EnCharge AI
Santa Clara, US · Founded 2022 · 113 employees on LinkedIn · 16 known investors
EnCharge AI develops advanced hardware and software solutions for AI computing, focused on semiconductor design and AI systems optimization. The company serves the AI computing market with next-generation chip architectures and systems.
Also known as EnCharge · EnCharge AI, Inc.
Founders & leadership
EnCharge AI was founded in 2022 by Naveen Verma, Kailash Gopalakrishnan, and Echere Iroaga.
Investors · 16
Also in the syndicate · 6
Company profile
researched Aug 2026EnCharge AI develops hardware and software for AI computation based on analog in-memory computing, positioning the approach as an alternative to GPUs and digital AI accelerators for inference workloads. The company states its silicon is fully validated and pairs the hardware with flexible software for deployment across edge-to-cloud platforms.
The company's technology is offered in multiple form factors, including chiplets, ASICs and standard PCIe cards, and is described as leveraging the existing semiconductor supply chain so it can be integrated into partner and customer systems. EnCharge AI frames the target outcomes of its architecture as lower power and space requirements, lower cost of ownership, on-device processing independent of network connectivity, and local handling of sensitive data for privacy and regulatory compliance.
Business model
Supplies AI inference hardware and accompanying software to partners and customers, delivered as chiplets, ASICs and standard form-factor PCIe cards for integration into their own systems.
Traction
The company cites team-level credentials of over 350 million chips shipped, more than 150 granted patents and more than 300 technical publications, and lists media coverage of its edge AI silicon.
Latest developments
The company's news feed references coverage of its accelerator delivering roughly 200 AI TOPS at about 8 watts, in-memory computing for on-device AI applications, US defense interest in AI chips for the tactical edge, and a listing of US AI startups that raised $100 million or more in 2025.
▸Full profile — market position, technology, go-to-market
Market position
Positions itself against GPUs and digital AI accelerators, which it characterizes as fundamentally limited for AI at scale, by competing on inference efficiency, compute density, cost and emissions rather than raw general-purpose compute.
Analog in-memory computing implemented on the existing semiconductor supply chain, validated in silicon, and offered across multiple form factors; the company cites a leadership and engineering team with more than 20 years of work in AI hardware, software and algorithms.
Technology
Analog in-memory computing for AI inference, described by the company as the only scalable and robust implementation of the approach, with silicon-measured results cited at 20x higher energy efficiency (TOPS/W) and 9x higher compute density (TOPS/mm2) versus industry-leading products, 10x lower total cost of ownership per inference or token, and 100x lower CO2 emissions than cloud alternatives. Software supports orchestration between on-device and cloud deployment.
Go-to-market
Sells hardware and software into partner and customer solutions in a range of form factors (chiplets, ASICs, PCIe cards), supported by published technical work and media coverage of its chips.
Partners and customers building AI systems across edge-to-cloud platforms, including local servers and mobile or compact on-device products where power, space, cost, connectivity or data-privacy constraints apply.
Compiled by commissioned research from 1 cited public sources — announcements, filings, and press listed under research sources below.
Key figures
latest reportedCompany-reported or press-reported figures, each dated to when it was claimed — not independently audited.
In the news
▸Research sources · 1
primary sources listed
- EnCharge AIenchargeai.com · web
1 public sources were cited for this profile; the first-party ones are listed here.
Frequently asked questions
- What does EnCharge AI do?
- EnCharge AI builds analog in-memory computing chips and software for energy-efficient AI inference from edge to cloud.
- Who founded EnCharge AI?
- EnCharge AI was founded by Naveen Verma, Kailash Gopalakrishnan, Echere Iroaga in 2022.
- Who are EnCharge AI's investors?
- EnCharge AI's investors include ACVC Partners, AlleyCorp, Anzu Partners, Constellation Technology Ventures, Scout Ventures, Scout Ventures, SIP Global Partners, The E14 Fund and 2 more.
- Where is EnCharge AI headquartered?
- EnCharge AI is headquartered in Santa Clara, US.