Dessn raised $6 million in Series A funding to build AI-powered design tools that work directly with production codebases rather than isolated design environments.

The startup, founded by Gabriella Hachem and Nim Cheema, developed technology that runs codebases in the cloud without setup costs by abstracting away dependencies that typically require local development environments.

Connect Ventures led the round, with participation from Betaworks and N49P. Current customers include health company Color, voice AI company Wispr, and fintech Mercury.

Why production-focused design matters

Traditional design tools like Figma create handoff friction between designers and developers. Dessn eliminates this by letting designers work directly on live codebases, making it easier to iterate on existing products rather than starting from scratch.

"When we started the company two years ago, our whole thesis was [that] the code is going to get commoditized — and in a world where code is insanely cheap, you just get a lot more software, and then design becomes a way that's a differentiator," Cheema told TechCrunch.

The platform targets teams with existing codebases who want to iterate quickly, rather than ground-up ideation tools like Lovable or v0 by Vercel.

Dessn's infrastructure handles different backend architectures without requiring developer setup. The low switching costs mean teams can use it for individual projects without abandoning existing design workflows.

"The one thing that's great about Dessn is that we don't create switching costs. It's not like you have to drop all of Figma now, and you have to come to Dessn for everything," Hachem said.

The tool uses AI prompting for design creation rather than traditional toolbars. Hachem described herself and Cheema as "token maximalists" who prefer generating contextual interfaces on demand rather than maintaining static toolbars.

Dessn plans to integrate with tools like Slack, where teams could call up the platform to create prototypes based on ongoing discussions. The company sees potential in automating design workflows as AI tools increasingly work together for task automation.