The Sovereign Data Intelligence OS

Make multimodal enterprise data AI-ready as you connect it. Power applications and agents with shared understanding that keeps learning, prepared with local SLMs, under your control.

The Sovereign Data Intelligence OS

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Make multimodal enterprise data AI-ready as you connect it. Power applications and agents with shared understanding that keeps learning, prepared with local SLMs, under your control.

Structured and unstructured data sourcesConnected business applications

Your Data Estate

Structured and unstructured data, scattered across databases, warehouses and documents. The decisions and reasons behind your numbers live in email, Slack and meetings.

Structured and unstructured data sourcesConnected business applications

Your Data Estate

Structured and unstructured data, scattered across databases, warehouses and documents. The decisions and reasons behind your numbers live in email, Slack and meetings.

Trusted by experts from

Trusted by experts from

Trusted by experts from

Trusted by experts from

One System, Three Modules

One System, Three Modules

Understand the business. Put it to work. Learn from every use.

Your enterprise data. Operational for AI.

Connect your data where it lives. Genloop makes it AI-ready by connecting four kinds of context across structured and unstructured information. The graph builds itself on connection, and your teams can start asking questions the same day.

Your enterprise data. Operational for AI.

Connect your data where it lives. Genloop makes it AI-ready by connecting four kinds of context across structured and unstructured information. The graph builds itself on connection, and your teams can start asking questions the same day.

Put shared understanding to work.

Build applications, agents and workflows on shared enterprise context. Coordinate the agents you build and the ones you already use, with the tools, rules and human checkpoints the job requires.

Put shared understanding to work.

Build applications, agents and workflows on shared enterprise context. Coordinate the agents you build and the ones you already use, with the tools, rules and human checkpoints the job requires.

Every deployment should leave your enterprise more intelligent.

Continuously audit production interactions. Learn what worked, identify what was missing, and return useful improvements to the applications and context your teams share.

Every deployment should leave your enterprise more intelligent.

Continuously audit production interactions. Learn what worked, identify what was missing, and return useful improvements to the applications and context your teams share.

Integrations

Integrations

Connect the estate you already have.

  • Databricks

  • HubSpot

  • Slack

  • Oracle

  • Salesforce

  • Google Analytics

  • Microsoft Teams

  • Metabase

  • PostgreSQL

  • Snowflake

  • Databricks

  • HubSpot

  • Slack

  • Oracle

  • Salesforce

  • Google Analytics

  • Microsoft Teams

  • Metabase

  • PostgreSQL

  • Snowflake

  • Google Sheets

  • MySQL

  • Mixpanel

  • Kafka

  • SAP

  • Planhat

  • SharePoint

  • Notion

  • Google Drive

  • Google Sheets

  • MySQL

  • Mixpanel

  • Kafka

  • SAP

  • Planhat

  • SharePoint

  • Notion

  • Google Drive

  • QuickBooks

  • Looker

  • Microsoft Azure

  • Trino

  • Airflow

  • Redshift

  • BigQuery

  • Amazon S3

  • Azure Synapse

  • Amazon Aurora

  • QuickBooks

  • Looker

  • Microsoft Azure

  • Trino

  • Airflow

  • Redshift

  • BigQuery

  • Amazon S3

  • Azure Synapse

  • Amazon Aurora

Interfaces

Interfaces

The interfaces your teams choose

Work directly in Genloop

Chat, build data apps, run agents and automations in one workspace.

Connect agents with Genloop MCP

Give the agents you already run the same maintained business context.

Use through APIs

Retrieve context, run workflows and pull outputs into your own systems.

Embed in your product

Put grounded answers and applications inside the experience your customers use.

Work directly in Genloop

Chat, build data apps, run agents and automations in one workspace.

Connect agents with Genloop MCP

Give the agents you already run the same maintained business context.

Use through APIs

Retrieve context, run workflows and pull outputs into your own systems.

Embed in your product

Put grounded answers and applications inside the experience your customers use.

Work directly in Genloop

Chat, build data apps, run agents and automations in one workspace.

Connect agents with Genloop MCP

Give the agents you already run the same maintained business context.

Use through APIs

Retrieve context, run workflows and pull outputs into your own systems.

Embed in your product

Put grounded answers and applications inside the experience your customers use.

Build for enterprise

Enterprise-grade security. Deployed at startup speed.

Enterprise-grade security. Deployed at startup speed.

Genloop is SOC2 Type II and ISO 27001

Compliance Certified

SOC2 Type II and ISO 27001 compliant. No enterprise data copies are created, interactions directly with your table sources.

Dashboard interface showing permissions management settings with user roles, module access controls, and checkbox-based authorization options in a modern web application.

Tight Access Controls

Role-based access control for every team and workspace. Scope data, queries, and liveboards so the right people see the right things.

Cloud deployment architecture illustration showing secure enterprise cloud environments including On-Prem, VPC, and Air-Gapped infrastructure options.

Built for Private AI

Fast, deterministic retrieval means you don't need frontier models to get precise answers. Run Genloop with SLMs On-Prem, in your VPC, or Air-Gapped, with no external LLM calls.

FAQs

Frequently Asked Questions

Frequently Asked Questions

How is Genloop different from ChatGPT?

What data sources can Genloop connect to?

How do you ensure answer reliability?

How does Genloop handle data security?

How does Genloop manage access controls across departments?

Can we deploy in our own cloud?

How long does onboarding take?

Can it work with structured and unstructured data at the same time?

Make your data operational. Keep your intelligence yours.

Make your data operational. Keep your intelligence yours.