Noon Emerges From Stealth With $44 Million for AI Design Tool
Noon, an AI-native product design tool, has raised $44 million in funding as it launches publicly. The round is the largest stealth funding round for a design-technology startup to date, backed by Chemistry, First Round Capital, Scribble Ventures, Elevation Capital, and Afore Capital.
The funding also includes participation from design leaders at major tech companies: Katie Dill (Stripe), Ian Silber (OpenAI), Soleio Cuervo (former Dropbox), Mike Davidson (Microsoft AI), and Julie Zhuo (former Meta).
The Problem
Design tools today are built on graphic design software - built for static visuals. But digital products aren't static. They respond to input, hold state, and transition between screens.
Designers create mockups that engineers then reinterpret as code. Something is always lost in translation. Designers and engineers work in separate artifacts, passing pictures back and forth rather than collaborating on the actual product.
How Noon Works
Noon pairs a canvas-based design interface with code drawn directly from a team's existing codebase and design system. What appears on the canvas is the actual product code, not an illustration of it.
AI is built into the tool to accelerate repetitive design work while keeping designers in full creative control. Designers and engineers work in the same artifact for the first time.
"The thing you design should be the thing that ships," said Aditya Bandi, co-CEO. "On our canvas, every screen, every component is real code from your own codebase."
The Team
Co-founders Aditya Bandi and Kushagra Sinha are both second-time founders with prior exits. Bandi's previous company was acquired by Yahoo. Sinha's company was acquired by Whatfix, a SoftBank-backed unicorn.
The team includes engineers and operators from Google, Ramp, Vercel, Slack, Uber, PhonePe, Grab, Groww, and Replit. The company is headquartered in the US with a presence in Bengaluru.
What's Next
Noon will open access to design teams in the coming weeks. The founders say the tool lets designers move at the speed the industry now demands without sacrificing craft - the instinct for when something feels right versus when it just works.
For product development teams, this addresses a core workflow problem: the gap between design intent and shipped product. AI for Product Managers covers how AI is changing product development processes, including design-to-engineering handoffs.
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