Wong highlights a redesigned creative process that unifies multiple AI models into a single, integrated interface.

Flora, a node-based, AI-native design platform, closed a $42 million Series A, bringing total funding to $52 million and signaling strong investor confidence.

The fresh capital will fuel growth in sales and engineering, expand the editing environment with professional-grade tools, and advance an intelligent workflow assistant and codified creative processes.

Flora, which currently employs about 25 people, plans to hire engineers and scale its sales and marketing efforts with the new round.

Flora enables reusable systems and libraries that generate on-brand variations in minutes, accelerating workflows from weeks to days and turning briefs into production-ready campaigns quickly.

Its approach builds libraries of reusable workflows to compress creative cycles, producing on-brand variations in minutes.

Notable clients and users cited in the pitch deck include Nike, Levi’s, AKQA, Red Antler, Lionsgate, and Pentagram.

The platform uses a node-based, AI-native design workflow where a graph of inputs, models, controls, and outputs sits on a single canvas to visualize and branch creative work.

Flora hosts tools from major providers—such as Google, Runway, Kling, and OpenAI—and supports diverse campaign and placement use cases within one platform.

The company shifted to a usage-based pricing model with recurring credit packs, moving away from per-seat subscriptions.

Flora supports real-time collaboration, preserves brand control, and enables repeatable outputs across large campaigns with clear model-switching for different tasks.

CEO Weber Wong argues for a new creative workflow interface in generative computing, viewing AI as foundational to design rather than just a tool, and emphasizes stitching multiple models into one cohesive workflow.