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itstransfigure

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AI CAD vs. AI CAD battle: Transfigure vs. Google Gemini Pro

instagram.com
3 ポイント·投稿者 itstransfigure·24 日前·0 コメント

Transfigure αLPHA is live – Yes, moar AI CAD

xfgr.ai
1 ポイント·投稿者 itstransfigure·25 日前·1 コメント

Transfigure – AI That Makes Physical Stuff – Image to Step or Nothing at All

xfgr.ai
3 ポイント·投稿者 itstransfigure·2 か月前·2 コメント

HoLa B-Rep a.k.a. AI CAD shenanigans?

2 ポイント·投稿者 itstransfigure·8 か月前·1 コメント

コメント

itstransfigure
·25 日前·議論
Give it a shot at xfgr.ai, and make some weird stuff. In particular try making some chainzz https://xfgr.ai/chainzz.png

Water / laser, simple single or double bend sheet metal brackets are do-able, technically 3-4 flange brackets are also do-able but we're working on the quality pipeline to understand what blocks these from completing (some don't, if that happens try again). Will add CNC and 3D print type shapes soon.

First person to sign up for the $200 refill and the 20th person to sign up for $10 refill gets αLPHA reloads for life*

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There is no LLM here, no groveling or complaining to the chatbot, no dependence on claude/chatgpt/gemini to write your openscad or cadquery code, none of that.

We're took the hard path to get AI to write 3D STEP directly because that is where things need to go if we want AI CAD to be efficient, and stop cocooning amateur hour free python CAD kernels or $30,000 CAD licenses with LLMs.

I just closed our pre-seed in May, and will be raising the Seed in July, to recruit and hire the team that will architect the first useful foundation model that writes engineer and DFM approved STEP graphs from images. We will train this foundation model with a bonkers Series A in 2027.

*terms subject to change
itstransfigure
·2 か月前·議論
Also our pre-seed closes this month, if you're a pre-seed VC we've love to talk to you. We're over half way with angels, and wouldn't mind giving pro-rata to the right investor. But time is running out!
itstransfigure
·2 か月前·議論
What's up everyone, I'm getting ready to launch the Public Alpha of Transfigure next week. It's our AI that makes Physical Stuff. https://www.instagram.com/p/DX-P47BB9zv/

Image to STEP is the pipeline that makes things actually easy for anyone to make parts. Everyone can draw. So anyone should be able to get a part in hand just as easily.

Anthropic - Autodesk is interesting but damn that's a lot of tokens and a lot of typing. The only winners there are the power company and hyperscalers (in 30 years)

At Transfigure we're just in early stages with an Alpha (simple sheet metal inference for now) but our pipeline will grow to handle CNC, turned, laser, injection molding, casting, stamping, you name it. Even Revit BIMs someday. Because if you can draw it, Transfigure wants to help you physically make it!

3 Years to AI that designs itself. Skynet, but in a good way.
itstransfigure
·10 か月前·議論
not a great answer but the true answer would be only God knows. Personally my goal is 1 month.

posting random "artistic" snapshots of various aspects of Transfigure (instagram: itstransfigure) if you care to follow.

without saying too much, the competitive advantage is in training data and I think that will be the deciding factor as to whether or not a company is successful in (Transfiguring? rezzing? summoning?) a real part from a sketch, that can be made into physical stuff, without looking like shapenet cartoons.
itstransfigure
·10 か月前·議論
as a founder working on a direct competitor to this product, I am happy to see there's so many opinions and interest. this means we are on to something. I am totally behind the idea, so I am super excited for Pranav to get this in the wild.

however, the output of the current SGS-1 model leaves a lot to be desired in terms of usability and manufacturability.

as sir liam powell so explained, the STEP generated is indeed a STEP file in the fact that it will load on your CAD of choice (CATIA, NX) but it's not even close to being useful for the designer/engineer/fabricator much less a factory or even a 3d printer.

Most importantly: -Surfaces are not G1, G2, or even G0 (un-CAE-able and un-manufacturable) -simple shapes are hyper overcomplicated (a fillet turns into 10++ surfaces mashed together) -and most unfortunately in one part I generated, the output was a collection of separate STEP child parts (meaning, when importing, your single "part" is actually a product containing 10000+ child parts)

looking forward to V2, keep it coming

shameless plug: my entire career has been in CAD and that is why I started Transfigure. to eliminate my own job as a CAD monkey: and get on with the engineering. already having anticipated the limitations which SGS-1 is dealing with, Transfigure's AI architecture is approaching the problem from the perspective of a mechanical engineer whose customers rely on clean data, ready for simulation and manufacturing. because if I submitted data generated by SGS-1 to our fab shop... I would be fired.

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