Your data finally understood
One platform where teams and AI build a shared, trusted understanding of what enterprise data means — not just where it lives.
Your data is everywhere.
Understanding is nowhere.
Teams look at the same data and interpret it differently. Definitions vary. Logic is buried in code. Nobody knows which numbers to trust.
Five steps to trusted data
From scattered definitions to a living, reviewed, AI-enhanced knowledge base.
Capture any data concept
Create knowledge units for metrics, terms, tables, APIs, policies. Business and technical explanations side by side.
Connect to source systems
Link to databases, dashboards, documents, APIs. Track provenance and dependencies.
Challenge and improve together
Raise structured issues. Discuss definitions. Propose edits. Everything tracked and assigned.
Review and certify
Move from draft → approved → certified. Everyone sees how much to trust each definition.
Let AI accelerate everything
AI drafts, suggests relationships, detects conflicts, answers questions grounded in reviewed knowledge.
The total predictable revenue generated from all active subscriptions in a given calendar month, excluding one-time fees, usage overages, and credits.
WHERE subscription.status = 'active'
AND subscription.type != 'one_time'
GROUP BY DATE_TRUNC('month', date)
Everything you need to build
shared understanding
A purpose-built system for documenting, reviewing, and trusting enterprise data.
Search-first discovery
Find any data concept instantly. Keyword search, semantic search, AI-powered questions, and filters across every type of knowledge unit in your organization.
Structured collaboration
Challenges, threads, evidence, and resolution tracking. Like code review, but for data definitions. Every question and answer is preserved.
Review and certification
Approval workflows with clear statuses. Everyone sees whether a definition is a rough draft or a certified source of truth.
Source system links
Connect knowledge units to databases, APIs, dashboards, and documents. Track provenance and keep references current.
Relationship graph
Visualize dependencies, conflicts, upstream and downstream connections. Navigate your data landscape with full context.
Trust is not assumed.
It's earned and visible.
Every knowledge unit carries a clear status so your team always knows how much to rely on each definition.
AI that works with your knowledge,
not around it
Connect any data source, build knowledge around it, and chat with the actual data. The AI reads your schemas, your documents, and your team's reviewed definitions — then answers from all of it.
Explain in plain language
Ask questions and get answers grounded in your company's own definitions, not generic web knowledge.
Draft descriptions
AI generates business and technical explanations from metadata and schemas. Humans review and refine.
Suggest relationships
Auto-detect connections between knowledge units. Surface duplicates, conflicts, and dependencies.
Semantic search
Search by meaning, not just keywords. Find related concepts even when the terminology differs across teams.
Summarize discussions
Condense challenge threads and review conversations into clear summaries with decisions highlighted.
Built-in guardrails
Every AI answer includes citations, confidence scores, and requires human approval before becoming trusted knowledge.