Launching today

Autonomyware

Launching today

Idea to physical product, engineer anything you can imagine

181 followers

Idea to physical product, engineer anything you can imagine

181 followers

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3D & Animation

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AI Workflow Automation

Autonomyware turns your idea into an engineered physical product. Start with your vision and let autonomous AI handle the engineering process end to end. Describe what you want to create, then move from product definition through architecture, risk, CAD, BOMs, code, verification, and manufacturing preparation. One AI-native workspace keeps every decision and engineering artifact connected from idea to implementation.

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Launch tags:Hardware•Artificial Intelligence•3D Modeling

Launch Team / Built With

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AUTA-001

Transform any object into a buildable LEGO model

AUTA-001In progress

In progress

I have been manually managing hardware risk logs and BOMs across separate spreadsheets so having an integrated workspace for every step saves so much time.

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2h ago

Autonomyware

Maker

@jack_hayes83 - absolutely! Not to mention the risk of rework and reengineering that comes from gaps in traceability coverage or not being able to understand how a part change impacts the risk analysis. Every engineered prototype product run in Autonomyware is connected end-to-end in traceability - from assumptions, to specs, operating contexts, design, BOM and verification.

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1h ago

I like the idea of not needing to learn CAD first just to see if an idea is worth making.

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3h ago

Autonomyware

Maker

@kyle_bennett6 - thank you! Exactly, from natural language to fast prototyped design regardless of technical knowledge. Like vibe-coding, but for physical products.

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2h ago

Can it work with different manufacturing methods such as CNC machining injection molding and 3D printing?

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22m ago

Bababot

I have been pretty hesitant about letting AI handle hardware architecture but seeing full verification logs attached makes this really worth trying.

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11m ago

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Forum Threads

p/autonomyware

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17h ago

Vibe coding for physical products?

Vibe coding got people who'd never written code to try building apps. I keep wondering what those same people would make if getting started with a physical product felt more approachable.
Lately, my feed has been full of Astra and Opus 3D demos lately. I've spent eight years working in 3D, so seeing people describe something and start experimenting with a model is pretty exciting. Now I want to see what they'll create and how far their imagination stretches.
That's what we're working on at Autonomyware: you describe what you want to make and AI works through the design and engineering towards something buildable. Getting more people to try making their first physical product is a big part of why I'm involved.
So I'd love to hear from the people here building apps, websites, whatever else: have you ever wanted to make something physical and just had no idea where to start?
Tell me, what would you like to create?

p/autonomyware

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1d ago

From four words to a whole product

I joined this team a few months ago, and honestly it's been one of the craziest stretches of my career.

Rewind three or four years before this AI era really hit, writing code was the hard part. Slow, painful, every feature a grind. You measured progress in weeks.

Now I watch how in Autonomyware three/four words and it comes back with the entire product: the requirements, the 3D model, the risk analysis, the whole chain. The first time I saw it run end to end, I just kind of sat there. The speed still doesn't feel real, even building it from the inside.

p/autonomyware

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4d ago

AI in engineering. Is the product right if it looks right?

During the development of our Engineering AI, I realized that today's AI models are mostly incredible librarians.
They've read almost everything, and they're brilliant at retrieving and remixing it. Ask for a picture of a chair and you get a convincing chair. But a picture of a chair and a chair you can actually build are very different things. One just has to look right. The other has to hold weight, fit together, and survive contact with the real world.
That gap is where the next phase of AI gets interesting. Not models that know what things look like, but models that understand how things work. Cause and effect. Physics. Whether two parts actually fit, not just whether they look like they do.
We realized that this is the hardest part when using AI in engineering: real, manufacturable products. It's unforgiving but in a useful way. If a language model is slightly wrong, the answer might sound a little off. In an engineering context, if a system is slightly wrong, a part gets driven straight through another one, and the assembly fails. You can't fake your way past reality.
We think that's actually the most honest benchmark for this whole shift. "Looks plausible" is where AI is today. "Works when you build it" is where we are going.
Curious what others working in AI think: where do you see the line between models that describe the world and models that actually understand it? And what's the domain that finally forces the difference?

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Forum Threads

p/autonomyware

•

17h ago

Vibe coding for physical products?

p/autonomyware

•

1d ago

From four words to a whole product

I joined this team a few months ago, and honestly it's been one of the craziest stretches of my career.

Rewind three or four years before this AI era really hit, writing code was the hard part. Slow, painful, every feature a grind. You measured progress in weeks.

p/autonomyware

•

4d ago

AI in engineering. Is the product right if it looks right?

View all