EnCharge AI
Category: AI Chips / Semiconductors
EnCharge AI specializes in AI hardware and software systems, offering advanced AI computation technology for power, energy, and space-constrained applications. EnCharge AI was founded in 2022. The company is led by Naveen Verma. Based in 4500 Great American Parkway, Suite 230, Santa Clara, California, 95054, United States. Team size: 50. Total funding raised: Over $144 million. Latest round: Series B. Key investors include Tiger Global, Samsung Ventures, HH-CTBC, Maverick Silicon, Capital TEN, SIP Global Partners, Zero Infinity Partners, CTBC VC, Vanderbilt University, Morgan Creek Digital, In-Q-Tel (IQT), Constellation Technology Ventures, RTX Ventures, Anzu Partners, Scout Ventures, AlleyCorp, ACVC, S5V, VentureTech Alliance.
- Founded
- 2022
- Headquarters
- 4500 Great American Parkway, Suite 230, Santa Clara, California, 95054, United States
- Team size
- 50
- Total funding
- Over $144 million
Value proposition
Provides highly flexible and cost/power-efficient AI enablement across various applications
Products and solutions
EN100 analog in-memory AI accelerator (200+ TOPS INT8) for laptops, workstations and edge devices (M.2 and PCIe form factors), full-stack hardware/software for edge-to-cloud AI inference
Unique value
Focuses on in-memory computing, reducing energy usage by processing data where it is stored.
Target customer
Businesses requiring AI capabilities in power, energy, and space-constrained applications, such as edge computing and cloud platforms
Industries served
AI PCs / client computing (laptops, workstations), edge devices, defense / tactical edge, industrial and automotive sensing
Technology advantage
Decreases data movement, enhancing efficiency and reducing power consumption.
How they differentiate
Focus on in-memory computing and application in power-constrained environments.
Main competitors
Axelera AI BV, d-Matrix Corp., Graphcore
Key partnerships
Princeton University, DARPA / US DoD (OPTIMA), TSMC (foundry for first commercial chips), National Semiconductor Technology Center (NSTC)
Major milestones
2022 Series A $21.7M launch, 2023 Series B $22.6M, 2024 DARPA OPTIMA $18.6M with Princeton, 2025 Tiger Global-led $100M Series B (>$144M equity total), EN100 product launch (May 2025), NSTC membership, Frost & Sullivan 2025 Global Technology Trailblazer
Growth metrics
Rapid growth since founding, with increased Mosaic Score indicating improved financial health and market potential.
Market positioning
Leader in edge-to-cloud AI solutions with a strong emphasis on efficiency and scalability.
Geographic focus
Primarily operates in the US, with partnerships involving US-based institutions like Princeton University and the DoD.
Patents and IP
Foundational 'Configurable In-Memory Computing Engine' patent (Princeton / Verma); CEO received 2024 Edison Patent Award in Computing Technology for this IP
About Naveen Verma
Professor of electrical and computer engineering at Princeton University since 2009; led ~6–7 years of analog in-memory computing research and multiple silicon prototype generations foundational to EnCharge; co-founded EnCharge AI in 2022; directs Princeton’s Keller Center; B.A.Sc. UBC, M.S./Ph.D. MIT
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Official website: https://enchargeai.com
