AI-First BI Platform

Build analytics the way software is built — with AI, code, and automated validation.

Visiology Analytics transforms Business Intelligence from manual dashboard building into a programmable analytics platform designed for AI agents and modern BI teams.

See How It Works

Traditional BI Was Never Designed for AI

Modern BI tools were built for manual interaction. Dashboards are created through graphical interfaces, widgets are configured by clicking menus, and maintaining large BI environments becomes slow and fragile.

Repetitive manual work

Building dozens of similar reports requires repetitive manual work

Slow updates

Updating dashboards across projects takes hours or days

No version control

Version control is limited or impossible

AI-incompatible

AI agents cannot interact with GUI-only systems

As a result, Business Intelligence remains difficult to scale.

The Evolution of Business Intelligence

Stage 1

Traditional BI

Manual dashboards

Tableau, Power BI
Stage 2

Search BI

Ask questions

ThoughtSpot
Stage 3

AI-First BI

AI builds analytics

Visiology Analytics

Instead of just answering questions, AI can now create and maintain analytics systems.

BI as Code

Your Entire Analytics Workspace as Code

In Visiology Analytics, a complete BI project is represented as structured files. Dashboards, metrics and models become part of a programmable analytics workspace.

project structure
/analytics-project
model.yaml
measures/
revenue.dax
margin.dax
dashboards/
sales_dashboard.json
widgets/
map_widget.ts

Massive scalability

Update hundreds of dashboards with a single change

Programmatic generation

Generate analytics automatically

Git-native workflows

Version control, code review and rollback

AI-driven modifications

AI agents can read and modify analytics projects directly

Analytics finally behaves like software.

AI That Can Verify Its Own Work

One of the biggest challenges in AI-generated analytics is verification. How does an AI know that the dashboard it created is correct? Visiology solves this with an AI Feedback Loop.

Step 1

Static Validation

Local validation checks file structure and references. The system ensures that all widgets, metrics and models exist and are connected correctly.

Step 2

Server Validation

The platform performs deeper validation: DAX formulas are checked, relationships are validated, conflicts are detected. Errors are returned directly to the developer or AI agent.

Step 3

Visual Feedback

The platform renders the updated widget and returns a screenshot of the visualization and the dataset used to render it. AI models can then compare the expected result with the actual output.

This enables AI agents to improve analytics automatically.

From Prompt to Dashboard

With Visiology Analytics, AI can build analytics projects end-to-end.

User Prompt

“Create a sales dashboard by region for 2024”

1
Analyzes the data model
2
Generates metrics
3
Creates dashboard layouts
4
Validates results
5
Deploys dashboards

The entire process happens automatically.

Built for Modern BI Teams

Head of BI

Scale analytics across hundreds of dashboards and teams.

Analytics Engineers

Manage BI projects using Git, CI/CD and developer workflows.

AI-Driven Organizations

Enable autonomous analytics generation.

Why This Matters

Business Intelligence is entering a new era. The next generation of BI platforms must:

  • Be transparent to AI
  • Support programmatic workflows
  • Provide automated validation
  • Integrate with modern development tools

Traditional BI tools were designed for human interaction. Visiology Analytics is designed for AI collaboration.

Build Analytics with AI

Join the waitlist and become one of the first teams building analytics with an AI-First BI platform.

Contact Sales