Connect
Bioreactors, PAT, historians, ELN, LIMS, MES, analytics and files
BioAna Hub
Connect fragmented process and quality data. Align it to the run, material, equipment, assay and modality context that makes it useful.
12 sources · 48 relationships
01 — FOUNDATION BEFORE PREDICTION
02 — FROM SOURCE TO CONTEXT
BioAna Hub does more than ingest. It preserves the relationships that make process evidence interpretable and reusable.
Bioreactors, PAT, historians, ELN, LIMS, MES, analytics and files
Runs, phases, timestamps, events, samples and assays
Materials, genealogy, equipment, scale, CPPs and CQAs
Data quality, units, exceptions, provenance and version
03 — KNOW WHAT YOU ARE LOOKING AT
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.
04 — ONE RUN, EVERY LAYER ALIGNED
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.
05 — REAL PRODUCT
Source file → mapping → canonical record → calculation → reviewable conclusion. Every modality pack reuses the same governed chain while keeping its own science.
Source file → mapping & validation → canonical record → calculation → reviewable conclusion → frozen evidence.
06 — MODALITY CONTEXT
Switch modalities to see how the shared platform core carries different semantics, measurements and decisions.
Harvest clarification aligned
Protein A capture linked
8 unit operations traced to drug substance
07 — FIND ANYTHING, KEEP THE CONTEXT
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.
08 — CONNECTED BY DESIGN
BioAna connects real-time and historical sources without forcing scientists into another export-and-clean ritual.
09 — ONE PLATFORM, EVERY PROGRAM
The same intelligence layer adapts to different modalities and teams while preserving a consistent way to connect data, investigate process behavior and make decisions.
mAbs, proteins, ADCs, biosimilars and vaccines
Cell therapy, AAV, lentiviral and other vector-based programs
Bacteria, yeast, recombinant proteins and fermentation processes
ASO, siRNA, RNA-based processes and purification workflows
Client isolation with reusable knowledge across programs
10 — THE HOURS COME BACK
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.
Illustrative split, based on how bioprocess teams commonly report their analysis time. Actual results depend on systems, scope and deployment.
11 — WHO USES HUB
Start with one process
Map the systems, run context and scientific decisions that BioAna Hub needs to connect.
Design a Hub pilot ↗