Not another AI agent. The trust layer your AI agents are missing.

Your company uses Claude, Gemini, Codex, Copilot, Snowflake Cortex, Databricks Genie — maybe all of them. Each one generates different answers to the same data question. Nodal is the verified data layer that sits beneath all of them, so every AI in your org returns the same trusted answer.

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AI says "verify the output." Your business users can't.

Every AI tool warns that it can hallucinate. The standard advice: verify the answers. But for data questions, that's a fundamental disconnect — business users lack the technical skills to validate complex SQL, navigate messy schemas, or catch subtle join logic errors.

And the problem compounds when your organization uses multiple AI tools. Claude for analysis. Gemini in Google Workspace. Codex for engineering. Copilot in Teams. Snowflake Cortex and Databricks Genie for data. Each one connects to your data warehouse independently, generates its own SQL from scratch, and returns different answers to the same question.

This isn't a model problem — it's an infrastructure problem. You're asking non-technical users to trust unverifiable answers from inconsistent sources.

Nodal is the missing layer. A protocol-native trust infrastructure that gives every AI in your organization access to the same verified queries — so business users don't need to verify. The answer is already trusted.

How the trust layer works

1

Any AI calls into the verified query library

When someone asks a data question in Claude, Gemini, Codex, Snowflake Cortex, or any AI tool, Nodal intercepts the request via MCP or A2A protocols. If a verified query exists, it returns a trusted answer in seconds — no schema exploration, no guesswork.

2

Unknown questions escalate to experts — governance, not a limitation

When a question is new or ambiguous, Nodal routes it to your data team with full context. Analysts resolve it once, and the verified answer becomes available to every AI platform in your organization.

3

The verified query library compounds

Every question asked, every answer validated, every caveat added — all of it grows your organization's verified query library. Analysts build once, and every AI in the org uses it forever. A year of usage creates an institutional asset no generic AI can replicate.

Nodal full system flow

Same question. Very different results.

With Nodal

Trusted answer from validated logic

A business user asks "How does NRR compare between APAC and LATAM?" in Gemini. Nodal's trust layer retrieves a verified query via the A2A protocol — the same logic your analysts already use — consistent across every AI platform.

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Faster Retrieves, not explores
Verified Query source
Consistent Same answer every time
Without Nodal

AI explores from scratch — and expects you to verify

The same question through Claude Code with only a direct Snowflake connection. The AI generates complex SQL from scratch and asks the business user to verify it. Are you expecting a non-technical user to decipher this query?

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Slower Explores schema from scratch
Generated Query source
Inconsistent Different answer each run

Trust infrastructure in action

Governance layer

How analysts resolve questions

Analysts receive escalated questions with a proposed query and full context. They review, edit, and approve — and the verified answer becomes part of the query library, available to every AI in the organization.

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Why data leaders deploy trust infrastructure

Works with every AI, every warehouse

Protocol-native from day one. Claude via MCP. Gemini via A2A. Codex via API. Snowflake Cortex. Databricks Genie. Any future AI via open standards. One trust layer connects your verified queries to all of them.

Governance built into the protocol

Only verified queries reach business users. When two queries could answer differently, a human decides which is right. This isn't a feature — it's how the architecture works.

Retrieval, not generation

AI agents without a trust layer spend dozens of tool calls exploring your schema. Nodal retrieves the verified query in milliseconds. It's not a better agent — it's a fundamentally different architecture.

A compounding verified query library

Every question asked and every answer validated grows your organization's verified query library. This asset belongs to you and compounds over time — it can't be replicated by switching AI vendors.

Your query library is a fine-tuning dataset

The trust layer 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.

One integration. Every agent. Forever.

Connect the trust layer once. Every current and future AI agent gets access to your verified query library automatically. As the AI landscape shifts, your institutional knowledge stays portable and governed.

Add the trust layer your AI agents are missing

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