Connect Salesforce, SAP, and ServiceNow to any LLM. Move AI from pilot to production without custom middleware.
AI works from live data, not last night's batch.
Automate multi-step workflows end-to-end, without custom API glue.
Security and legal teams get the evidence necessary to approve AI pipelines.
Native pipeline connections for Anthropic Claude, Azure OpenAI, private LLMs, and more, with PII detection and output guardrails included.
Expose pipelines as Model Context Protocol tools for AI agents, secured with token authentication.
Decouple prompt logic from pipeline code. Use a versioned template engine to inject real-time system variables and more.
Deliver AI deal summaries to sales reps derived from today's CRM data, not last night's batch.
Agents give current and grounded answers using your Confluence and SharePoint content.
AI agents search Salesforce cases and SAP order status on their own. No human in the loop required.
When anomalies pile up, automatically open a ServiceNow incident. No analyst needed.
When a deal advances in Salesforce, LLM inference fires automatically. No polling. No delay.
“If you’re not using Digibee to solve these types of problems, then you’re just overspending on your engineering effort.”

With fail-safe workflows, unified agent development, and managed updates, you can focus on what you’re building.
Simple, consumption-based pricing just like your cloud provider. No complicated add-ons.
AI acceleration combined with a flexible, low-code developer experience and seamless deployment.
Three metrics. One dashboard. No surprises.
Release notes and updates from the Digibee team.
Outbound-only HTTPS. No firewall changes. Connected to the mainframe on day one.
Digibee's Agent Connector ships with native connections for Anthropic Claude, Azure OpenAI, and private LLM deployments — with PII detection and output guardrails included by default. Switching providers is a configuration change, not a rebuild.
Digibee’s MCP Server Trigger exposes any pipeline as a callable tool via the Model Context Protocol with token authentication. AI agents call Digibee pipelines as MCP tools with enterprise access control, without a separate API gateway or custom authentication code.
Azure Data Factory and AWS Glue are data orchestration and ETL platforms. They move data between storage systems but have no native LLM connector, MCP Server Trigger, or vector database support. Digibee handles both real-time data delivery to the AI model and the AI inference step in a single pipeline, with PII masking and MCP tool exposure built in.
A Digibee RAG pipeline (document ingestion, chunking, embedding, storage in PGVector or Neo4j, and retrieval) is configured visually on the Canvas. Teams familiar with Digibee’s visual builder reach a running RAG pipeline in a day or two, compared to the four-to-eight week custom build that most enterprise AI teams report.
Switching LLM providers in the Agent Connector is a simple configuration change; select a different provider and update the credentials. Pipeline logic, transformation steps, PII masking, and downstream routing all remain unchanged. An enterprise can move from Azure OpenAI to Anthropic Claude, or run both simultaneously for cost and quality comparisons, without rebuilding integration code.