FLORA launches FAUNA — an AI creative agent for professional design teams

What happened

On March 31, 2026, FLORA — a Brooklyn-based AI creative platform — launched FAUNA, an AI creative agent built directly into FLORA’s visual canvas. The company has raised $52 million to date and counts Nike, Netflix, and Pentagram among its current users.

FAUNA differs from one-click AI image generators in its design. Rather than producing a single output from a prompt, it builds a visible, adjustable workflow on a node-based canvas. Users describe a creative direction or brief; FAUNA selects appropriate AI models, sequences the workflow, and generates content — with every step displayed and editable in real time. The stated problem it addresses is the gap between initial concept generation (where most AI tools perform well) and the iterative refinement that professional creative work actually requires.

Context

FLORA’s platform is model-agnostic, giving users access to 50+ AI models through a single interface. FAUNA adds agentic behavior on top of this — it conducts real-time web research, integrates with Unsplash for reference imagery, and allows users to redirect specific canvas elements without reprocessing an entire project.

Two tools launched alongside FAUNA. Techniques are reusable workflows built by practitioners at companies including Netflix, Base Design, and Wonder Studios, which teams can adapt rather than build from scratch. An Image Editor allows direct editing within FLORA’s canvas, removing the need to switch to an external application mid-workflow.

Weber Wong, FLORA’s founder and CEO, described the motivation as building for experienced creatives with strong artistic vision but limited capacity for extensive manual iteration — pointing to a gap left by tools designed for general audiences.

Why it matters for designers

FAUNA positions itself at the professional end of the AI design market, targeting design directors and senior creatives rather than beginners. The node-based canvas approach means all creative decisions are documented as workflow history, which has practical value for teams that need to explain or reproduce their process for clients or internal stakeholders. The Techniques library lowers the barrier for teams new to AI-assisted workflows by offering tested starting points from established creative studios.

For designers evaluating AI tools in 2026, FAUNA represents a different model than the dominant prompt-and-export paradigm: one where the workflow itself is the deliverable, not just the output image.