What makes our world model, SKY-001, a better choice for engineering design when it comes to visual constraints, compared to large language models?
Hear directly from one of our MTS.
📌 full technical details in blog below
Training SKY-001 required overcoming core data scaling bottlenecks to satisfy rigorous industry standards across four technical fronts:
- source of data
- quality filtering
- auditing
- automation
Hear directly from the research team on how they navigated these challenges.
Meet the world-class research team behind SKY-001, the first Engineering World Model.
Solving complex design and engineering problems in the physical world is orders of magnitudes more difficult than LLM agents using next token prediction. Our team at @skyfallai decided to take
Meet the world-class research team behind SKY-001, the first Engineering World Model.
Solving complex design and engineering problems in the physical world is orders of magnitudes more difficult than LLM agents using next token prediction. Our team at @skyfallai decided to take a different path than everyone else out there in order to achieve the research breakthrough.
Last week, we shared how SKY-001 stacks up against frontier LLMs, showing the clear advantage World Models have on complex real-world tasks like engineering design.
Here is a sneak peek video where you can learn directly from the researchers about what makes our approach unique, what training and data collection paradigms were used, and why we believe World Models are the next frontier in AI.
I’m incredibly proud to work alongside this team.
Meet the world-class research team behind SKY-001, the first Engineering World Model.
Solving complex design and engineering problems in the physical world is orders of magnitudes more difficult than LLM agents using next token prediction. Our team at @skyfallai decided to take
World models are moving out of robotics and video and into engineering software.
SKY-001 from @skyfallai turns a text prompt or a 2D sketch into a full CAD build sequence that opens directly in Autodesk Fusion.
hear directly from the research team behind SKY-001"
Speed separates them, with each case taking 3.9 seconds versus 199 seconds for GPT-6 Astra.
SKY-001 gets there by planning visually instead of through repeated LLM calls, first splitting an object into sub-assemblies and individual parts.
A construction world model then predicts the ordered sketches and 3D solid states that build each part, which LLM-made shapes usually lack.
Meet the world-class research team behind SKY-001, the first Engineering World Model.
Solving complex design and engineering problems in the physical world is orders of magnitudes more difficult than LLM agents using next token prediction. Our team at @skyfallai decided to take
Our vision at @skyfallai is to make intelligence as affordable and ubiquitous as electricity.
With SKY-001, we're one step closer to that mission. Here's a side-by-side comparison of how fast our World Models are compared to frontier LLMs in CAD. LLMs are too slow so we had to
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