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A New Category

The AI Data
Operating System

BI tools visualize. Data warehouses store. Text-to-SQL chatbots answer. None of them operate. DataAgents is the first platform that connects, understands, reasons over, predicts from, and automates your business data- as an integrated operating system.

Defining the Category

The data stack has been disaggregated for too long. You have a warehouse for storage, a BI tool for visualization, dbt for transformation, a ML platform for modeling, a pipeline orchestrator for scheduling, and an AI chatbot bolted on top for questions. Twelve tools. Zero shared understanding.

An AI Data Operating System is a unified platform that replaces this fragmented stack. It doesn't just store, visualize, or query data- it operates on it: building semantic understanding, running autonomous agents, generating predictions, and taking actions based on business rules.

The analogy is apt: just as an operating system coordinates hardware resources on behalf of applications, an AI Data OS coordinates your data resources on behalf of your business- providing a shared abstraction layer that every team works from.

Six Core Capabilities

Every capability that was previously a separate tool- now one integrated platform.

🔌

Connect

550+ pre-built connectors. Your data sources unified in minutes.

🧩

Understand

Semantic layer that maps raw data to business concepts- revenue, churn, users.

🤔

Reason

AI agents that answer questions, detect anomalies, and surface insights proactively.

🔮

Predict

Built-in ML for revenue forecasting, churn prediction, and growth modeling.

⚙️

Automate

Pipelines, orchestration flows, and reports that run without human input.

🔒

Govern

Lineage, audit trails, access controls, and GDPR/SOC2 compliance built in.

How DataAgents Compares

Every other tool in the data stack solves one piece. DataAgents solves the whole stack.

🗄️
Data Warehouse
Snowflake, BigQuery, Redshift
What it does
Stores and queries data
What it misses
No reasoning, no business semantics, no agents
📊
BI Tool
Tableau, Looker, Power BI
What it does
Visualizes data for humans
What it misses
Passive- waits to be asked. No automation, no AI action
💬
Text-to-SQL / AI Chatbot
ThoughtSpot, Databricks AI/BI, custom ChatGPT
What it does
Answers ad-hoc questions
What it misses
No memory, no consistent definitions, no proactive operations
🧠
AI Data Operating System
DataAgents
What it does
Connects, understands, reasons, automates, and governs your data- end to end
Result
Nothing. This is the full stack.
Ready when you are

See Your Data Clearly - Without Building a Data Team.

Connect your sources, standardize your metrics, and get decision-ready answers in minutes.

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