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EnCharge AI

AI hardware and software systems for edge computing

EnCharge AI logo
1-20 employees
  • B2B
  • Artificial Intelligence
  • Deep Tech
  • Machine Learning
Santa Clara, CA

Company mission

To reimagine computing to meet the needs of cutting-edge AI.

Our take

EnCharge AI was founded in 2022 by a team of experienced technology professionals with expertise in semiconductor design and AI systems. The company is working on developing advanced AI accelerators that can be utilized for Edge-Cloud computing deployments.

Like most AI hardware startups, EnCharge is targeting edge computing use cases however, the company's unique processor design utilizes charge-based memory. Unlike conventional memory, this design reads data from the electrical current on a memory plane instead of individual bit cells.

Although relatively new to the market, the company has already established itself as a pioneer in cutting-edge AI hardware and software systems designed for edge computing. EnCharge has already secured five patents for its work and while it doesn't expect to ship a production-ready device until early 2024, it's already in active discussion with potential customers.

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Steph

Company Specialist at Welcome to the Jungle

Funding (last 2 of 3 rounds)

Mar 2024

$18.6m

GRANT

Dec 2023

$22.6m

EARLY VC

Total funding: $62.9m

Leadership

A Professor of Electrical and Computer Engineering at Princeton University since 2009, where they have pioneered research in a range of emerging technologies and systems.

Over two decades of experience and leadership in AI, silicon devices, and chip architectures. Previously worked at IBM in multiple roles and is now a Fellow.

Previously the VP and General Manager of MACOM's connectivity business unit. Prior to MACOM, they founded Renovus (acquired by Ikanos Communications) and held engineering and management positions at Qualcomm, Teradyne, and Texas Instruments.