Basetwo

Basetwo is an AI platform designed for process engineers and manufacturing teams, providing low-code tools to optimize manufacturing operations in real time. The platform covers the full production lifecycle, from process development and scale-up through to commercial manufacturing, and serves customers across the pharmaceutical, personal care, and specialty chemicals industries. Basetwo's customer base includes 5 of the top 10 pharmaceutical companies, 3 of the top 5 personal care companies, and top-5 chemical manufacturers.

The platform is built around three core workflow stages: connecting plant and lab data sources, building explainable digital twin models, and delivering actionable recommendations to engineers. It is deployed across Europe, Asia, and North America, and is used by Fortune 500 manufacturers. Basetwo has been named a Top 50 SaaS company by Bain Capital, selected for the AWS Gen AI Accelerator, and has received awards including Merck's Novel Product recognition.

Platform Capabilities

• Data connectivity: Connects and joins plant and lab databases, including integrations with systems such as OSI-Pi and lab data sources, with built-in data preparation functionality.
• Digital twin development: Enables engineers to build explainable, interpretable process models (digital twins) that can be understood by both engineers and regulators.
• AI-powered recommendations: Delivers recommended process actions — such as adjustments to feed flowrate, steam flowrate, and compressor speed — along with associated yield increase and cost savings estimates.
• Soft sensing for quality control: Real-time soft sensors predict deviations and support corrective actions before quality issues occur, targeting an 80% reduction in deviations.
• Virtual experimentation: Supports a shift from physical experiments to virtual experiments via digital twins, aimed at accelerating development, scale-up, and technology transfers.
• Low-code model building: Process modelers can create and share custom-built models of existing processes without extensive coding, streamlining model development workflows.

Applications

• Process Optimization: AI-driven setpoint recommendations designed to reduce raw material consumption, energy use, and cycle time, targeting a 20–40% reduction in manufacturing costs and cycle time.
• Soft Sensing for Quality Control: Predictive monitoring to detect and address deviations in real time, supporting consistent product quality.
• Process Development and Scale-Up: Digital twin-based tools to accelerate development timelines and manage scale-up and technology transfers, with a reported 40–50% reduction in experimentation time and time to market.

Industry Solutions

• Pharmaceuticals: Supports both small molecule and biologics production, with a focus on optimal process setpoints and product quality assurance.
• Personal Care: Addresses process optimization for personal care manufacturing operations.
• Specialty Chemicals: Covers optimization of paint, coating, and adhesives manufacturing processes.
• Consumer Packaged Goods: Supports streamlining of production processes to improve product quality and speed to market.

Users and Roles Served

• Manufacturing Directors: Access to AI-driven insights for identifying inefficiencies, supporting data-driven decision-making, and tracking KPIs.
• Process Engineers: Advanced analytics and process modeling tools, including digital twins, to explore and optimize production stages and understand interactions between process variables.
• Process Modelers: Tools to develop, tailor, and share process models, with an emphasis on workflow efficiency and model reusability.

Company and Leadership

• Headquartered in Toronto, Ontario, with additional offices in Boston, MA and Abu Dhabi, UAE.
• Led by CEO Thouheed Abdul Gaffoor (repeat founder, former Head of AI at Autodesk), COO Thamjeeth Abdul Gaffoor (repeat founder, former Controller at Autodesk), CTO Tawfeeq Abdul Gaffoor (former software engineer at Lyft, Databricks, and Uber), and Chief Customer Officer Kiefer Eaton (former Johnson & Johnson and Eversana).
• Backed by named investors and has received recognition from Bain Capital and AWS, among others.