EnCharge AI

About EnCharge AI

EnCharge AI develops a scalable analog in-memory computing platform that enhances AI performance by achieving 20 times higher efficiency and 10 times lower total cost of ownership compared to traditional GPU solutions. This technology enables on-device processing, significantly reducing CO2 emissions and ensuring data privacy while making advanced AI accessible beyond cloud infrastructure.

<problem> Traditional GPU-based solutions for AI processing face limitations in scalability, efficiency, and cost, hindering the widespread deployment of AI, especially outside of cloud infrastructure. These limitations also contribute to high energy consumption and increased CO2 emissions. </problem> <solution> EnCharge AI offers a scalable analog in-memory computing platform designed to overcome the limitations of traditional AI hardware. Their technology achieves significantly higher efficiency and lower total cost of ownership compared to conventional GPU solutions. By enabling on-device processing, EnCharge AI reduces reliance on cloud infrastructure, leading to lower CO2 emissions and enhanced data privacy. The platform's versatility allows for deployment across edge-to-cloud environments, broadening access to advanced AI capabilities. </solution> <features> - Analog in-memory computing architecture for improved efficiency and compute density - Compatibility with existing semiconductor supply chains for versatile product integration - Scalable solutions ranging from chiplets and ASICs to standard form-factor PCIe cards - Hardware and software orchestration for seamless deployment between on-device and cloud environments - Reduced CO2 emissions compared to cloud-based or GPU alternatives - Enhanced data privacy and security through on-device and local processing </features> <target_audience> EnCharge AI targets organizations seeking to deploy AI at scale, including those developing edge-to-cloud platforms, client devices, and mobile applications, as well as those concerned with the power consumption and cost of AI. </target_audience>

What does EnCharge AI do?

EnCharge AI develops a scalable analog in-memory computing platform that enhances AI performance by achieving 20 times higher efficiency and 10 times lower total cost of ownership compared to traditional GPU solutions. This technology enables on-device processing, significantly reducing CO2 emissions and ensuring data privacy while making advanced AI accessible beyond cloud infrastructure.

Where is EnCharge AI located?

EnCharge AI is based in Santa Clara, Cuba.

When was EnCharge AI founded?

EnCharge AI was founded in 2022.

How much funding has EnCharge AI raised?

EnCharge AI has raised 44300000.

Who founded EnCharge AI?

EnCharge AI was founded by Sam Heidari and Naveen Verma.

  • Sam Heidari - CEO
  • Naveen Verma - CEO
Location
Santa Clara, Cuba
Founded
2022
Funding
44300000
Employees
48 employees
Major Investors
DARPA
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EnCharge AI

Score: 100/100
AI-Generated Company Overview (experimental) – could contain errors

Executive Summary

EnCharge AI develops a scalable analog in-memory computing platform that enhances AI performance by achieving 20 times higher efficiency and 10 times lower total cost of ownership compared to traditional GPU solutions. This technology enables on-device processing, significantly reducing CO2 emissions and ensuring data privacy while making advanced AI accessible beyond cloud infrastructure.

enchargeai.com2K+
cb
Crunchbase
Founded 2022Santa Clara, Cuba

Funding

$

Estimated Funding

$44.3M+

Major Investors

DARPA

Team (40+)

Sam Heidari

CEO

Naveen Verma

CEO

Company Description

Problem

Traditional GPU-based solutions for AI processing face limitations in scalability, efficiency, and cost, hindering the widespread deployment of AI, especially outside of cloud infrastructure. These limitations also contribute to high energy consumption and increased CO2 emissions.

Solution

EnCharge AI offers a scalable analog in-memory computing platform designed to overcome the limitations of traditional AI hardware. Their technology achieves significantly higher efficiency and lower total cost of ownership compared to conventional GPU solutions. By enabling on-device processing, EnCharge AI reduces reliance on cloud infrastructure, leading to lower CO2 emissions and enhanced data privacy. The platform's versatility allows for deployment across edge-to-cloud environments, broadening access to advanced AI capabilities.

Features

Analog in-memory computing architecture for improved efficiency and compute density

Compatibility with existing semiconductor supply chains for versatile product integration

Scalable solutions ranging from chiplets and ASICs to standard form-factor PCIe cards

Hardware and software orchestration for seamless deployment between on-device and cloud environments

Reduced CO2 emissions compared to cloud-based or GPU alternatives

Enhanced data privacy and security through on-device and local processing

Target Audience

EnCharge AI targets organizations seeking to deploy AI at scale, including those developing edge-to-cloud platforms, client devices, and mobile applications, as well as those concerned with the power consumption and cost of AI.

EnCharge AI - Funding: $30M+ | StartupSeeker