Ex-Libro
API-first AI backend for conversational knowledge work.
Ex-Libro connects your documents, databases, APIs, and workflows into a unified intelligence layer – so you can embed domain-aware AI directly into your applications.
What It Does
Ex-Libro is designed to integrate, not replace. It powers conversational agents, retrieval, and multi-step workflows behind the scenes while your applications stay front and center.
- Supports guided workflows and agentic pipelines
- Integrates into your existing applications through APIs and SDKs
- Connects documents, databases, and external services into one AI layer
- Powers domain-grounded conversational agents and retrieval
Core Capabilities
The building blocks that make Ex-Libro work.
API-First Integration
Expose agent conversations, retrieval, and knowledge operations through clean APIs. Your frontend, your UX, your rules.
Agentic Pipelines
Go beyond simple Q&A with guided conversations, task automation, form workflows, and domain-specific reasoning chains.
Multi-Tenant by Design
Serve multiple teams, organizations, or use cases from one deployment with tenant isolation, roles, and configuration built in.
Two Ways to Use It
Ex-Libro works the way that fits your organization.
As an AI Backend
Integrate Ex-Libro into your own applications. Your users stay in your interface while Ex-Libro provides retrieval, conversations, and workflows behind the scenes.
With Built-In or Custom Applications
Start with a ready-made application or work with us to build one tailored to your domain, your users, and your workflows – powered by the same backend.
From knowledge to deployed AI
A complete workflow – from raw knowledge to deployed, domain-specific AI applications.
Administer – Dashboard
Manage tenants, users, roles, and platform configuration.
Deploy – Studio
End users create and customize knowledge assistants based on blueprints defined with the Workbench.
Design – Workbench
Build agentic applications and workflows. Define the blueprints that structure behavior.
Integrate – API
Embed knowledge assistants and agentic workflows directly into your applications via a clean REST API.
Curate – Alembic
Ingest, organize, and index domain knowledge from documents and data sources.
Experiment – Laboratory
Test, evaluate, and refine agents using Python and JupyterLab.
See it in action
We’ll walk you through an integration scenario tailored to your use case – no slides, no generic demos.