Putting enterprise data to work
The Sovereign Data Intelligence OS
Genloop connects enterprise records and documents into shared business understanding, coordinates agents and workflows, and learns from use. Your data and IP stay under your control.
The Problem
Four gaps between data and dependable AI
AI is moving fast. Enterprise value takes more.
Gap 1
Each app starts again.
Data lacks shared meanings, relationships and business rules. Every new AI project rebuilds the same understanding from scratch.
Gap 2
Work that is not repeatable.
Agents need shared context, permissions and validation to make work repeatable. Without them, every run is a new guess.
Gap 3
Learning that dies in the chat log.
Useful corrections and successful work rarely improve the next interaction. Thousands of interactions, nothing carried forward.
Gap 4
Intelligence that leaves the building.
Your data, context and operating knowledge should stay within your enterprise boundary. Preparing context elsewhere exposes the IP that makes you competitive.
The problem
Four gaps between data and dependable AI
AI is moving fast. Enterprise value takes more.
Missing context
Data lacks shared meanings, relationships and business rules. Every new AI project rebuilds the same understanding from scratch.
Uneven execution
Agents need shared context, permissions and validation. Without them, every run is a new guess.
Lost learning
Corrections and successful work rarely improve the next interaction. Thousands of interactions, nothing carried forward.
Exposed IP
Your context and operating knowledge should stay inside your boundary. Preparing context elsewhere exposes the IP that makes you competitive.
revenue = ?
revenue = ?
revenue = ?
Each app starts again — no shared definition of what "revenue" means.
The OS, layer by layer
Four layers and a loop
Your data stays at the base. Understanding is built on top of it. Work runs on top of that, wherever your teams are. And what the work learns comes back down.
INTERFACES
Chat · MCP · API · Embed
APP STUDIO
Agents, tools, workflows
CONTEXT INTELLIGENCE LAYER
The understanding
ENTERPRISE DATA ESTATE
Your data, in place
↺ Self-Learning Loop — proven skills and updated context return to the base
Interfaces
Surfaces: wherever the work happens
Chat in Genloop, connect your agents through MCP, call the APIs, or embed inside your own product. Same understanding on every surface.
App Studio
The work gets done here
Reports, apps, presentations and workflows built on shared context. Your agents and Genloop agents under one orchestrator, with the same permissions for everyone.
Context Intelligence Layer
The understanding
The graph of tables, columns, KPIs, meanings and rules, built on connection and prepared inside your boundary with local SLMs. Edges strengthen as your teams use it.
Enterprise data estate
Your data, in place
Databases, lakehouses, documents, PDFs, media. Records and documents understood together. Nothing is copied out.
Self-learning
What the work learns comes back
Every interaction is audited. Proven skills return to App Studio. Updated context returns to the layer. Sensitive changes wait for human review.
Your business IP. Definitions, rules and learning stay under your control.