EnCharge AI
Founded Year
2022Stage
Series B - II | AliveTotal Raised
$162.9MLast Raised
$100M | 9 mos agoMosaic Score The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.
+78 points in the past 30 days
About EnCharge AI
EnCharge AI focuses on hardware and software solutions for AI computing within the semiconductor design and AI systems development sectors. The company provides in-memory computing technology that aims to improve compute efficiency and density compared to existing solutions. These architectures are intended to address the needs of power, energy, and space-constrained applications. It was founded in 2022 and is based in Santa Clara, California.
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EnCharge AI's Product Videos
ESPs containing EnCharge AI
The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.
The compute-in-memory (CIM) market (also called processor-in-memor, in-compute memory, or computational memory) combines data storage and computational processing within the same memory unit. Instead of the traditional model where data is transferred between separate processing and storage units, CIM performs computations where the data is stored. These solutions significantly reduce data movement…
EnCharge AI named as Highflier among 15 other companies, including IBM, Cerebras, and Hazelcast.
EnCharge AI's Products & Differentiators
EnCharge AI
EnCharge AI is developing AI computing platforms, comprising hardware and software, to provide highly-flexible, highly power/cost-efficient enablement of AI across the most advanced applications. The product portfolio spans deployment across near-sensor specialty platforms, edge gateways, on-premise servers, and network-edge servers. The software stack enables seamless integration with standard user development and deployment flows, as well as seamless adoption across the deployments. The platform provides turn-key support of broad AI model operators and customizations, achieving industry-best performance and efficiency to unlock the most advanced AI innovation in user applications.
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Research containing EnCharge AI
Get data-driven expert analysis from the CB Insights Intelligence Unit.
CB Insights Intelligence Analysts have mentioned EnCharge AI in 2 CB Insights research briefs, most recently on Oct 24, 2025.
Sep 13, 2024
The AI computing hardware market mapExpert Collections containing EnCharge AI
Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.
EnCharge AI is included in 2 Expert Collections, including Semiconductors, Chips, and Advanced Electronics.
Semiconductors, Chips, and Advanced Electronics
7,492 items
Companies in the semiconductors & HPC space, including integrated device manufacturers (IDMs), fabless firms, semiconductor production equipment manufacturers, electronic design automation (EDA), advanced semiconductor material companies, and more
Artificial Intelligence (AI)
20,629 items
Latest EnCharge AI News
Oct 13, 2025
類比人工智慧(AI)加速器新創公司EnCharge AI首款產品基於EnCharge的電容型類比記憶體內運算技術，據稱可實現40TOPS/W以上的能效… The post 新創公司首款類比AI晶片瞄準PC市場 appeared first on 電子工程專輯.
EnCharge AI Frequently Asked Questions (FAQ)
When was EnCharge AI founded?
EnCharge AI was founded in 2022.
Where is EnCharge AI's headquarters?
EnCharge AI's headquarters is located at 4500 Great American Parkway, Santa Clara.
What is EnCharge AI's latest funding round?
EnCharge AI's latest funding round is Series B - II.
How much did EnCharge AI raise?
EnCharge AI raised a total of $162.9M.
Who are the investors of EnCharge AI?
Investors of EnCharge AI include Scout Ventures, Anzu Partners, AlleyCorp, VentureTech Alliance, RTX Ventures and 26 more.
Who are EnCharge AI's competitors?
Competitors of EnCharge AI include SiMa.ai and 7 more.
What products does EnCharge AI offer?
EnCharge AI's products include EnCharge AI.
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Compare EnCharge AI to Competitors
d-Matrix specializes in AI inference technology within the computing sector. The company offers a platform named Corsair, which is designed to provide low-latency processing for generative AI applications. Corsair is a solution for data centers, aiming to make AI inference viable by addressing the balance between speed and efficiency. It was founded in 2019 and is based in Santa Clara, California.
Groq specializes operates as an AI inference technology within the semiconductor and cloud computing sectors. The company provides computation services for AI models, ensuring compatibility and efficiency for various applications. Groq's products are designed for both cloud and on-premises AI solutions. It was founded in 2016 and is based in Mountain View, California.
Synthara specializes in in-memory computing integration for embedded chips, focusing on speed and energy efficiency in the semiconductor industry. The company's main product, ComputeRAM™, performs computations directly within memory, thereby eliminating bottlenecks and impacting the performance of AI applications. Synthara's solutions cater to various sectors, including wearables, robotics, and automotive semiconductor design. It was founded in 2019 and is based in Zurich, Switzerland.
Axelera AI specializes in AI hardware acceleration for generative AI and computer vision inference within the technology sector. The company offers products such as AI acceleration hardware and software solutions that facilitate advanced computer vision and AI capabilities at the edge. It offers products that are designed to enhance the performance of AI applications, providing a cost-effective and user-friendly platform for innovation in AI. It was founded in 2021 and is based in Eindhoven, Netherlands.
FuriosaAI focuses on designing AI accelerators for the AI and computing industry. The company provides AI accelerators for large language models, multimodal applications, and computer vision, with a focus on AI inference performance in data centers. FuriosaAI serves sectors that require AI processing capabilities, including the enterprise and cloud computing industries. It was founded in 2017 and is based in Seoul, South Korea.
Fractile develops chips for AI model inference, focusing on large language models. The company aims to reduce the time and cost of processing by addressing bottlenecks in existing hardware through the integration of computation and memory. Fractile was formerly known as Neu Edge. It was founded in 2022 and is based in Newbury, United Kingdom.
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