Untether AI

Untether AI

Provides at-memory AI inference hardware

Overview

Untether AI focuses on speeding up AI inference by using at-memory computing, which places compute close to memory cells to boost density and efficiency. The company ships runAI200 devices and tsunAImi accelerator cards, designed to deliver high performance within a PCI-Express form factor for tasks like vision, natural language processing, and recommendation engines. Unlike traditional accelerators that keep compute separate from memory, Untether AI’s architecture reduces data movement and increases throughput for inference workloads. The main difference from competitors is the hardware design that tightly integrates computation and memory to achieve very high ops-per-card while fitting standard bus interfaces, enabling businesses to run demanding AI tasks more cost-effectively. The goal is to help organizations optimize AI inference workloads by providing powerful, energy- and cost-efficient hardware that accelerates neural networks across various applications.

Significant Headcount Growth

About Untether AI

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

Industries

Data & Analytics

Hardware

AI & Machine Learning

Company Size

11-50

Company Stage

Series B

Total Funding

$148.7M

Headquarters

Toronto, Canada

Founded

2018

Simplify Jobs

Simplify's Take

What believers are saying

  • AMD acquired team in 2025 to integrate at-memory tech into AI inference products.
  • Arm collaboration optimizes ADAS and AV solutions with Automotive Enhanced tech.
  • Raised over $200M CAD from Intel Capital, GM Ventures, and CPPIB for expansion.

What critics are saying

  • AMD terminates Untether product support, ending tsunAImi updates immediately.
  • Nvidia Blackwell GPUs dominate inference with superior ecosystem in 6-12 months.
  • Talent exodus from AMD dilutes IP expertise within 6-12 months.

What makes Untether AI unique

  • At-memory architecture minimizes data movement for ultra-low power AI inference.
  • runAI200 devices and tsunAImi cards deliver over 2 PetaOps in PCI-Express form.
  • Supports vision, NLP, and recommendation neural networks scalably from edge to cloud.

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Funding

Total Funding

$148.7M

Above

Industry Average

Funded Over

4 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
$45M
Linktree
$65M
Substack
$100M
ClickUp
$125M
Untether AI

Benefits

Paid Vacation

Health Insurance

Unlimited Paid Time Off

Stock Options

Growth & Insights and Company News

Headcount

6 month growth

14%

1 year growth

9%

2 year growth

26%
BetaKit
Jun 30th, 2025
Nvidia acquires Canadian AI efficiency startup CentML

Untether had been developing AI inference chips that it marketed as faster and more energy-efficient than its rivals, claiming to offer "energy-centric AI inference acceleration from the edge to the cloud."

Fusacq
Jun 17th, 2025
AMD Acquires Canadian Startup Untether AI

AMD accelerates its AI strategy by acquiring Canadian startup Untether AI. The acquisition aims to enhance AMD's capabilities in high-performance computing, graphics, and AI innovation.

Tom's Hardware
Jun 6th, 2025
AMD scoops entire Untether AI chip team - Canada AI inference outfit will cease product support

AMD has announced that it has just acquired Toronto-based AI chip company Untether AI.

CRN
Jun 5th, 2025
AMD Acquires Untether AI Team

AMD has acquired the team behind AI chip startup Untether AI, known for developing AI inference chips that are faster and more energy-efficient than competitors for edge environments and data centers.

Business Wire
Apr 16th, 2024
Untether Ai Announces Collaboration With Arm To Deliver High Performance, Energy-Efficient Solutions

TORONTO--(BUSINESS WIRE)--Untether AI, the leader in energy-centric AI inference acceleration, today announced a collaboration with Arm to develop best-in-class solutions optimized for next-generation automotive applications. As part of this collaboration, Untether AI will enable its inference acceleration technology to be implemented alongside the latest-generation Automotive Enhanced (AE) technology from Arm, to create solutions that address performance, power, safety, and security requirements for advanced Driver Assistance Systems (ADAS) and autonomous vehicle (AV) applications. Compute workloads radically changed in the past several years with the deployment of AI and the increasing complexity of AI and conventional software algorithms has elevated the demand for heterogeneous computing platforms employing domain-specific architectures. This trend, which is especially true in the automotive sector, results in an ideal computing platform that combines a mix of CPUs, AI accelerators, memory, and networking technologies that have been optimized for neural network acceleration and software-defined vehicles (SDV). “The increase in advanced user experiences, ADAS, and AV applications means more heterogeneous compute is needed in the vehicle,” said Suraj Gajendra, vice president of products and solutions, Automotive Line of Business, Arm. “By collaborating with Untether AI to ensure our leading-edge AE technology can work well alongside Untether AI’s acceleration capability, we are enabling our partners to power cutting edge AI workloads across the vehicle.”

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