Flux.ai provides a platform for designing and building printed circuit boards (PCBs) within the electronic design automation (EDA) market. The platform features an AI-powered assistant named Copilot, which helps users streamline the PCB design process, making it more efficient. Users can sign up for free and access basic features, with the option to upgrade to premium subscription plans for additional services. This freemium model allows engineers, designers, and electronics enthusiasts to utilize the platform according to their needs. Flux.ai differentiates itself from competitors by integrating AI assistance into the design workflow, enhancing user experience and accessibility in PCB design.

Lenny Rachitsky

Adam Lisagor

Gusto

Alain Rossmann

Andy Szybalski

Tom Preston-Werner

Brian Norgard

Seth Bannon

Christopher Schaepe

Joanna Hoffman

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Drew Moxon

Philipp Berner

Outsiders Fund

Liquid 2 Ventures

Lucy Guo

Jonathan Ng

Bain Capital Ventures

Anne Raimondi

Andrew Berman

Hardware

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AI & Machine Learning

Flux

For months, Flux has been adding new features and functions to Copilot to help make it the most powerful AI for hardware design in the world.

Flux Copilot Can Now See

That's why Flux Enterprise is excited to announce Smart Vias in Flux!

High-Density PCBs just got easier with Smart Vias

My podcast guest this week is Mattias Wagner from Flux! Mattias and I investigate the role that AI plays in the Flux PCB design platform. We also delve into the details of the Flux Method, Flux Model and Flux Copilot, and discuss why working smarter not harder is cornerstone to the Flux mission. I also investigate why the discovery of phosphorus in the outer reaches of the galaxy could have major implications for the possibility of alien life. .   . Links for December 8, 2023

Ai Is My Copilot: How Flux Is Revolutionizing Pcb Design

Today, Flux is launching Flux for Organizations: a new way for hardware teams to collaborate.

Introducing Flux for Organizations: A New Way to Collaborate in Hardware

FLUX Inc., Japan's leading AI platform developer, announced 4.4 billion JPY (approximately US$32 million ) in Series B funding led by DNX Ventures, and including existing investor Archetype Ventures and new investors Japan Co-Investment, Aozora Corporate Investments, Salesforce Ventures, Sony Innovation Fund, SMBC Nikko Securities, and NTT Docomo Ventures.

Japanese Startup FLUX Raises $32M Series B for No-code AI Platform

by Max MaxfieldI have seen the future of electronic design. It is both awesome and scary. I’m too young for all this excitement. I have much to impart. Before we proceed further, however, let’s first remind ourselves as to the way things were in ye olden days, by which—as terrifying as it seems—I mean prior to 2023.When I was a young sprout deep in the mists of time that we used to call the early 1970s, I created all my designs using discrete components soldered onto Veroboard (a.k.a. stripboard)

May The Flux (Copilot) Be With You!

by Max MaxfieldOver the past few months, I’ve waffled on (as is my wont) about various flavors (ooh, tasty) of generative artificial intelligence (GenAI). On the menu were items like GitHub Copilot, which generates code (throwing in errors and security vulnerabilities for free), and Metabob from Metabob (can you spell “Zen”), which looks at the code generated by GitHub Copilot and takes the bugs and security vulnerabilities out again (to understand recursion, you must first understand recursion).We’ve also discussed other GenAI-based Copilots, like SnapMagic, which can help design engineers pick parts, and Flux.ai, which can help them to design and layout their circuits.Another form of GenAI comes in the form of text-to-image models, such as Stable Diffusion, which can be used to generate detailed images conditioned on text descriptions. It can also be used for related tasks, such as inpainting (where damaged, deteriorated, or missing parts of an artwork are filled in to present a complete image), outpainting (extending an existing image beyond its original canvass), and image-to-image translations.The thing is, until now, we all pretty much took it for granted that GenAI models of this class, capacity, and caliber were destined to be run in the cloud. Can you imagine what it would be like to be able to run something like Stable Diffusion on a USB Drive that plugs into your notepad or laptop computer? I can. Actually, I don’t have to imagine this because I’ve seen it in action (I’ll show you a video later in this column).To be honest, I have a personal interest in being able to generate images from text descriptions. I’m currently writing a small book called The Life (of a Boy Called) Clive (It Rhymes with Five)

Generative Ai Is Coming To The Edge!

by Max MaxfieldI still find it hard to believe that the first time generative artificial intelligence (GenAI) in the form of ChatGPT by OpenAI impinged itself on the public consciousness—including what I laughingly think of as my own consciousness (but only when I consciously think about it)—was only a year ago (give or take a few days) as I pen these words.Wow! What a year it’s been! Now GenAI is manifesting itself everywhere, with ChatGPT-based apps sprouting like metaphorical mushrooms (which are my second favorite type). I’m not sure of the exact order of arrival, but the first ChatGPT-based app (excluding ChatGPT itself) of which I became aware was GitHub Copilot, which currently claims to be “The world’s most widely adopted AI developer tool.”GitHub Copilot provides suggestions for numerous languages and a wide variety of frameworks, but it works especially well for Python, JavaScript, TypeScript, Ruby, Go, C#, and C++. I also know several FPGA and SoC hardware design engineers who are using it with Verilog and VHDL.My understanding is that software developers spend about 20% of their time thinking about the code they are going to write, 30% of their time writing the code they’ve just been thinking about, and the remaining 50% of their time debugging the code they’ve just written. I also understand that GitHub Copilot is behind 60% of newly developed embedded code, and that developers using Copilot are spending 55% less time writing new code.One of the downsides of GitHub Copilot is that a lot of its training was performed using open-source software, much of which contains bugs and security vulnerabilities. As a result, it’s said that 40% of the code generated by Copilot contains the aforementioned gotchas. This means the same developers that are spending less time capturing new code are spending more time debugging the code they took less time to capture

Goodbye Snapeda (Sad Face) | Hello Snapmagic (Happy Face)

San Francisco, CA – August 24th, 2023—Flux, a pioneer in hardware design tools, today announced new upgrades to Flux Copilot, the industry’s first AI-powered hardware design assistant. With this newest upgrade, Flux Copilot gains the ability to understand the user’s specific constraints and preferences. With a mission to simplify and democratize the hardware design process, this update allows Flux Copilot to transform the way engineers and hobbyists approach their projects.A Personalized AI Assistant for Every ApplicationThe newest update to Copilot introduces an innovative way to define and manage project requirements, such as operating voltage, power requirements, operating temperature, and compliance standards. Now with the ability to communicate project requirements directly to Copilot, users can receive contextually relevant recommendations and support.For example, if you’re designing an audio amplifier, tell Copilot your desired specifications including what type of amplifier, input source, output power, frequency response, etc. By keeping these requirements front of mind, Copilot acts as a virtual teammate, incorporating them into its responses and freeing up mental overhead for more creative pursuits.To make setting project requirements easier, users can start with pre-configured templates created by the community. By simply importing these templates, Copilot can implement requirements for application spaces such as automotive, industrial, and medical.Copilot Sweats the Details So You Don’t Have ToCopilot’s upgrade now ensures that every question you ask is answered within the context of your project requirements

Flux’S Ai Hardware Assistant Now Adapts To Your Design Requirements

Last month Flux launched Flux Copilot, the industry’s first AI-powered hardware design assistant integrated into a PCB design tool.

Flux

AI-powered platform for PCB design

Flux

AI-powered platform for PCB design

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