Founded Year

2024

Stage

Seed | Alive

Total Raised

$1.1M

Valuation

$0000 

Last Raised

$1.1M | 1 yr ago

Mosaic Score
The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.

-46 points in the past 30 days

About RaiderChip

RaiderChip is a hardware design company whose products focus on optimizing memory bandwidth to enhance the performance of AI applications across various platforms. Its technology enables advanced AI model deployment on both devices. It was founded in 2024 and is based in Cantabria, Spain.

Headquarters Location

Calvo Sotelo 4b - 2ºB.

Cantabria, 39710,

Spain

Loading...

RaiderChip's Products & Differentiators

    Generative AI accelerator Hardware IP core

    Accelerating Generative AI means massive Floating-Point Ops, but even more massive Memory Bandwidth. Algorithms are hugely memory bound. The best accelerator is the one that uses the same memory bandwidth/tech with the highest efficiency.

Loading...

Expert Collections containing RaiderChip

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

RaiderChip is included in 1 Expert Collection, including Artificial Intelligence.

A

Artificial Intelligence

12,627 items

Companies developing artificial intelligence solutions, including cross-industry applications, industry-specific products, and AI infrastructure solutions.

Latest RaiderChip News

RaiderChip Raises €1M in Seed Funding

May 22, 2024

Backers were not disclosed. The company intends to use the funds to continue to expand operations and to market its AI acceleration engine. Founded as a spin-off from VISENGI and led by Victor Lopez, RaiderChip is developing IP core hardware solutions aimed at accelerating Artificial Intelligence on FPGA platforms. Its efficiency allows it to offer acceleration entirely locally, without subscriptions, and on low-cost devices. Designed to operate both fully autonomously and embedded, the GenAI v1 supports various language models: from the Microsoft Phi-2 Small Language Model, for solutions, to the Meta Llama-2 and Llama-3 Large Language Models for broader and more complex applications. FinSMEs

RaiderChip Frequently Asked Questions (FAQ)

  • When was RaiderChip founded?

    RaiderChip was founded in 2024.

  • Where is RaiderChip's headquarters?

    RaiderChip's headquarters is located at Calvo Sotelo 4b - 2ºB., Cantabria.

  • What is RaiderChip's latest funding round?

    RaiderChip's latest funding round is Seed.

  • How much did RaiderChip raise?

    RaiderChip raised a total of $1.1M.

  • Who are the investors of RaiderChip?

    Investors of RaiderChip include Visengi.

  • Who are RaiderChip's competitors?

    Competitors of RaiderChip include Latent AI, EmbeDL, Edge Impulse, Neural Magic, Deci and 7 more.

  • What products does RaiderChip offer?

    RaiderChip's products include Generative AI accelerator Hardware IP core.

Loading...

Compare RaiderChip to Competitors

Nota AI Logo
Nota AI

Nota AI specializes in artificial intelligence model optimization and software solutions within the technology sector. The company offers a proprietary platform, NetsPresso, which automates the development of lightweight AI models and optimizes them for specific hardware, aiming to enhance performance on edge devices. Its technology is applied in various sectors, including intelligent transportation, security, and healthcare, providing solutions such as driver monitoring systems and smart access control. The company was founded in 2015 and is based in Daejeon, South Korea.

Latent AI Logo
Latent AI

Latent AI focuses on enterprise AI platforms for edge devices across various sectors. The company provides a developer platform for deploying AI on edge devices such as drones, cameras, and robots, which may assist in the market readiness for AI projects. Latent AI serves government and commercial organizations that seek to integrate AI into their operations. It was founded in 2018 and is based in Princeton, New Jersey..

DeGirum Logo
DeGirum

DeGirum is an AI solutions company focused on accelerating the adoption of AI at the edge within the technology sector. The company offers a cloud platform that simplifies the development and deployment of edge AI applications, as well as hardware accelerators and model integration services. DeGirum's products cater to hardware, model, and application developers in the edge AI space. It was founded in 2017 and is based in Santa Clara, California.

T
Terasic

Terasic specializes in FPGA/ASIC design and is a leading vendor in the technology sector. The company offers development kits, accelerator cards, and daughter cards for high performance computing and edge AI applications. Terasic primarily serves the education sector and various industries requiring advanced computing solutions. It was founded in 2003 and is based in Hsinchu City, Taiwan.

Mythic Logo
Mythic

Mythic is an analog computing company that specializes in artificial intelligence (AI) acceleration technology. Its products include the M1076 Analog Matrix Processor and M.2 key cards, which provide power-efficient AI inference for edge devices and servers. Mythic primarily serves sectors that require real-time analytics and data throughput, such as smarter cities and spaces, drones and aerospace, and augmented reality (AR) or virtual reality (VR) applications. Mythic was formerly known as Isocline Engineering. It was founded in 2012 and is based in Austin, Texas.

Kneron Logo
Kneron

Kneron is a company that operates within the technology sector and develops integrated software and hardware edge AI solutions for home appliances, surveillance systems, and smartphones. It was founded in 2015 and is based in San Diego, California.

Loading...

CBI websites generally use certain cookies to enable better interactions with our sites and services. Use of these cookies, which may be stored on your device, permits us to improve and customize your experience. You can read more about your cookie choices at our privacy policy here. By continuing to use this site you are consenting to these choices.