Dream

Introducing built world models: AI that automates the design and engineering of the physical world

[Dream @dreamhq]

Built world models: AI that automates design and engineering for the physical world. @TechCrunch covers our launch and $17M seed round from @a16z, @svangel, @xyz_vc, and @ziggcap

[TechCrunch @TechCrunch]

Dream is grounded in real physics and construction standards. Just as LLMs learn from text, Dream's world model is trained on more than 100 million square feet of building data gathered from permit archives across the United States. https://t.co/VY7uqyhRfP

[Dream @dreamhq]

Thanks for covering the launch, @TFDeskHQ. Follow along to see how built world models take on commercial design and engineering, from storefronts and offices to warehouses and data centers.

[The Financial Desk @TFDeskHQ]

AI can draw a building. Dream wants one a contractor can actually build.

Dream came out of stealth with a $17M seed led by Andreessen Horowitz, with SV Angel, XYZ and Zigg Capital in. Its models are trained on more than 100 million square feet of permitted U.S. buildings.

It is already the architect of record on 10 projects.

[SV Angel @svangel]

We're excited to partner with @dreamhq as they build AI that actually understands how the physical world is designed and constructed. Incredible to see the impact already on live projects across the country.

[Dream @dreamhq]

@Scobleizer Things are shipping fast, and buildings are about to be part of it. If you want to keep up with built world models, follow along here.

[Kimberly Tan @kimberlywtan]

We @a16z are thrilled to be working with @dreamhq! For all the progress in AI, there's been minimal innovation in the built world in architecture and construction. Dream is developing a new class of models trained to reason about physical space: its geometry, its constraints, and the relationships between objects and the spaces that contain them. Dream is already being used on real projects, and we believe they will change how the physical world is designed and built. Congrats to the team!

[Dave Eisenberg @Eisenberg]

I'm approaching the 10 yr anniversary of selling Floored to CBRE. In that time I've seen countless startups doing cool things with 3D built world data. Yet, until recently, we hadn't made an investment in a startup that felt like Floored, but w frontier AI. That startup is Dream.

[Traded: Venture Capital @TradedVC]

JUST IN: @dreamhq raised a $17M seed led by @a16z

Its AI designs buildings a contractor can actually build.

It's already the architect of record on 10 projects.

Founders @AndyElder11 and @arjunmathur_ spent a decade at Palantir.

[Dream @dreamhq]

Imagine something as easy to use as the Sims, but for real buildings. Introducing Dream's built world models, automating the design and engineering of the physical world.

[MTS @MTSlive]

Dream co-founder @AndyElder11 explains how AI is making designing real houses as easy as playing The Sims:

"We've built in 73 unique types of architectural and interior design styles."

"You can upload something from Instagram that you liked, and we'll find real products, real materials, the backsplash, the flooring, the light fixtures, even the furniture, and design a full concept that’s regulatorily sound and structurally sound."

"I grew up playing the Sims. We all had this feeling of, wait, why is there not something just as easy for the real world? As easily as you drew walls in the Sims, you can now do that, except there’s a layer of intelligence behind it."
@dreamhq

[Dream @dreamhq]

AI has completely transformed so many industries, but the $13 trillion architecture, engineering, and construction industry. Built world models are closing that gap.

[MTS @MTSlive]

Dream co-founder @AndyElder11 reveals how his startup is bringing AI to a $13 trillion industry still relying on software from the 1990s:

"We are creating built world models. These are models that actually design the physical world around us."

"The $13 trillion architecture, engineering, and construction industry has really been left behind."

"The building that you're recording this podcast from was likely designed using software from the late ’90s, and it probably took 12 to 18 months to design. The models we're developing can do that in a fraction of the time and a fraction of the cost."
@dreamhq

[Dream @dreamhq]

Curious about built world models? Hear one of our co-founders @andyelder11 talk about what they are, how they're trained, and their real world impact on @MTSLive at 1pm PT. Watch at the livestream here

[MTS @MTSlive]

ASTRA GETS DISTILLED | ECONOMICS OF INTELLIGENCE | MISTRAL LARGE 4 https://t.co/z6qMOargFV

[Andy Elder @AndyElder11]

Today @arjunmathur_ and I are introducing Dream.

We’re announcing $17M in seed funding from @a16z , @svangel , @xyz_vc , and @ziggcap.

@dreamhq is developing a new class of models trained to reason about physical space: its geometry, its constraints, and the relationships between objects and the spaces that contain them. With these models, AI can make a real impact in the $13 trillion architecture, engineering, and construction (AEC) industry for the first time.