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Enterprise Brain

A shared context retrieval layer that connects enterprise data sources to AI agents and RAG systems, enabling grounded, accurate, and up-to-date answers on demand.

AI Agents Are Only as Reliable as the Context They Can Access

Enterprise data is fragmented across applications, documents, databases, and tools. AI teams often rebuild custom retrieval pipelines for every agent, creating stale data, inconsistent answers, and fragile integrations.

The Context Layer Between Enterprise Data and AI Systems

Enterprise Brain continuously indexes data from connected sources, builds organizational knowledge over time, and exposes it through a unified, LLM-friendly retrieval interface

Instead of connecting every agent directly to every system, Enterprise Brain gives AI systems one reliable place to retrieve trusted context.

How It Works

Instead of building a separate retrieval pipeline for every agent, teams can use Enterprise Brain as shared context infrastructure across multiple AI use cases.

01

Create Collection

Start by creating a dedicated knowledge collection for a team, department, workflow, or AI use case. A collection acts as a searchable knowledge base where related enterprise information is organized, indexed, and made available for retrieval.

02

Add Sources

Enterprise Brain syncs data from applications, documents, databases, tools, and internal systems using ready-to-use connectors. As information changes, the brain keeps the index updated so agents are not relying on stale snapshots or outdated exports.

03

Index and Build Knowledge Over Time

Once sources are connected, Enterprise Brain processes and indexes the data so it becomes searchable and retrievable by AI systems. It supports different retrieval patterns, including semantic search, keyword search, hybrid search, time-aware search, and agentic search.

04

Supercharge Your Agent

AI agents and RAG systems can query Enterprise Brain through a unified, LLM-friendly interface. When an agent needs context, it sends a natural language query to Enterprise Brain. The brain retrieves the most relevant, up-to-date information from connected sources and returns grounded context the agent can use to answer, reason, or take action. 

Built for Reliable Enterprise Retrieval

Powerful Search

Semantic, keyword, hybrid, time-aware, and agentic search across apps and formats

Real-Time Data Sync

Keeps AI responses grounded in current enterprise data, not stale snapshots

Unified Retrieval Interface

Gives agents one consistent way to access context across systems

Reusable Knowledge Infrastructure

Shared retrieval layer for multiple agents, copilots, and RAG workflows

Permission Aware Retrieval

Enterprise AI systems need access to context without ignoring business controls.

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Get Started with a Rapid Proof of Concept​

Validate feasibility, ROI, and technology fit in just four weeks.

Our Rapid Proof of Concept helps your team validate Enterprise Brain against real business data, real retrieval needs, and real AI agent use cases.

Instead of spending months designing a full knowledge architecture upfront, we identify one high-value workflow, connect the right data sources, create a searchable collection, and demonstrate how your agents can retrieve grounded, up-to-date context on demand.

Your Path to Enterprise AI Starts Here

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Your Path to Enterprise AI Starts Here

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