# What is Agentic Data Intelligence?

Agentic Data Intelligence (ADI) is the control plane for AI data analytics. It sits as a thin layer between agents and your data, generating a machine-readable model of what your data means and an enforceable contract that constrains how AI agents use it. The result is consistent, trustworthy analytics above the stack you already run.

ADI augments a stretched team rather than replacing it, and extends your existing catalogue and governance rather than replacing them.

## Business meaning is the missing layer

Business meaning is scattered across SQL, dashboards, documentation, and people's heads. No layer in the modern data stack owns it, so every tool downstream, agents included, works with incomplete context.

Two dashboards, same question, different numbers. That is not a tooling problem. It is a meaning and trust problem.

## Why copilots have not closed the gap

The modern data stack has never been more capable: cloud warehouses, transformation frameworks, metrics stores, BI tools, and now AI copilots. Yet most organisations still struggle to turn raw data into answers they can trust.

Copilots write SQL quickly from a natural-language question. They just cannot tell you whether the answer is right. They pattern-match against a schema without knowing what the metrics actually mean or which calculations are valid. Because the LLMs behind agents are non-deterministic, the same question can produce different SQL and different numbers, with no way to tell which is correct.

## How ADI is different

ADI works out what your data means first, then holds agents to it. It builds an explicit, machine-readable model of your business semantics and an enforceable contract: the metric definitions, the valid dimensions, the allowed joins, the governance rules, all defined once. Every agent, every session, and every query works from the same definitions, and generated SQL is held to them.

Correctness is the starting point. If a question cannot be answered correctly within the contract, ADI says so rather than guessing.

Keep the copilots and agents you already use. ADI works above them, constraining how they query the data and holding them to what the metrics mean.

## Human-in-the-loop

ADI does not act alone. You approve changes to the semantics and the contract. The process is transparent: changes are explicit, versioned, and reviewable. The human role shifts from writing routine SQL to defining what matters to the business and deciding what to do with the answers.

## Two editions, one control plane

Whether through a Skill in a coding agent or a native app in your warehouse, ADI brings the same semantic understanding and enforcement to data work.

**Starter Edition** is for individual developers, data engineers, and analysts adding semantic and control functionality to the agents and agentic workflows they use for data analytics. It is delivered as a plugin that bundles the ADI Skills and MCP server, which can also be installed individually, for coding agents and IDEs.

**Enterprise Edition** brings the same semantic and control layer to teams using copilots and agents on cloud data and analytics platforms, where governance, accuracy, and consistency matter most. It runs as a native app inside your own warehouse and extends, rather than replaces, your existing catalogue and governance.

Both editions carry the same positioning, the same control-plane principle, and the same human-in-the-loop model.

## Company background

Agentic Data Intelligence SA is a Swiss company, headquartered in Geneva and backed by leading venture capital firms, founded in 2021. ADI was built from first-hand experience with on-chain blockchain data, some of the most complex data there is to interpret, where the scalability and trust challenges are the same ones data teams meet every day.

Starter Edition is entering Closed Beta and Enterprise Edition is in limited Alpha. Request early access at [agentic-data.com/access](https://agentic-data.com/access).

- **Website:** [agentic-data.com](https://agentic-data.com)
- **Resources:** [agentic-data.com/resources](https://agentic-data.com/resources)
- **X / Twitter:** [@agentic_data](https://x.com/agentic_data)