AI Robots Enter the Laboratory
How can artificial intelligence deeply integrate with physical laboratories to achieve exponential leaps in research efficiency? C12.ai's laboratory solutions power intelligent upgrades in pharmaceutical R&D, serving the life sciences and fine chemicals industries with LabBot — an AI robot that truly understands the lab.
China's 2025 Government Work Report explicitly called for "continued advancement of 'AI+' initiatives," listing intelligent robotics as a key driver for cultivating new productive forces. At the national level, the Implementation Plan for Promoting Future Industry Innovation designated embodied intelligence as a core direction for the future information industry, calling for "strengthened forward deployment and breakthroughs in key hardware and software technologies." Multiple cities have released dedicated policies, including Beijing's Action Plan for Accelerating 'AI + Pharmaceutical Health' Innovation (2025–2027). For the life sciences and fine chemicals industries, intelligent transformation has shifted from optional to essential.
AI + Robotics
"How can artificial intelligence deeply integrate with physical laboratories to achieve exponential leaps in research efficiency?"
C12.ai's laboratory solutions power intelligent upgrades in pharmaceutical R&D, serving the life sciences and fine chemicals industries with "LabBot — an AI robot that truly understands the lab."
Equipped with a full-chain multimodal agent spanning perception, decision-making, and execution, LabBot is redefining the boundaries of the laboratory. Through high-precision force-controlled robotic arms and 3D visual recognition, it performs delicate operations such as liquid weighing and hazardous reagent dosing, and autonomously completes 12 core procedures including extraction, rotary evaporation, and centrifugation — running 24/7, year-round, ready to respond to urgent R&D demands.
Powering Research with an "Intelligent Engine"
Efficiency Revolution
LabBot generates multiple synthesis routes in just 5 minutes while intelligently designing experimental conditions and optimizing formulations. It improves experiment success rates, effectively reduces trial-and-error iterations, and compresses decision-making time from hours to "the time it takes to brew a cup of coffee."
Beyond Human Limits
By leveraging reinforcement learning to break through human cognitive biases, LabBot designed a route for a critical drug intermediate that required 2 fewer reaction steps than the literature route, reducing costs by 30%.
Knowledge Accumulation
Every experiment's data automatically flows back to train the model, transforming individual expertise into a corporate "digital asset library." Even junior researchers gain decision support equivalent to a 20-year veteran.
The Lab Enters "Always-On" Mode
When highly toxic reagents and hazardous reactions become roadblocks to research, and when human error and data gaps slow the pace of innovation, our intelligent robot reshapes the fundamental logic of the laboratory with absolute precision, absolute safety, and absolute reliability.
- Safer: Hazardous operations are fully automated with zero compromise on research safety. The robot handles toxic and sensitizing reactions, eliminating safety risks for lab personnel.
- More Efficient: Breaking through human limits with 24/7 uninterrupted operation at 3× the efficiency of manual work.
- More Standardized: Operations follow strict protocols for highly reproducible experiments. Experiment videos, environmental parameters, and equipment logs are automatically archived across all dimensions.
Reshaping the Research Paradigm and Core Competitiveness
Research Model Upgrade: Traditional research relies on human labor and experience, limiting efficiency. Today, AI and robotics are driving a paradigm shift: humans generate ideas while AI and robots handle implementation and validation, dramatically boosting research efficiency and freeing scientists to focus on innovation.
Data-Intelligence Closed Loop: Building a "Data → AI → Experiment → Data" closed loop where data drives AI-generated solutions, robots execute experiments, and new data feeds back to optimize AI. This cycle accelerates AI evolution, speeds up research progress, and drives continuous innovation.
Core Asset Transformation: Data, AI, and robotics are becoming the new core research assets, replacing traditional human-labor advantages. Organizations that master these elements will build powerful competitive advantages and lead the next wave of technological development.
About the Team
Founder Chen Zhigang brings 20 years of cross-disciplinary experience spanning pharmaceutical/healthcare and AI. He previously served as Chief Digital Officer at WuXi AppTec, founded Tencent's Medical Big Data Lab, and was Chief Architect at Alibaba Health.
The team comprises cross-industry experts from top universities including the University of Michigan, Peking University, National University of Singapore, and Zhejiang University — a taskforce that "understands both beakers and algorithms."
For more information, visit the C12.ai website (www.c12.ai) for the latest company news and updates.