We have 240k users on the platform…hobbyists, students, small/mid sized teams to Fortune50 companies. We host millions of projects!
It’s a huge ecosystem not just of users but also semiconductor manufacturers, fab houses, etc.
Think GitHub on steroids!
And it’s the only AI first end-to-end design tool in the market…you can go from idea to research to architecture to BOM to schematic to PCB layout and then to manufacturing. Workflows that usually take months in other tools can be done in a few hours to minutes in flux.
It’s still early days though but we are moving insanely fast! So if we don’t met your teams bar today I suggest checking back in next month.
I think it’s good for more players to enter the market…EDA tooling is stuck somewhere in the 80s and we need to fix that.
It’s too expensive and risky to make hardware…and we deserve better!
Silicon is the most important resource in the world, as evidenced by FAANG
FAANG’s ability to scale up compute is limited by their ability to design, test, and manufacture silicon. Every competitive AI company is working to build it’s own
Everyone is focused on making software layer more efficient, we are seeing 3-5x productivity gains
I am the founder of https://flux.ai and we are the only ones making the hardware layer more efficient, 6-15x productivity gains!
As you saw with NVIDIA’s growth, the hardware side of this is as valuable as the software side
Flux.ai is a AI first hardware design platform build for the modern age. Our mission is to take the “hard” out of hardware
The really cool thing that I forgot to mention here is that it makes the model composable
As you provide requirements and specs via properties to your project OR by adding components (which have their own properties) you are implicitly optimizing the model towards your use case (eg Analog Audio Aerospace applications)
These requirements/specs are all in human language…so an added benefit is that you provide more documentation for your human peers too!
But in short: yes, thats how it works as of today! Our docs go into a bit more detail here.
But this space has been moving so fast that usually how it worked last week issn’t how it works this week.
You could easily imagine us leveraging fine tuned world models models on top of prompting in the near future.
Another thing to add is that we use a bunch of different models for our Copilot implementation…some popular off the shelf ones as well as some that we trained ourselves.
A lot of you have been asking us how we ensure correctness of Copilots responses
Well here it is…citations!
Additionally you can provide your own custom data sources…so it’s not limited to datasheets but also works with application notes and anything else you might wanna provide
The list includes a bunch of hardware companies and teams that most/all would agree are the most sophisticated in the world
Hardware engineers get a bad rep for being stubborn when what they actual want is just good tools…and we believe they deserve them and so we are building them!
We are planning to directly integrate with fabs to place order/get quotes in the near future though