EnCharge AI

Proud to see our debut accelerator EN100 in @EDNcom's Top 10 Edge AI Chips by @sallywf. Using less power than a lightbulb, EN100 delivers 200+ TOPS of computing capacity to unlock the most advanced AI in every environment. Read the full roundup: edn.com/top-10-edge-ai…

Technological dexterity is a strategic imperative, per @CSIS, and long-game advantage comes from compounding cross-domain strengths. Ultra-efficient AI compute sits at the center of that progress, and that's exactly what EnCharge has built. enchargeai.com/news-and-publi…

Energy efficiency doesn't just solve the power and memory problem. It unlocks entirely new categories of AI applications that were previously impossible. Our latest thoughts, from our Chief Scientist, Shwetank Kumar. enchargeai.com/news-and-publi…

Excited to share that we’ve been named one of @TechCrunch’s 49 US AI startups that raised $100M or more in 2025. Huge thanks to our team, partners, and investors who made this milestone possible. We’re excited to keep building the future of AI compute. techcrunch.com/2025/11/26/her…

Our CEO Naveen Verma joined How I Raised It to talk about EnCharge AI’s origins, how we built the company, and the strategy behind our Series A and $100M Series B this year. A great breakdown of the choices and milestones that have shaped our path. youtube.com/watch?v=oLc7kY…

The Sept 27th All-In Podcast covered a paper in Nature Computational Science claiming 7,000× speedups and 70,000× energy efficiency gains. Caveats? It’s not that simple, and it’s not that new. Read more: open.substack.com/pub/aiafterhou…

The U.S. is losing ground on the AI-defined battlefield, not for lack of models, but for lack of ultra-efficient chips to run them at the tactical edge. The tech is here. Our analog IMC makes this real. What’s missing isn’t innovation, it’s deployment. csis.org/blogs/strategi…

Today’s GPUs waste 95% of inference energy moving data between memory and compute. We're eliminating that commute with analog in-memory compute that processes data where it lives, for 20x efficiency gains and a dramatic drop in data center power demand. bain.com/insights/can-t…

Proud to see our co-founder & CEO Naveen Verma take the stage as a featured innovator at #CPI2025. Thank you @Princeton for spotlighting our mission to enable a new era of advanced AI at the edge.

💡 Empathy doesn’t mean going easy on people. Naveen Verma @EnChargeAI , Princeton professor turned startup CEO , has learned that being an empathetic leader sometimes means making hard calls and making them quickly. In this clip, he shares why compassion in leadership still requires clarity and firmness, and why in a startup, you can’t “coach someone forever” into the right fit. Sometimes the most caring thing you can do is push someone to grow. Sometimes, it’s also knowing when to part ways. ⚖️ Balancing empathy and performance isn’t easy, but it’s one of the most important, and toughest, lessons for any leader who’s building under pressure. 🎧 Hear Naveen’s full journey. From the lab to leading a fast-growing team on From Start-Up to Grown-Up. lnkd.in/ewqPBg9G

With AI increasingly taking over critical workflows and vital activities, security is a fundamental component of AI’s utility. At @WebSummit Vancouver, our CEO Naveen Verma and @cerebras' Naor Penso discussed the impact of security in all aspects of #AI architecture.

Traditional chips quickly hit a wall when trying to deliver AI within the confines of a laptop. But, as highlighted by @eetimes, we’ve cracked the code with our flagship EN100 AI accelerator. eetimes.com/encharge-picks…

At this year’s @WebSummit in Vancouver, our CEO Naveen Verma & @cerebras' @PNaor explored why current chip architectures can’t sustainably handle AI’s computational demands and the critical need for specialized hardware in a session moderated by the @guardian's @darakerr.

Learn more: env1.enchargeai.com

Introducing EN100, the first commercial analog in-memory AI accelerator delivering 200+ TOPS for edge devices. EN100 establishes the foundation for an entirely new era of computing. Learn more by heading to the link below.

AI could consume 500 TWh/year by 2027. That's almost like adding a new France to the grid! At #WebSummitVancouver on May 29, our CEO Naveen Verma explores how rethinking chip architecture can make AI more accessible and sustainable. Join us: vancouver.websummit.com

ChatGPT uses ~10x more energy than a @Google search, and AI demand is surging. EnCharge is tackling the energy crisis with analog in-memory computing, cutting power use by up to 20x vs. today’s chips. No more data shuttling. Just fast, efficient AI.

Click the link to watch the full fireside chat: youtube.com/watch?v=NGbx-X…

Engineering at EnCharge isn’t about following established patterns, it’s about rethinking them entirely. Watch CEO Naveen Verma share why joining EnCharge means being part of a team that’s making a real impact in the AI hardware space. enchargeai.com/careers