An AI lab advancing intelligence through world models
San Francisco
Joined November 2024
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A few months ago, we announced we were going to acquire businesses to automate them.
The time has finally arrived.
Meet Steve, the World’s First AI CEO running businesses fully autonomously.
- Uses Recursive-Self Improvement to continuously evolve as a CEO and learn from mistakes
- Based on World Models, it keeps an executable model of your business, written in code. It then simulates different scenarios and picks the best decision.
Steve is already running the 3 businesses we acquired over the last 4 months and results are even better than before automation.
We’re now opening a round 2 of acquisition and investing up to $2M to acquire 5 more businesses.
Join the waitlist now to watch history happen from the front row: skyfall.ai/steve
Apply for the Steve Startups Program here: skyfall.ai/steve-startups/ap…
Introducing Steve: the World’s first AI CEO for fully Autonomous companies.
Powered by World Models, Recursive Self Learning, a Policy Engine and a team of specialist AI agents, it runs your business end-to-end 🔥.
Proof? Steve currently runs 3 businesses we acquired and they are all crushing it (numbers in thread 🧵)
We’re now launching the Steve Startups Program of $2M to acquire 5 additional startups for Steve to automate.
Join us in the Autonomous Enterprise revolution 🚀.
Calling all founders: join the waitlist for Steve and the Startups Program by Steve
👉 skyfall.ai/steve
👉 skyfall.ai/steve-startups/ap…
Join the Steve revolution now 🚀
Amazing job by the team to get us here. Everyone has worked so hard and I am so grateful to be a part of such an ambitious project.
World models have been mostly theoretical and we are trying to bring it to the real world with SKY-001 last week and now Steve.
We are currently running 3 businesses on Steve and have plans to scale it 10x over the 12 months. If you want to automate your business with Steve please apply to the Startups Program.
A must-listen for founders who are fundraising and building in AI. 🎧
Learn what it really takes to get your company acquired and what the next frontier in AI actually requires directly from our Co-Founder and CEO @spisallyouneed.
Sam shares how he sold his previous business Maluuba and what it took to build in AI long before the hype.
Check out the full episode on YouTube.
youtube.com/watch?v=nQ-RxlUk…
In 2015 Yahoo signed a term sheet to buy Maluuba, the AI company @spisallyouneed co-founded. His team was ready to move to California.
Three weeks before the press release, Yahoo walked.
Hear from our Co-Founder and Chief AI Officer, Kaheer Suleman, on the data challenges behind building SKY-001.
Full technical breakdown in our blog: skyfall.ai/blog/introducing-…
Join the waitlist here: skyfall.ai/sky-001
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Our Co-Founder and Chief AI Officer, Kaheer Suleman, breaks down why Compositionality is essential for long-term planning.
More details about the hierarchical composer in our blog: skyfall.ai/blog/introducing-…
Sign up for early access to SKY-001 now: skyfall.ai/sky-001
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The Construction World Model works out how each leaf component is built, one step at a time.
Read more here: skyfall.ai/blog/introducing-…
A promising path for Autonomous Manufacturing is through World Models.
SKY-001 offers a first glimpse of the efficiency gains, speed, and higher-quality complex designs this approach can deliver compared to Large Language Models.
Read our blog for the full technical breakdown, and let us know which domain you want us to test SKY-001 on next. 💙
🔗 skyfall.ai/blog/introducing-…
Very proud to showcase our latest demo of how our Engineering World Model SKY-001 can design a complex Jaguar car with 1000s of complex parts.
In order to get us to Autonomous Manufacturing, we need to design systems that can think like a ‘AI General Engineer’: planning complex physical structures, long term sequences, and feasibility directly in the physical domain rather than approximating it through next-token prediction.
Engineering design operates in the spatial reasoning domain through hierarchical decomposition, constraint satisfaction, and the sequential construction of complex physical objects.
World models are going to be the next frontier in AI after LLMs and SKY-001 is just the beginning.
Read our blog to see how SKY-001 meets this challenge with world modeling: skyfall.ai/blog/introducing-…
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Join us at the frontier.
skyfall.ai/sky-001
We are living through a moment of extraordinary ambition right now where flying cars are no longer science fiction demos. Humanoid Robot adoption is accelerating and AI Powered Energy Systems as well as Space Infrastructure are all being pursued in parallel.
Yet, almost all of these goals share the same constraint: the speed and cost (while maintaining quality) at which we can design and construct the physical systems still lags behind the speed of our ideas.
My core belief is if these technologies are going to move from prototypes to staples of everyday life like electricity, we need a new form of Autonomous Intelligence:
1) That can understand complex physical structures with high precision and granularity
2) Plan millions of steps ahead across long horizons
The same model that designs a robot joint should help design a drone, a PCB, a molecular structure and many more.
That is the direction we are pursuing at @skyfallai. We’re building World Models that enable this kind of cross-domain intelligence, and we are turbocharging the effort with SKY-001, the first Engineering World Model.
Let's revolutionize the Physical Universe 🚀
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Sign up for early access to SKY-001: skyfall.ai/sky-001
Check our blog for more technical info: skyfall.ai/blog/introducing-…
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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.
blog: skyfall.ai/blog/introducing-…
join the waitlist: skyfall.ai/sky-001
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blog: skyfall.ai/blog/introducing-…
join the waitlist: skyfall.ai/sky-001
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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
blog: skyfall.ai/blog/introducing-…
join the waitlist: skyfall.ai/sky-001
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Meet the Research Team behind SKY-001 💙
Sign up for the waitlist if you haven't yet: skyfall.ai/sky-001
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.
Full technical breakdown in our blog: skyfall.ai/blog
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Here's a side-by-side comparison for BIM 👇
Which domain should we take it to next?
Get early access: skyfall.ai/sky-001
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 10x the video speed gosh 😂.
Electricity became ubiquitous because it was both cheap and fast enough to be woven into every tool and process without a second thought. When engineering design generation becomes 1000x faster, it transforms into a real-time utility for the entire human race.
Full technical breakdown in our blog: skyfall.ai/blog
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We launched the first Engineering World Model, SKY-001, this week and it already outperforms all the frontier LLMs in CAD and BIM in speed, cost and precision.
Here’s an example of how our model compares to OpenAI’s Astra, Anthropic’s Fable 5.1 and Google’s Gemini 4.
These results did not happen by accident. Read our technical blog to find out how we built SKY-001 (🔗 below).
Sign up for early access: skyfall.ai/sky-001
Blog: skyfall.ai/blog/introducing-…