AI chip startup EnCharge AI has closed a $100 million Series B funding round.

The oversubscribed round was led by Tiger Global and saw participation from Samsung Ventures and HH-CTBC. It brings the total amount raised by EnCharge AI to more than $144m.

In a statement, the company said it would use the funds to bring its first AI accelerators to market in 2025.

Founded in 2022 after it spun out of Princeton University, EnCharge AI has been developing analog in-memory chip technology which it claims is able to achieve orders-of-magnitude higher compute efficiency and density compared to today's best-in-class solutions.

Analog in-memory compute is a novel chip architecture that combines analog computing techniques with in-memory computing architecture to improve compute efficiency and memory bottlenecks, two challenges associated with traditional approaches to AI compute.

EnCharge AI says it was able to overcome previous hurdles that have been associated with both analog and in-memory chip architectures by leveraging precise metal-wire switch capacitors instead of noise-prone transistors. The result, it claims, is up to 20 times more energy efficient than currently available or soon-to-be-available leading digital AI chip solutions.

The startup says it is the only company to have developed a “robust and scalable analog in-memory AI inference chip” and accompanying software, adding that its chip architecture uses existing semiconductor manufacturing processes, allowing it to rapidly scale production.

"Our Series B is a pivotal milestone for the company that signals our readiness to bring our full-stack AI solutions to market in 2025,” said Naveen Verma, former Princeton University professor and CEO and co-founder of EnCharge. “We are grateful to the fantastic group of investors who will help us unlock the potential of artificial intelligence for countless industries and applications in a way that is sustainable, cost-effective, and scalable.”