analyze batch behavior, trends and deviations
Provide governed, reusable data products
Trace evidence, calculations and conclusions
Monitor process maturity and portfolio risk
Start with one process
Make the evidence behind it usable.
Map the systems, run context and scientific decisions that BioMedAna Hub needs to connect.
Design a Hub pilot ↗