On-Demand Webinar: Scalable, Reproducible and Autonomous Cell Manufacturing with AI and Robotics
Automata and CellVoyant integrate intelligent robotics and real-time AI phenotyping to deliver scalable, reproducible cell culture workflows.
Scaling cell culture from bench to manufacturing remains one of the hardest challenges in advanced therapy development.
Variability, subjective decision-making, and late-stage QC signals limit reproducibility and industrial readiness.
In this webinar, Automata and CellVoyant will explore how AI-driven image phenotyping and robotic automation combine to enable true closed-loop cell culture control — shifting from static protocol execution to intelligent, feedback-driven process monitoring and intervention.
Using real-world differentiation case studies, we’ll show how real-time phenotypic insight integrated with automation enables earlier detection, adaptive intervention, and measurable outcome improvements.
We’ll cover:
- Why current cell culture workflows struggle to scale
- The difference between automated execution and true closed-loop control
- How AI-based image phenotyping enables continuous, non-destructive monitoring
- How Automata’s LINQ™ platform and CellVoyant’s FateView™ integrate in practice
- What this unlocks for therapy developers and advanced bioprocess teams
By the end of the session, you’ll understand how robotics and AI-driven phenotyping form a real-time feedback loop, and what this means for scalable, reproducible, and GMP-ready cell manufacturing.
On-Demand Webinar: Scalable, Reproducible and Autonomous Cell Manufacturing with AI and Robotics
Automata and CellVoyant integrate intelligent robotics and real-time AI phenotyping to deliver scalable, reproducible cell culture workflows.
Scaling cell culture from bench to manufacturing remains one of the hardest challenges in advanced therapy development.
Variability, subjective decision-making, and late-stage QC signals limit reproducibility and industrial readiness.
In this webinar, Automata and CellVoyant will explore how AI-driven image phenotyping and robotic automation combine to enable true closed-loop cell culture control — shifting from static protocol execution to intelligent, feedback-driven process monitoring and intervention.
Using real-world differentiation case studies, we’ll show how real-time phenotypic insight integrated with automation enables earlier detection, adaptive intervention, and measurable outcome improvements.
We’ll cover:
- Why current cell culture workflows struggle to scale
- The difference between automated execution and true closed-loop control
- How AI-based image phenotyping enables continuous, non-destructive monitoring
- How Automata’s LINQ™ platform and CellVoyant’s FateView™ integrate in practice
- What this unlocks for therapy developers and advanced bioprocess teams
By the end of the session, you’ll understand how robotics and AI-driven phenotyping form a real-time feedback loop, and what this means for scalable, reproducible, and GMP-ready cell manufacturing.
