Sentiuma

Build together with Markdown

Real-time collaboration that unifies human collaboration and machine reasoning — making product discovery as structured, searchable, and measurable as code.

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AI Documentation Platform Interface showing code analysis dashboard with semantic knowledge graph visualization

Modern product teams are drowning in context loss

Discovery work happens in Miro, documentation in Confluence, delivery in Jira, and none of it is machine-readable or connected. AI tools can summarise, but not collaborate — they can't reason with your real artefacts or join your product conversations.

This fragmentation slows discovery, weakens strategy, and forces teams to re-learn the same knowledge each cycle.

AI-collaborative workspace for product teams

A markdown-native, AI-collaborative workspace that turns discovery and planning into living, version-controlled artefacts any LLM can understand. Combining real-time mob collaboration, semantic context intelligence, and offline-first syncing to bridge discovery, specification, and build.

Markdown-native workspace

Structured text, no lock-in, fully portable. Write in markdown and maintain complete control over your data.

Git-style version control

Every change tracked, branchable, mergeable. Treat your discovery work with the same rigor as your code.

Live mob sessions

Shared presence, timers, AI synthesis pipelines that turn discussions into structured markdown. AI proposes, humans approve.

Semantic intelligence layer

Auto-generate documentation and surface answers directly from your repos, research, and analytics. Unified intelligence graph across code, data, and research.

Offline-first collaboration

Capture, collaborate, decide, ship — even without connection. Plain markdown stored locally or in Git/Supabase.

Why teams choose Sentiuma

The only platform that unifies discovery, design, and code in a single, machine-readable workspace. No more context loss between tools.

Unified workspace — discovery, design, and code stay connected, not siloed across Miro, Confluence, and Jira
AI as collaborator — real-time AI participation in mob sessions with human approval
No lock-in — plain markdown stored locally or in Git/Supabase, open and portable
Unified intelligence — semantic graph across research, analytics, and code, not just one silo
Developer productivity metrics dashboard showing code intelligence analytics and engineering insights

The future of product work is AI-collaborative

Teams that make their discovery artefacts machine-readable will learn, decide, and ship faster — without losing control of their data. Join the waitlist to experience the power of discovery intelligence.

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