MemryX

MemryX

Edge AI processing accelerator chips

Overview

MemryX makes AI accelerator chips for edge AI. Its MX3 chip uses a configurable native dataflow architecture and in-memory computing to run AI models without needing manual tuning or retraining, and it can be scaled by adding chiplets to increase performance or reduce latency. The system minimizes data movement, allowing a single software stack to run multiple models across multiple chips efficiently. A distinguishing feature is its DRAM-like integration that simplifies deployment and its ability to support new hardware and AI models with the same software, plus a PC-ready AI accelerator card demonstrated in Lenovo ThinkCentre PCs. MemryX’s goal is to expand edge AI capabilities by providing a scalable, easy-to-use hardware-software stack that lowers barriers to deploying AI at the edge and into consumer/enterprise PCs by selling MX3 chips.

About MemryX

Simplify's Rating
Why MemryX is rated
B-
Rated B on Competitive Edge
Rated B on Growth Potential
Rated C on Differentiation

Industries

Hardware

Enterprise Software

AI & Machine Learning

Company Size

11-50

Company Stage

Series B

Total Funding

$52M

Headquarters

Ann Arbor, Michigan

Founded

2019

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Simplify's Take

What believers are saying

  • June 2026 leadership reset brought Ross Jatou from NVIDIA and onsemi.
  • Automate 2026 launches opened server, USB, and Raspberry Pi channels.
  • Airport and industrial-safety partnerships broaden real-world deployments across transportation and manufacturing.

What critics are saying

  • MX4 depends on a 2026 test chip; any silicon failure pushes sampling past 2027.
  • MemryX still reports only $44 million Series B funding, limiting foundry, packaging, and sales scale.
  • Nvidia, Intel, and Qualcomm already own developer ecosystems; MemryX risks becoming a niche accelerator.

What makes MemryX unique

  • MX3 ships production-proven at-memory dataflow, preserving one software stack across edge deployments.
  • Cascade 100P, 100U, and 100R span servers, USB, and Raspberry Pi.
  • MX4 targets 3D hybrid-bonded memory, extending the same architecture into data centers.

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Funding

Total Funding

$52M

Meets

Industry Average

Funded Over

2 Rounds

Series B funding is typically for startups that have proven their business model and need more funding to expand rapidly—often by entering new markets or adding more products. Investors are usually venture capital firms that specialize in later-stage investments.
Series B Funding Comparison
Above Average

Industry standards

$35M
$44M
MemryX
$45M
Linktree
$65M
Substack
$100M
ClickUp

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Unlimited Paid Time Off

401(k) Retirement Plan

401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

2%

1 year growth

0%

2 year growth

2%
PR Newswire
Jun 22nd, 2026
MemryX expands Cascade platform with three new MX3-powered edge AI modules for servers

MemryX has expanded its Cascade platform with three new AI accelerator products built on its MX3 architecture, enabling deployment from embedded systems to edge servers. The Ann Arbor-based semiconductor company unveiled the products at Automate 2026 in Chicago. The Cascade 100P PCIe Accelerator features 16 MX3 processors in a single-slot, passively cooled card for high-density server deployments and multi-camera applications. The Cascade 100U USB Accelerator integrates two MX3 chips via USB Type-C for adding AI to existing systems. The Cascade 100R Raspberry Pi HAT+ brings hardware-accelerated inference to Raspberry Pi platforms for robotics and industrial applications. All products share a common software environment through MemryX Developer Hub. The company has raised $44 million in Series B funding from investors including HarbourVest and Arm IoT Fund.

PR Newswire
Jun 1st, 2026
MemryX appoints Ross Jatou as CEO to drive AI architecture expansion from edge to data center

MemryX, a developer of AI inference acceleration solutions, has appointed Ross Jatou as chief executive officer and Joe Faris as vice president of sales and marketing. The appointments come as the company expands its AI acceleration architecture from edge applications into data centre opportunities. Jatou brings over 30 years of semiconductor and AI experience, most recently overseeing semiconductor and AI infrastructure initiatives at Alat Corporation. He previously served as senior vice president at onsemi and spent 15 years at Nvidia. He replaces Keith Kressin, who led MemryX since December 2021. Faris joins from Luminar Technologies, bringing more than 20 years of commercial growth experience across global technology sectors. The Ann Arbor-based company has raised $44 million in Series B funding from investors including HarbourVest and Arm IoT Fund.

Lusail Media
Jun 1st, 2026
MemryX appoints Ross Jatou as CEO and Joe Faris as VP of Sales and Marketing to accelerate AI infrastructure expansion.

MemryX appoints Ross Jatou as CEO and Joe Faris as VP of Sales and Marketing to accelerate AI infrastructure expansion. June 1, 2026 Industry veterans join as MemryX expands its production-proven AI architecture from edge deployments into the data center ANN ARBOR, Mich., June 2, 2026 /PRNewswire/ - MemryX Inc., a developer of AI inference acceleration solutions, today announced the appointments of Ross Jatou as Chief Executive Officer and Joe Faris as Vice President of Sales and Marketing. The appointments strengthen MemryX's leadership team as the company expands its commercially deployed AI acceleration architecture from edge applications into emerging data center opportunities. Jatou brings more than 30 years of semiconductor and AI leadership experience spanning engineering, operations, and global business management. He joins MemryX from Alat Corporation, the technology investment and manufacturing entity of Saudi Arabia's Public Investment Fund (PIF), where he oversaw semiconductor and AI infrastructure initiatives. Prior to Alat, Jatou served as Senior Vice President of the Intelligent Sensing Group at onsemi. Earlier in his career, he spent 15 years at NVIDIA, most recently serving as Vice President of Engineering for enterprise, automotive, and AI platforms. "MemryX has built an exceptional engineering foundation and a highly differentiated AI architecture optimized for efficiency and scalability," said Jatou. "As AI infrastructure rapidly evolves, the industry is facing increasing power and deployment challenges across both edge and data center environments. MemryX is uniquely positioned to address those demands with a proven architecture designed to deliver high-performance inference with significantly improved efficiency." Jatou succeeds Keith Kressin, who has served as CEO of MemryX since December 2021. Under Kressin's leadership, MemryX successfully brought its AI inference solutions into production, expanded its global customer engagement, and advanced its software and hardware platform for commercial deployment. "After leading MemryX for the past four years, I'm very pleased to pass the baton to Ross to lead the company through its next stage of growth," said Kressin. "Having brought MemryX to full production with strong operational efficiency and a robust software stack, I believe this is the right moment for a leadership transition. Ross brings extensive executive experience in the global semiconductor space, spanning engineering leadership and P&L roles. MemryX has an exceptional engineering team and a strong fundamental architecture, and I'm confident Ross is well positioned to lead the company forward." Faris joins MemryX as the company expands customer engagement across edge AI, industrial, automotive, and emerging infrastructure markets. He brings more than 20 years of experience leading commercial growth initiatives across global technology sectors. Most recently, Faris served at Luminar Technologies, where he led global teams spanning business development and engineering across automotive and industrial markets. Prior to Luminar, he held leadership roles at onsemi managing applications engineering for sensors and processors and spent nearly a decade in technical roles at Intel and TRW. "AI adoption is increasingly being shaped by efficiency, deployment flexibility, and time-to-production," said Faris. "MemryX has developed a compelling solution that addresses these challenges with a mature hardware and software platform already proven in real-world edge deployments. I'm excited to help expand the company's customer and partner ecosystem as we scale into new markets." "With Ross and Joe joining the leadership team, MemryX is exceptionally well positioned for its next phase of growth," said Rick Bolander, Board Member, MemryX. "Their combined expertise across semiconductor engineering, operations, and global customer engagement strengthens the company's ability to scale commercially while continuing to advance its differentiated AI inference technology. We believe MemryX is entering a significant new stage of market opportunity." About MemryX Inc. MemryX Inc. is a fabless semiconductor company focused on AI inference acceleration, with a production-proven "at-memory" dataflow architecture optimized for high-efficiency AI processing across edge and data center applications. Backed by $44 million in Series B funding from investors including HarbourVest, NEOM Investment Fund (NIF), Arm IoT Fund, eLab Ventures, M Ventures, and Motus Ventures, MemryX is advancing the next generation of AI hardware innovation from its headquarters in Ann Arbor, Michigan. Media Contact

Thailand Business Directory
Apr 14th, 2026
ARBOR, DeepX, and MemryX introduce ai-powered baggage monitoring solution for airports.

ARBOR, DeepX, and MemryX introduce ai-powered baggage monitoring solution for airports. April 14, 2026 By PR Newswire FREMONT, Calif., April 14, 2026 /PRNewswire/ - ARBOR Technology Corp., a global leader in industrial IoT and edge AI computing solutions, in collaboration with DeepX (Deepxhub.com) and MemryX (MemryX.com), announced an AI-powered baggage monitoring solution that brings real-time intelligence to airport operations through edge AI. Modern airports handle high volumes of baggage across complex conveyor systems, where limited visibility and delayed response can lead to disruptions and inefficiencies. Conventional monitoring approaches - dependent on manual oversight or centralized analytics - often fall short in speed and scalability. At the core of the solution is ARBOR's ARES-1983H-AI, an industrial-grade edge AI platform purpose-built for 24/7 operation in harsh and space-constrained environments such as airport baggage handling areas. The platform is designed to ensure reliable, maintenance-free performance under conditions involving vibration, dust, and temperature variation. DeepX contributes its advanced AI-based computer vision technology, enabling accurate detection of baggage flow conditions, including jams, pile-ups, and congestion across conveyor systems. This allows operators to gain immediate visibility into operational disruptions and respond proactively. MemryX enhances the solution with its MX3 M.2 AI Accelerator Module, delivering high-performance, energy-efficient inference at the edge. Supported by public SDK with open-source model, MemryX simplifies AI deployment while ensuring low latency and optimized processing efficiency. Together, ARBOR, DeepX, and MemryX provide a scalable edge AI solution that delivers end-to-end visibility across the baggage handling process. Real-time alerts and intuitive dashboards empower operators to act quickly, improving efficiency and passenger experience. This solution supports deployment across terminals and allows future expansion through AI upgrades and cloud integration, helping airports build smarter, more resilient infrastructure. The information provided in this article was created by Cision PR Newswire, its news partner. The author's opinions and the content shared on this page are their own and may not necessarily represent the perspectives of Thailand Business Directory.

PR Newswire
Apr 14th, 2026
ARBOR, DeepX, and MemryX launch AI baggage monitoring solution for airports

ARBOR Technology, DeepX and MemryX have launched an AI-powered baggage monitoring solution for airports that delivers real-time intelligence through edge computing. The system addresses inefficiencies in conventional baggage handling, where manual oversight and centralised analytics often fail to provide timely responses to disruptions. The solution centres on ARBOR's ARES-1983H-AI, an industrial-grade edge AI platform designed for continuous operation in harsh airport environments. DeepX provides AI-based computer vision technology that detects baggage flow issues including jams and congestion. MemryX contributes its MX3 M.2 AI Accelerator Module for high-performance, energy-efficient processing at the edge. The system offers real-time alerts and dashboards for operators, with scalability across terminals and support for future AI upgrades and cloud integration.

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