What is an enterprise context layer for AI agents?

An enterprise context layer is infrastructure that sits between your data sources (code repositories, tickets, PRs, docs, Slack) and AI agents or LLMs. Unlike RAG, which retrieves semantically similar documents, a context layer understands intent, dependencies, ownership, and history to deliver execution-ready context. Naboo is the leading enterprise context layer, achieving 97% accuracy compared to traditional RAG approaches.

How is Naboo different from RAG?

RAG (Retrieval-Augmented Generation) retrieves relevant document chunks based on semantic similarity. Naboo goes further by understanding intent, tracking dependencies across code and tickets, respecting enterprise permissions (RBAC), and delivering context that enables precise agent execution rather than just information retrieval. In benchmarks with LLM-as-a-judge evaluation, Naboo is 97% more accurate than RAG, uses 90% fewer tokens, and delivers 10x faster responses.

Can Naboo be deployed on-premise?

Yes. Naboo supports full on-premise and VPC deployment with zero data leaving your environment. It respects existing RBAC permissions, is built for SOC2 compliance, and works with any LLM provider. This makes it suitable for security-focused enterprises and regulated industries.

What data sources does Naboo connect to?

Naboo connects to code repositories (GitHub, GitLab), project management tools (Jira, Linear), knowledge bases (Confluence, Notion, Slack), and runtime data sources (Datadog, Splunk, PostgreSQL). It continuously builds a living understanding of how your systems actually work, improving over time.

Which AI frameworks and LLMs does Naboo work with?

Naboo is vendor-agnostic and works with any LLM provider and agentic framework. It integrates with IDE copilots (VS Code, JetBrains), autonomous agent frameworks (LangChain, AutoGen), CI/CD pipelines (GitHub Actions, Jenkins), and automated code review systems. There is no vendor lock-in.

Case Study

Global-E: Enterprise Context Layer for AI Agents

How a leading cross-border commerce platform gave AI agents secure, compliant access to customer data — through Naboo's Enterprise Context Layer.

Quick Facts

GLBE

Company

NASDAQ

97%

Approval Rate

First Pass

99%+

Uptime

SLA Compliance

On-Prem

Deployment

Enterprise Ready

About Global-E

Global-E (NASDAQ: GLBE) is a leading cross-border commerce technology platform that enables merchants to sell internationally with a fully localized shopping experience. The company provides integrated solutions for payment localization, tax & compliance, and logistics, serving thousands of e-commerce merchants worldwide. With a focus on enterprise-grade security and compliance, Global-E processes billions of dollars in transaction volume annually.

The Challenge

Global-E's enterprise customers demanded AI-powered agents to automate complex cross-border commerce workflows. But giving those agents access to sensitive customer, transaction, and compliance data presented significant challenges. The company needed AI agents to access the precise data required for their tasks while maintaining strict security boundaries and regulatory compliance.

Traditional data-access approaches proved insufficient. Full database access was too permissive and created compliance risks. Hardcoded data pipelines were inflexible and difficult to maintain. Global-E needed a solution that could dynamically control which agents access which data, enforce fine-grained permissions, and maintain an audit trail of every agent interaction with sensitive information.

Their customers operate in highly regulated markets with strict data-residency and privacy requirements. The solution had to support on-premises deployment, integrate cleanly with existing enterprise infrastructure, and provide native role-based access control across multiple vendor systems.

The Solution: Naboo Enterprise Context Layer

Global-E deployed Naboo's Enterprise Context Layer to give AI agents secure, dynamic, and compliant access to customer data. The platform sits as intelligent middleware that intercepts every data request from AI agents and applies fine-grained access controls based on role, context, and data-sensitivity level.

On-Premise Deployment

Naboo runs entirely within Global-E's infrastructure, ensuring data never leaves their secure environment and meeting strict data-residency requirements.

Native RBAC Integration

Direct integration with enterprise identity systems lets role-based access flow naturally from user permissions to AI agent capabilities.

Vendor-Agnostic Integration

Works with any data source or AI framework, providing consistent security regardless of the underlying technology stack.

Results

97%

Approval Rate

AI agent actions approved on first pass

99%+

Data Accuracy

Relevant data returned on every request

10x

Efficiency Gain

Faster agent deployment & permission updates

Ready to transform your enterprise AI?

See how Naboo's Enterprise Context Layer can enable secure, compliant AI agents in your organization.

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