Close Menu
  • Home
  • AI Models
    • DeepSeek
    • xAI
    • OpenAI
    • Meta AI Llama
    • Google DeepMind
    • Amazon AWS AI
    • Microsoft AI
    • Anthropic (Claude)
    • NVIDIA AI
    • IBM WatsonX Granite 3.1
    • Adobe Sensi
    • Hugging Face
    • Alibaba Cloud (Qwen)
    • Baidu (ERNIE)
    • C3 AI
    • DataRobot
    • Mistral AI
    • Moonshot AI (Kimi)
    • Google Gemma
    • xAI
    • Stability AI
    • H20.ai
  • AI Research
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Microsoft Research
    • Meta AI Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding & Startups
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • Expert Insights & Videos
    • Google DeepMind
    • Lex Fridman
    • Matt Wolfe AI
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • Matt Wolfe AI
    • The TechLead
    • Andrew Ng
    • OpenAI
  • Expert Blogs
    • François Chollet
    • Gary Marcus
    • IBM
    • Jack Clark
    • Jeremy Howard
    • Melanie Mitchell
    • Andrew Ng
    • Andrej Karpathy
    • Sebastian Ruder
    • Rachel Thomas
    • IBM
  • AI Policy & Ethics
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
    • EFF AI
    • European Commission AI
    • Partnership on AI
    • Stanford HAI Policy
    • Mozilla Foundation AI
    • Future of Life Institute
    • Center for AI Safety
    • World Economic Forum AI
  • AI Tools & Product Releases
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
    • Image Generation
    • Video Generation
    • Writing Tools
    • AI for Recruitment
    • Voice/Audio Generation
  • Industry Applications
    • Finance AI
    • Healthcare AI
    • Legal AI
    • Manufacturing AI
    • Media & Entertainment
    • Transportation AI
    • Education AI
    • Retail AI
    • Agriculture AI
    • Energy AI
  • AI Art & Entertainment
    • AI Art News Blog
    • Artvy Blog » AI Art Blog
    • Weird Wonderful AI Art Blog
    • The Chainsaw » AI Art
    • Artvy Blog » AI Art Blog
What's Hot

A knockout blow for LLMs? – by Gary Marcus

EU Commission: “AI Gigafactories” to strengthen Europe as a business location

United States, China, and United Kingdom Lead the Global AI Ranking According to Stanford HAI’s Global AI Vibrancy Tool

Facebook X (Twitter) Instagram
Advanced AI News
  • Home
  • AI Models
    • Adobe Sensi
    • Aleph Alpha
    • Alibaba Cloud (Qwen)
    • Amazon AWS AI
    • Anthropic (Claude)
    • Apple Core ML
    • Baidu (ERNIE)
    • ByteDance Doubao
    • C3 AI
    • Cohere
    • DataRobot
    • DeepSeek
  • AI Research & Breakthroughs
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Meta AI Research
    • Microsoft Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding & Startups
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • Expert Insights & Videos
    • Google DeepMind
    • Lex Fridman
    • Meta AI Llama
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • Matt Wolfe AI
    • The TechLead
    • Andrew Ng
    • OpenAI
  • Expert Blogs
    • François Chollet
    • Gary Marcus
    • IBM
    • Jack Clark
    • Jeremy Howard
    • Melanie Mitchell
    • Andrew Ng
    • Andrej Karpathy
    • Sebastian Ruder
    • Rachel Thomas
    • IBM
  • AI Policy & Ethics
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
    • EFF AI
    • European Commission AI
    • Partnership on AI
    • Stanford HAI Policy
    • Mozilla Foundation AI
    • Future of Life Institute
    • Center for AI Safety
    • World Economic Forum AI
  • AI Tools & Product Releases
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
    • Image Generation
    • Video Generation
    • Writing Tools
    • AI for Recruitment
    • Voice/Audio Generation
  • Industry Applications
    • Education AI
    • Energy AI
    • Finance AI
    • Healthcare AI
    • Legal AI
    • Media & Entertainment
    • Transportation AI
    • Manufacturing AI
    • Retail AI
    • Agriculture AI
  • AI Art & Entertainment
    • AI Art News Blog
    • Artvy Blog » AI Art Blog
    • Weird Wonderful AI Art Blog
    • The Chainsaw » AI Art
    • Artvy Blog » AI Art Blog
Advanced AI News
Home » Atombeam raises $20M for its codeword-based data transmission technology
SiliconANGLE - Big Data

Atombeam raises $20M for its codeword-based data transmission technology

Advanced AI BotBy Advanced AI BotApril 2, 2025No Comments4 Mins Read
Share Facebook Twitter Pinterest Copy Link Telegram LinkedIn Tumblr Email
Share
Facebook Twitter LinkedIn Pinterest Email



Atombeam Inc., a startup developing a more efficient way of transmitting data, today announced that it has raised $20 million in funding.

The investment was structured as a so-called Reg A+ round. This is a type of funding round in which capital is provided by members of the public rather than institutional investors. Atombeam says that the investment included more than 6,500 participants. 

Moraga, California-based Atombeam develops a data transmission technology it dubs Data-as-Codewords. The software promises to reduce the storage footprint of files by up to 75% and thereby boost the speed at which they can be sent over the network. Moreover, Atombeam claims that its platform also improves the security of the data being transmitted.

Standard data compression tools reduce the storage footprint of files by scanning them for patterns that appear multiple times. Such patterns might include, for example, a string of letters and numbers that repeats itself several times in a document. Those duplicate copies of the string are replaced with a single copy that takes up less storage space. 

Atombeam’s Data-as-Codewords technology is based on the same basic concept, but takes it a step further. 

First, the software identifies patterns that appear multiple times in a file and consolidates the duplicate copies into a single copy. Then, it replaces those consolidated copies with placeholder data points dubbed codewords. If hackers were to compromise a file transmitted using Atombeam’s technology, they would only gain access to the codewords rather than the file’s contents. 

Codewords are assigned randomly rather than generated based on customers’ data. According to Atombeam, that means codewords can’t be reverse-engineered to obtain files they protect. The company says the technology is lossless, which means scrambling a file with Data-as-Codewords doesn’t delete any of its contents. 

Atombeam plans to commercialize the software with two products. 

The first offering, Neurpac, is a cloud service that can scramble files using Data-as-Codewords and unscramble them for users. It uses artificial intelligence to carry out the task. A gateway component allows devices to send data protected with Neurpac using various third-party network protocols.

The company sees customers applying the service to multiple use cases. Agricultural sensors integrated with Neurpac could send data to the cloud for analysis faster than would otherwise be possible, it says, and vehicles can use the service to send diagnostics information to a carmaker’s backend systems. 

Atombeam is developing its second product, Neurcom, in partnership with the U.S. Air Force Research Laboratory. The offering will initially focus on speeding up the transmission of radar images. Atombeam expects to release Neurcom in the second half of 2025.

“By reducing data size by 75% in a few millionths of a second, bandwidth can be expanded by 4x — which means companies can access more data, faster and less expensively,” said Chief Executive Officer Charles Yeomans. “By doing so, fewer energy and infrastructure resources are necessary, even while the amount of data being accessed, transmitted and used increases.”

Atombeam will use its new funding to accelerate product development and go-to-market initiatives. 

Image: Unsplash

Your vote of support is important to us and it helps us keep the content FREE.

One click below supports our mission to provide free, deep, and relevant content.  

Join our community on YouTube

Join the community that includes more than 15,000 #CubeAlumni experts, including Amazon.com CEO Andy Jassy, Dell Technologies founder and CEO Michael Dell, Intel CEO Pat Gelsinger, and many more luminaries and experts.

“TheCUBE is an important partner to the industry. You guys really are a part of our events and we really appreciate you coming and I know people appreciate the content you create as well” – Andy Jassy

THANK YOU



Source link

Follow on Google News Follow on Flipboard
Share. Facebook Twitter Pinterest LinkedIn Tumblr Email Copy Link
Previous ArticleEU Invests €1.3 Billion to Boost AI Adoption & Improve ‘Digital Competencies’
Next Article How Can AI Be Used Safely? Expert Researchers Weigh In
Advanced AI Bot
  • Website

Related Posts

Data management innovation: JP Morgan’s Fusion & Snowflake transform investing

June 7, 2025

Metadata standardization unlocks AI potential

June 7, 2025

MongoDB crushes expectations and its stock makes huge gains after-hours

June 7, 2025
Leave A Reply Cancel Reply

Latest Posts

Jiaxing Train Station By Architect Ma Yansong Is A Model Of People-Centric, Green Urban Design

Midwestern Grotto Tradition Celebrated In Sheboygan, WI

Hugh Jackman And Sonia Friedman Boldly Bid To Democratize Theater

Men’s Swimwear Gets Casual At Miami Swim Week 2025

Latest Posts

A knockout blow for LLMs? – by Gary Marcus

June 7, 2025

EU Commission: “AI Gigafactories” to strengthen Europe as a business location

June 7, 2025

United States, China, and United Kingdom Lead the Global AI Ranking According to Stanford HAI’s Global AI Vibrancy Tool

June 7, 2025

Subscribe to News

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

Welcome to Advanced AI News—your ultimate destination for the latest advancements, insights, and breakthroughs in artificial intelligence.

At Advanced AI News, we are passionate about keeping you informed on the cutting edge of AI technology, from groundbreaking research to emerging startups, expert insights, and real-world applications. Our mission is to deliver high-quality, up-to-date, and insightful content that empowers AI enthusiasts, professionals, and businesses to stay ahead in this fast-evolving field.

Subscribe to Updates

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

YouTube LinkedIn
  • Home
  • About Us
  • Advertise With Us
  • Contact Us
  • DMCA
  • Privacy Policy
  • Terms & Conditions
© 2025 advancedainews. Designed by advancedainews.

Type above and press Enter to search. Press Esc to cancel.