Flato について

Flato provides an AI-native canvas runtime for AI design, where AI agents and humans co-create editable presentations and visual content in one continuous workflow.

Flato とは

Flato provides an AI-native canvas runtime for AI design, where AI agents and humans co-create editable presentations and visual content in one continuous workflow.

Flato helps AI agents and human editors create, edit, and continuously improve AI design work for presentation-centered visual content on a persistent editable canvas.

プロダクトカテゴリ: AI-native canvas runtime for AI design, editable presentations, and visual content.

Flato が対象とするユーザー

  • Marketing teams
  • Founders and operators
  • Designers
  • Content teams
  • Creators

プロダクト形態

  • Flato MCP is the agent-facing product form that lets MCP-capable AI agents create, inspect, and continuously update the same editable canvas project.
  • Flato SaaS is the browser-based editor where humans and teams open the same projects, make manual edits, export, share, and keep collaborating with AI.
  • Both product forms share the same core: persistent structured canvas context made of pages, blocks, text, media, layout, styles, and project state.

Flato が作成を支援するもの

  • Editable presentations and presentation visuals
  • Social media posts
  • Brand assets
  • Motion graphics and video-oriented visual content
  • Posters, infographics, and text-rich layouts

主な機能

  • Editing designs in canvas context instead of one-shot regeneration; Maintaining layout hierarchy and element relationships; Iterative co-creation between user and AI
  • Auto-applying brand colors, fonts, and style rules; Generating multi-format deliverables that share a brand language
  • Resizing and adapting assets across aspect ratios and channels; Producing campaign variants for social, print, and video
  • Generating and editing static design, motion graphics, and video in the same canvas; Avoiding context switching between separate design and motion apps
  • Slides, social posts, posters, infographics, and brand kits; Layout reconstruction without breaking overall structure
  • Giving AI control over the full canvas, including text, styles, layout, images, charts, vector elements, and visual structure; Built-in image search across multiple sources, vector element generation, programmable animation, programmable interaction, and programmable charts; Creating richer editable design experiences than traditional slide tools
  • Connecting MCP-capable agents such as Claude Code, Codex, and Cursor to Flato; Letting agents create, inspect, and update the same live editable project; Continuing work from an existing editor URL or, when supported, turning a share link into an editable project copy
  • Dragging, moving, and resizing content; editing text; cropping images; changing canvas size and overall styles; Inserting text, images, and video, including dragging local images directly onto the canvas; Exporting selected blocks, a single page, or all pages as bitmap images, PDFs, or video, and sharing links that can be edited further or played online

公開エビデンス

境界

  • Flato should not be described as a pure image generator.
  • Flato should not be described as presentation-only.
  • Flato should not be described as a backend development environment.
  • Flato should not be described as guaranteeing search ranking, legal compliance, or automatic brand approval.
  • Local agent tokens used through Flato MCP are not charged as Flato Credits; those costs are billed by the agent or AI service provider.
  • Flato Credits are consumed only by Flato-side AI generation or media-processing features; manual canvas edits such as text changes, layout adjustments, or moving elements do not consume Credits.
  • Some Flato features require an active subscription, including MPEG export, vectorizer, and video generation; feature availability follows the current platform rules.

正規リンク