analog-in-memory-computing
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Naveen Verma
Naveen Verma is the co-founder and CEO of EnCharge AI and a professor of electrical and computer engineering at Princeton University. He spent roughly six years de-risking a single, stubborn idea - computing with electric charge stored in metal capacitors instead of noisy transistors - before spinning it out of his lab in 2022. The result is analog in-memory computing hardware that his company says runs AI inference at roughly 20 times less energy than a typical GPU, aimed squarely at putting powerful AI on laptops and edge devices rather than in power-hungry data centers. EnCharge has raised more than $144 million, including an oversubscribed $100M+ Series B led by Tiger Global in early 2025, and shipped its first commercial accelerator, the EN100.
EnCharge AI
EnCharge AI is a Santa Clara semiconductor startup, spun out of Princeton University, building AI accelerator chips based on analog in-memory computing. Its charge-based architecture runs heavy AI workloads on laptops, workstations and edge devices at roughly 20x the energy efficiency of conventional GPUs. Its first product, the EN100 accelerator, delivers 200+ TOPS within an 8.25W power budget, aiming to move generative AI out of the data center and onto the devices people actually hold.