Miro

Overview

As of 2026, Miro has transitioned from a standard digital whiteboard to a comprehensive 'Innovation Workspace' that integrates deeply with the enterprise technical stack. Its architecture leverages a high-performance WebGL-based canvas to handle thousands of concurrent objects with millisecond-level latency across distributed teams. Miro Assist, the platform's native AI engine, now automates the synthesis of unstructured data into structured outputs like Jira tickets, Mermaid.js code, and complex system architectures. The platform's 2026 market position is defined by its ability to serve as a single source of truth for the entire Software Development Life Cycle (SDLC), bridging the gap between non-technical stakeholders and engineering teams. With its Developer Platform (v2.0), it allows for deep custom app builds directly on the canvas, while its enterprise-grade security framework (including Data Residency and advanced EKM) makes it the standard for Fortune 500 companies seeking to integrate generative AI safely into their creative and strategic workflows.

Common tasks

System Architecture Diagramming AI-driven Brainstorming Agile Ceremony Management Low-fidelity Wireframing Dynamic Data Visualization

FAQ

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Does Miro support offline editing?

No, Miro is a cloud-native platform and requires an active internet connection, though some data is cached in the desktop app.

Can I use Miro for HIPAA-compliant data?

Yes, Miro offers a HIPAA-compliant plan specifically for Enterprise customers with the necessary BAA signed.

Is there a limit to the number of users on a single board?

While there is no hard limit, performance may degrade slightly after 300+ simultaneous active collaborators; 'High Performance' mode is recommended for large groups.

How does Miro Assist AI use my data?

Miro Assist uses board content to generate responses. For Enterprise users, Miro ensures that data is not used to train global LLM models.

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