Omni AI Analytics Platform

Omni is the AI analytics platform rethinking how organizations interact with data in the age of AI. By combining a strong semantic foundation with flexible interfaces and deeply integrated AI, Omni addresses the core challenges that have limited analytics adoption and impact. It enables faster, more accurate decision-making; broader data access across teams; reduced burden on data specialists; and new opportunities for customer-facing analytics and AI products. AI is not a standalone feature but deeply integrated into analytics development and data access, allowing organizations to move beyond dashboards and truly operationalise insights. Here are Omni's key capabilities:

1. Instantaneous Data Insights

A major challenge in analytics is the delay between asking a question and getting an answer from the data team. Omni addresses this by:

- Enabling natural language queries

- Providing instant visualizations

- Automating query generation

Customers report up to 80% faster diagnosis when investigating changes, dramatically reducing the time it takes to understand what's happening in their business.

2. Increased Data Adoption

Traditional BI tools often remain confined to analysts. Omni expands access to executives, product managers, sales, revops, operations, and even frontline workers — driving up to 5× growth in data adoption for customers like Caraway. This democratization of instant answers is critical for organizations that want to become truly data-driven.

3. Improved Productivity for Data Teams

Data teams are often overwhelmed by repetitive requests: "What changed in this metric?" "Can you build a dashboard?" "Can you export this data?" Omni reduces this burden through self-service analytics and automated workflows. Customers experience:

- Up to 30% gains in data team productivity

- 10%+ engineering time savings

Underlying these outcomes are Omni's core principles and architecture:

1. The Semantic Layer as the Foundation

Omni's semantic model acts as the source of truth for data definitions, metrics, and relationships. Unlike legacy BI tools that treat semantic modeling as an afterthought, Omni places it at the heart of the platform and extends it to tools like dbt and upstream databases to avoid BI lock-in.

Implications:

- Consistency across tools: Whether using AI Agent, spreadsheets, or dashboards, users work from the same definitions.

- Governance and security: Access and transformations are centrally managed, reducing inconsistencies and errors.

- AI readiness: The semantic layer provides structured, interpretable context for accurate AI responses, and lets business users contribute to context democratically.

This is a key differentiator: organizations are not just adopting a BI tool, they are "primed to leap forward into AI because the semantic model is at the heart of the platform."

2. Tools for All Users: Meeting Users Where They Are

Different users interact with data differently. Instead of forcing one interface, Omni supports multiple modes:

- Omni AI Agent: Natural language queries for fast insights

- Spreadsheets: Familiar grid-based exploration for business users

- Point-and-click analysis: No-code builder for non-technical users

- SQL editor: Advanced querying for analysts and engineers

This flexibility is critical for adoption -Omni integrates into existing habits, including querying Omni via an MCP Server in ChatGPT, Claude, or Cursor.

3. AI Embedded Throughout the Workflow

Omni is not a BI tool with an AI chatbot layered on top. AI is embedded across the entire analytics lifecycle:

- Omni Agent for instant answers and visualizations via natural language

- Modeling Agent for data model and metrics development

- Workbook Agent for query generation and refinement

- Dashboard Agent for insight discovery atop dashboards

- AI skills for reusable prompts in Omni Agent

- Embedded AI Agent experiences for end customers

This transforms AI from a novelty into a practical productivity tool that accelerates decision-making.

4. Cloud-Native and Warehouse-First

Omni operates directly on modern cloud data platforms, ensuring:

- Real-time access to fresh data

- Scalability for large datasets

- Alignment with modern infrastructure tools, including Git and dbt

This reduces latency and complexity, letting teams focus on insights rather than infrastructure.