Your dashboards, notebooks, and SQL queries aren't just reports. They're encoded institutional knowledge — the hard-won logic of how your business actually measures itself.
But when AI generates SQL from scratch, you get different answers to the same question depending on the day, the model, or which table it happened to explore first.
Business decisions depend on consistent numbers. Your Q4 revenue should look the same whether you ask Monday or Friday, in Claude or Gemini.
Nodal extracts the intelligence your analysts have already built and makes it available to every AI tool in your organization.
When a question maps to a verified query in your hub, Nodal returns a trusted answer in seconds — anchored to the same logic your analysts use.
When a question is ambiguous or new, it routes to your data team with full context — not a blank email thread. Analysts resolve it once, and the system learns.
Every question asked, every answer validated, every caveat added — all of it makes Nodal more accurate for your specific business. The analyst-hours you save compound.
A business user asks "How does NRR compare between APAC and LATAM?" in Gemini. Nodal routes to a verified query from a trusted dashboard — the same logic your analysts already use.
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The same question asked through Claude Code with only a Snowflake MCP connection. The AI spends dozens of tool calls discovering tables, guessing at schema, and generating SQL — with no guarantee the result matches how your organization defines the metric.
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When the AI doesn't have a verified answer, the business user sees a clear escalation — not a hallucinated guess. Their question routes to an analyst with full context.
Analysts receive escalated questions with a proposed query and full context. They review, edit, and approve — and the system learns for next time.
Claude via MCP. Gemini via A2A. Snowflake, BigQuery, Postgres, Redshift. dbt, Looker, Tableau, Metabase. One integration makes your institutional knowledge available to all of them.
Only validated queries reach business users. When two queries could answer differently, a human decides which is right and why. Compliance, consistency, and trust — built into the architecture.
Stateless AI agents spend dozens of tool calls exploring your schema before generating a query. Nodal retrieves the right query in milliseconds, at a fraction of the cost. Speed and accuracy are not a tradeoff.
Every question asked, every answer validated, every caveat added makes Nodal more accurate for your business. A year of usage builds an asset that can't be replicated by a generic AI tool.
Nodal captures every interaction as a verified question-answer pair — the exact format that powers AI fine-tuning. Your organization builds a proprietary training dataset with every question asked.
Connect Nodal once. Every current and future AI agent gets access to your query hub automatically. As the AI landscape shifts, your institutional knowledge stays portable and governed.