FigureOne Viz

What is FigureOne Viz?

An AI-powered tool that transforms text descriptions into publication-ready medical illustrations — built specifically for healthcare researchers, pharmaceutical scientists, and medical academics.

Why not just use DALL-E or Midjourney?

Generic AI image generators are impressive — but they weren't designed for scientific publishing. They struggle with precise labeling, consistent color palettes, structured layouts like CONSORT diagrams, and the visual conventions that journals expect.

FigureOne Viz is different. Instead of one model doing everything, it uses a pipeline of 5 specialized AI agents that each handle a specific part of the illustration process — from finding reference styles to refining the final output.

Powered by a multi-LLM architecture — combining Anthropic's Claude for strategic planning, styling, and critique with Google's Gemini Pro for image generation. We actively monitor advances in AI and update our pipeline to always use the best model for each task. Combined with up to 3 rounds of automatic refinement, every illustration is iterated on until it's publication-ready.

How It Works: The 5-Agent Pipeline

Your text goes through five specialized AI agents, each focused on one job. Think of it like an illustration team working in sequence — powered by multiple LLMs, each chosen for what it does best.

Agent 1

Retriever

Finds relevant reference diagrams from academic sources to guide the visual style and layout.

Agent 2Claude

Planner

Powered by Claude, translates your text description into a structured visual plan with layout, labels, and hierarchy.

Agent 3Claude

Stylist

Powered by Claude, enforces publication-quality aesthetics — colors, typography, spacing, and journal-ready formatting.

Agent 4Gemini Pro

Visualizer

Powered by Gemini Pro, renders the final illustration using the industry's leading AI image generation model.

Agent 5Claude

Critic

Powered by Claude, reviews the output for quality and accuracy, automatically refining the illustration up to 3 times to ensure publication-ready results.

Why It Stands Out

Multi-LLM Architecture

Claude handles the strategic thinking — planning, styling, and critique — while Gemini Pro handles image generation. Each model does what it's best at, delivering results no single model could match.

Built for Science

Purpose-built for medical and life sciences figures — not generic art. Every output targets journal-quality standards (NEJM, Lancet, JAMA).

Iterative Refinement

The Critic agent automatically reviews and refines every output up to 3 times — like having a built-in peer reviewer that never skips a round.

Domain-Specific Styles

Choose from clinical methodology, statistical plots, molecular pathways, and medical education templates.

Accuracy-First Design

Pipeline agents enforce correct representation of pathways, trial designs, and data visualizations.

Powered by the open-sourcePaperBananapipeline,Anthropic Claude&Google Gemini AI