EnCharge AI Raises $100M Series B to Advance AI Chip Commercialization
EnCharge AI is developing analog in-memory computing AI chips, delivering high-efficiency AI computing solutions for edge-to-cloud applications.
Company: EnCharge AI
Location: Santa Clara, CA
Industry: Hardware
Funding Details:
- Amount: $100M
- Round: Series B
- Lead Investor: Tiger Global
- Participants: Maverick Silicon, Capital TEN, SIP Global Partners, Zero Infinity Partners, CTBC VC, Vanderbilt University, Morgan Creek Digital, Samsung Ventures, HH-CTBC. Previous investors RTX Ventures, Anzu Partners, Scout Ventures, AlleyCorp, ACVC, and S5V also participated.
- Total Raised to Date: $144M
What EnCharge AI Does:
EnCharge AI is developing analog in-memory computing AI chips, delivering high-efficiency AI computing solutions for edge-to-cloud applications. The company’s proprietary in-memory computing technology integrates analog processing with memory, enabling greater compute density and efficiency than traditional AI chips.
Use of Funds:
- Commercialize its first client computing-focused AI accelerator products in 2025
- Expand its product roadmap for future AI hardware advancements
Leadership Team:
- Naveen Verma, CEO
Why It Matters:
By leveraging in-memory computing, EnCharge AI is positioned to disrupt traditional AI chip architectures, offering faster, more power-efficient AI computing for a range of applications from edge devices to cloud infrastructure.
