Display.dev, a Tallinn-based startup, has raised €470,000 in pre-seed funding to build document collaboration infrastructure for AI agents. The round was backed by Outlast Fund, FIRSTPICK, Curiosity VC, and angel investor Henrik BohmanWise's first product manager.

The Problem: AI Generates Content, But Collaboration Is Broken

Founded in April 2026 by Ott Ilves and Carl Rannaberg, Display.dev was built to solve a specific gap: once an AI agent produces content, there's no clean way to share, review, or iterate on it across a team.

The platform works similarly to Google Drive, but purpose-built for agent output:

  • Each AI-generated document gets a shareable URL
  • Colleagues can review and comment on the content
  • AI agents process that feedback and publish updated versions
  • The result is a structured, collaborative loop between human reviewers and AI-generated output

Agent-Agnostic by Design

Display.dev is built to be interoperable across AI assistants and models, meaning organisations aren't locked into a single platform or provider. This positions it as neutral infrastructure rather than a tool tied to any one AI ecosystem.

"Our original intent was to build an elegant solution to one small problem. But the deeper we went, the clearer it became just how large the need for knowledge work infrastructure for agents actually is."Ott Ilves, co-founder, Display.dev

Flat Pricing, Not Per-Seat

Unlike most SaaS products that charge per user, Display.dev uses company-wide pricing — a deliberate choice to remove cost friction as teams scale their use of AI-generated content. This pricing model makes it easier for organisations of varying sizes to adopt the platform without worrying about usage-based cost creep.

What's Next

The €470K in pre-seed capital will go toward:

  • Further development of the agent-native document platform
  • Expanding infrastructure for managing and sharing AI-generated content
  • Growing the team to support enterprise adoption

Display.dev is betting that as AI agents become more deeply embedded in knowledge work, the infrastructure for managing their output will become as essential as the agents themselves.