- AI streamlines electric vehicle battery R&D, reducing development time
- Six-month design cycle achieves 300% better battery performance
- Focus on creating eco-friendly batteries, avoiding cobalt and nickel
- Continuous improvement ensures constant evolution of battery designs.
Chemix, a startup, is revolutionizing battery design and R&D using AI, dramatically reducing the time it takes to develop electric vehicle batteries. Picture a San Francisco Bay Area lab filled with glowing machines reminiscent of servers in a data center, physically testing various battery chemistries. The company’s software platform, Mix, then uses the data to design new batteries for testing, speeding up the process significantly. This “battery R&D on autopilot” leads to better battery performance in just six months.
Working directly with EV manufacturers, Chemix aims to create environmentally friendly alternatives. They have already developed a battery for UBCO, a New Zealand-based company making off-road electric motorbikes, without the use of controversially mined metals like cobalt and nickel. With continuous improvement, the AI-driven process never stops refining battery designs, pushing the industry forward.
The startup collaborates with manufacturers to bring its designs to life, utilizing existing lithium-ion battery manufacturing processes to scale quickly and minimize risk. The approach parallels how AI is transforming drug discovery, with AI, statistics, and data-driven methods working together to revolutionize the industry.
