Research depth in service of practice
At Cocoon Lab, we believe AI should strengthen architectural judgment, not replace it. That conviction is one reason our partnership with Mila matters to us.
Mila brings research depth, rigor, and a serious culture of responsible AI. For Cocoon Lab, that partnership creates a strong context for building product systems that remain useful to architects, developers, and design teams at the earliest stages of a project.
Our work on Cocoon focuses on site intelligence, cost visibility, carbon awareness, code and planning review, and clearer early-stage decisions. The partnership with Mila supports that direction by keeping us close to advanced thinking in machine learning while staying disciplined about real-world application.
What stays central
We are interested in AI that helps teams see more clearly: understand context, test constraints, and make better decisions before design is fixed. That means tools that are legible, grounded, and accountable to the realities of architecture and development practice.
As Cocoon Lab grows, this partnership will continue to inform how we build: research-aware, design-respectful, and focused on better environments rather than automation for its own sake.