OpenSearch veterans launch Infino. Here’s why it matters for agent builders.
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Infino, a new platform developed by veterans from OpenSearch, aims to simplify data retrieval for AI agents by providing a unified system that allows agents to query all data from a single source.
What happened
Infino, a company founded by veterans from OpenSearch, has launched a new agent retrieval platform that provides a unified data retrieval system for AI agents. The platform is designed to address the challenges of querying data for agents, which differ from traditional data query patterns. Infino uses Apache Parquet for data storage and offers a single interface for querying structured and unstructured data, reducing the need for multiple data systems and pipelines.
Why it matters
Infino's platform addresses the growing need for efficient data retrieval in AI agent systems, which are becoming increasingly complex. By providing a unified and cost-effective solution, Infino helps developers and data teams manage data more efficiently, reducing the complexity and cost associated with traditional data infrastructures.
- Infino provides a unified data retrieval system for AI agents, improving efficiency and reducing complexity.
- The use of Apache Parquet allows for a single data copy that serves multiple query types.
- Infino's approach can significantly lower costs compared to traditional data infrastructures.
- The platform enables centralized governance and policy enforcement for AI agents.
- Infino is optimized for organizations already using or planning to use Parquet for data storage.
The bigger picture
Infino's platform simplifies data management for AI agents, reducing the need for multiple data systems and pipelines. This can lead to cost savings, improved efficiency, and easier governance for organizations using AI agents.
Infino, developed by OpenSearch veterans, introduces a unified data retrieval platform for AI agents, addressing the challenges of managing complex data queries. By using Apache Parquet and offering a single interface for querying data, Infino aims to simplify data management, reduce costs, and improve efficiency for organizations leveraging AI agents.
Technical details
- Unified retrieval layer for AI agents
- Apache Parquet for data storage
- Single copy of data for multiple query types
- Integration of retrieval functions directly in SQL
- Embedded search indexes within Parquet files
- Support for structured and unstructured data queries
FAQ
What is Infino?
Infino is a new platform developed by veterans from OpenSearch that provides a unified data retrieval system for AI agents, allowing them to query all data from a single source.
How does Infino differ from traditional data systems?
Infino is designed to handle the unique data query patterns of AI agents, which differ from traditional human or application queries. It uses a single copy of data stored in Apache Parquet, reducing the need for multiple data systems and pipelines.
What are the benefits of using Infino?
Infino reduces the complexity and cost of managing data for AI agents by providing a unified retrieval layer, enabling efficient querying of structured and unstructured data, and offering centralized governance and policy enforcement.
This summary and analysis were generated with AI from the original article and may contain errors. Read the original for the full story.
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Originally published by The New Stack - AI on Oct 7, 2026.
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