Basetwo AI Platform

Basetwo AI Platform is a process intelligence tool designed for manufacturing teams in pharmaceuticals, specialty chemicals, and personal care. It enables process, manufacturing, and quality engineers to build, deploy, and maintain AI-driven models and digital twins without requiring coding expertise. The platform is used by global manufacturers to reduce physical trials, improve product yield, and decrease quality deviations.

Basetwo is structured around a connected workflow — from raw data ingestion through model deployment and real-time monitoring — with built-in regulatory compliance features aligned to GMP and FDA requirements.

Data Integration and Preparation

• Ingests time-series, batch, event, and lab data from historians, MES, LIMS, and ERP systems
• Automates data transformation and combination across diverse source types
• Organizes datasets based on process context without requiring coding knowledge
• Builds reliable, high-performance data pipelines in minutes

Process Visualization and Analysis

• Supports building custom charts and visualizations from prepared, contextualized data
• Enables comparison and analysis of datasets to identify trends, variability, and relationships
• Helps reveal underlying drivers of process behavior to guide operational decisions

AI Digital Twins and Process Simulation

• Supports mechanistic, hybrid, and empirical model types for process simulation
• Provides model templates to accelerate process simulation setup
• Allows construction of end-to-end production flowsheets
• Supports importing existing Python models into the platform
• Validates simulations against real-world operational data

Applications

• Virtual Experimentation: Runs multiple simultaneous what-if analyses to identify optimal operating conditions, supporting scale-up, process development, and tech transfer workflows
• Advanced Process Optimization: Identifies efficient process configurations to improve yield, time-to-market, and energy consumption while maintaining quality
• Real-Time Process Insights: Converts modeling workflows into decision-ready dashboards with real-time dataset connections and monitoring of process performance, quality, and model accuracy metrics

Workflow Building and Deployment

• Drag-and-drop interface for connecting nodes and building end-to-end workflows at scale
• Application Viewer allows workflows to be deployed as accessible applications for broader team use
• Makes process and quality insights available to process, manufacturing, and quality teams through everyday workflows

Compliance by Design

• End-to-end audit trails covering all data, models, and decisions to support transparency and reproducibility
• GMP-aligned verification, change control, and continuous monitoring in alignment with FDA 21 CFR Part 11
• Export of structured logs, audit trails, and model evidence to support FDA inspections and validation workflows
• Role-based access controls, controlled environments, and enterprise-grade security for regulated manufacturing settings

Implementation Workflow

1. Assessment and scoping: Define objectives, collect process data, and evaluate model requirements
2. Model training and validation: Train and validate model templates using historical data
3. Deployment: Deploy and integrate optimization with real-time process data
4. ROI assessment: Evaluate optimized recommendations against the production baseline

Basetwo targets implementation timelines measured in weeks rather than months. The platform serves pharmaceutical, personal care, and specialty chemicals manufacturers, with reported outcomes including over 30% reduction in physical trials, 20% increase in product yield, and 40% fewer quality deviations. Applications include process optimization, soft sensing for quality control, and process development and scale-up.