Basetwo: The Modern Alternative to SIMCA
From describing batches to predicting them
SIMCA tells you what happened.
Basetwo tells you what's about to happen, why, and what to do.
Impact Across Pharma Teams
30–50%
Fewer physical experiments
R&D · PROCESS DEVELOPMENT
15–20%
Reduction in yield variability
MANUFACTURING · MSAT
40%
Reduction in OOS events
QUALITY & TECHNICAL
20–30%
Faster tech transfer timelines
TECH TRANSFER · EXTERNAL MFG
The modern AI platform pharma teams choose over SIMCA.
SIMCA is a mature MVDA / PAT specialist for batch monitoring, CPV, and statistical analytics. Basetwo extends process intelligence further, from understanding to prediction, optimization, and operational digital twins across the full lifecycle.
From Process Monitoring to Operational Digital Twins
Basetwo extends process intelligence from MVDA analytics into optimization and operational decision support.
Monitor
MSPC / PAT
Predict
Soft sensors
Understand
Root cause analysis
Correct
APC / setpoint correction
Basetwo
End-to-end process intelligence
Monitor · Predict · Understand · Correct
Basetwo predicts product quality in real time, prevents deviations before they hit QC, and stabilizes the process across the full manufacturing lifecycle. SIMCA users keep the MVDA work they've already done, Basetwo includes PCA, PLS, and OPLS, and layer hybrid mechanistic + ML models on top where scale-up, tech transfer, or optimization demand it.
SIMCA
Monitoring & statistical analytics
Monitor · Predict
30-year industry standard for multivariate analysis, batch monitoring, and statistical process control. A trusted, regulator-familiar tool that excels at understanding historical batch behavior and forecasting from correlated process variables.
Basetwo vs SIMCA in practice.
A side-by-side look at what each platform actually delivers, evaluated against the capabilities that matter most to biologics and small molecule teams.
Basetwo
SIMCA
01
Best fit
End-to-end process intelligence
Predictive digital twins spanning PD, scale-up, tech transfer, and cGMP manufacturing — one
PAT, MVDA, batch monitoring
Multivariate analysis, CPV, and model validation in regulated environments.
02
Modeling approach
High-fidelity hybrid models
Mechanistic + ML models that give root-cause understanding of the underlying biology and
Statistical analysis (PCA, PLS, OPLS)
Latent-variable methods strong on correlation, weak on causal mechanism — can flag deviating
03
Predictive value
Scenario testing & counterfactual RCA
What-if simulation, multi-objective optimization, and post-batch counterfactual
Forecasting & anomaly detection
Strong on batch forecasting and quality prediction from correlated variables.
04
Data pipelining
Agentic data workflows
Built-in agentic pipelines rapidly clean, transform, and harmonize raw historian, LIMS,
Manual file-based imports
No native data pipelining. Teams clean and harmonize CSV / Excel by hand before any
05
Integrations
Native pharma connectors
OSI PI, ELN / LIMS, MES, data lakes, REST APIs, and DCS / SCADA setpoint write-back for APC.
File-based handoffs
OPC and PI connectors available; pairs with MODDE for DoE. Limited automation across the
06
Platform breadth
Models port across PD & manufacturing
The same hybrid model carries from bench scale through pilot and cGMP commercial — no rebuild
Narrow: MVDA / PAT focus
Focused on multivariate analytics and real-time batch monitoring.
07
Collaboration
Collaborative & workflow-oriented
Browser-based shared workspace. Role-based access. Engineers, operators, and quality teams
Specialist & analytics-centric
Built for statisticians and modeling experts. Desktop seat licenses, .usp project files shared
08
GMP & validation
GMP-aligned & auditable
Verification, change control, audit trails, 21 CFR Part 11 / Annex 11 alignment.
Long-standing regulated use
Established 21 CFR Part 11 support and decades of regulator familiarity.
What Basetwo does
One platform, five integrated layers at your team's fingertips.
SIMCA solves one slice of the workflow and assumes you've already integrated the data. Basetwo replaces the whole stack: from raw historian data through deployed dashboards, built so everyday scientists and engineers can own the model, and operators can act on it.
STAGE 01
Data ingestion
- OSI PI & historians
- ELN / LIMS / MES
- Data lakes & warehouses
- Excel & PDF batch records
STAGE 02
Agentic data transformation
- Time-series alignment
- Outlier & gap handling
- Batch & phase tagging
- Visualization and analysis
STAGE 03
Hybrid modeling
- Mechanistic + ML
- MVDA, PCA, PLS included
- Extrapolates safely
- Explainable to regulators
STAGE 04
Applications
- Scale up
- Tech transfer
- Quality monitoring and control
- Upstream & downstream
STAGE 05
Dashboards & deployment
- Live operator dashboards
- Real-time analysis
- Decision-ready insights
The end-to-end solution for your most important processes.
CGMP MANUFACTURING
Continuous Process Verification (CPV)
Continuously verify commercial batches stay within validated ranges. Mechanistically decompose deviations into equipment vs. biological causes.
CGMP MANUFACTURING
Golden batch analysis & APC
Predict and control batch variability to minimize deviations batch. Real-time soft sensors for CQAs.
CGMP MANUFACTURING
Real-time quality control
Predict CQAs in real time and surface 3–5 ranked intervention recommendations with predicted outcomes; operators correct a batch before it hits spec.
PILOT & R&D SCALE
Predictive scale-up
Evaluate process conditions in-silico, from feedstrategies and reactor setpoints to intensification, before committing to lab or pilot time.
PILOT & R&D SCALE
Virtual experimentation
Cut physical trials and manual tuning by up to 50% with digital twins and AI-driven DoE that identify ideal process parameters.
TECH TRANSFER
Right-first time tech transfer
Re-parameterize digital twins for receiving-site equipment.Typically 4–6 engineering runsinstead of the usual 12–18.
Explore Basetwo for your workflows today
Frequently
Asked Questions