Data Preparation is a Job Nobody Likes
Let AI take care of data cleaning and preparation, so you and your data team can focus on critical tasks, helping your business win the AI race.
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Data Ingestion and Preparation Using The Tools You Know
A simple to use Python library for data ingestion and transformation. It connects to AI via an API to produce a data ingestion plan consisting of:
Cleaning and preparation
Data quality report
Metadata resource construction
Once data resources are ingested, they are auto-discoverable to the AI agent allowing users to use AI to ask questions about the data for data retrieval and reporting.
In the World of AI, Context is Key
AI is revolutionizing business on an industrial-revolution scale.
While the industrial revolution reshaped manual work, the new frontier is cognitive labor—where AI automates business-critical thinking and decision-making.
Agentic RAG (Retrieval Automated Generation for Agents) is leading this shift. Teams across data, technology, operations, and commercial functions already use tools like Co-Pilot and Cohere to automate workflows.
The Problem? Today’s Agentic RAG models do not fully integrate a business’s structured data. The result:
Limited automation potential
Fragmented, error-prone outputs
Business insights lost in AI’s blind spots
Businesses that solve business-wide data retrieval for AI will win by force of productivity and efficiency.
We Can Help You Win
We have a working prototype AI Data Preparation Agent and a full demonstration of an automated data product creation, including agent query over data product for data retrieval and reporting, and we’d love to show you.
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