Last updated 08-22-2026
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Omni Analytics
Omni Analytics lets data teams, business users, and product teams ask questions in plain language and get answers from cloud warehouses through chat, dashboards, workbooks, or embedded analytics inside their own products. Companies like Perplexity, BuzzFeed, TripAdvisor, and BambooHR use it to cut down ad hoc data requests. A governed semantic layer defines metrics once so every interface shares the same definitions.
The platform treats your semantic model as the source of truth for both traditional BI and AI. Instead of generating raw SQL from prompts, Omni's agentic AI builds semantic queries against defined metrics, joins, and row-level security rules. That same layer powers Dashboard Builder, scheduled Routines, the Slack Agent, and an MCP server that lets Claude, ChatGPT, or Cursor query governed data from outside Omni.
Analysts can work in SQL, point-and-click exploration, or Excel-style spreadsheet formulas on live data without leaving a workbook. Product teams white-label Omni with SSO embedding, APIs, and custom themes to ship customer-facing analytics in weeks. Omni was founded in 2022 by alumni of Looker, Google, Stitch, and Talend.
Chat through business questions with context that carries across follow-ups
Routines run scheduled AI prompts against your governed semantic model
Slack Agent answers @Omni questions in plain language inside threads
MCP server exposes governed metrics to Claude, ChatGPT, and Cursor
Dashboard Builder plans queries, picks charts, and lays out dashboards from a prompt
Semantic layer defines metrics once so AI and BI share the same definitions
Semantic layer keeps AI answers aligned with the same governed metrics used in BI.
Free trial lets teams test Omni with their own data before buying.
Natural language, SQL, spreadsheets, and dashboards live in one workbook experience.
MCP server and APIs let external tools query governed data from your semantic model.
Routines and Slack Agent bring scheduled and in-thread answers to where teams already work.
No public pricing page; plans require a demo or sales conversation.
Omni does not currently offer a built-in way to formally benchmark AI answer accuracy.
AI features send query metadata or result sets to external LLMs when enabled.
How does Omni Analytics' AI work?
Omni Analytics runs AI on top of its semantic layer, which defines metrics, dimensions, joins, and business logic in one shared model. You can ask questions through chat, dashboards, workbooks, or summary visualizations, and the AI reasons through requests using that governed context rather than raw tables alone.
Why is Omni Analytics AI more accurate than other BI tools?
Omni Analytics grounds its AI in the same semantic layer used for dashboards and reporting, so metrics, joins, and business definitions stay consistent. Teams can also add dataset-specific AI instructions and tune context in branch mode before pushing changes live.
Does Omni Analytics use its own LLM?
No. Omni Analytics uses AWS Bedrock-hosted Claude models for most AI tasks and OpenAI models only for advanced AI visualizations. The platform does not operate its own large language model.
What data warehouses does Omni Analytics connect to?
Omni Analytics has native integrations with Snowflake, Databricks, Google BigQuery, Amazon Redshift, Postgres, MySQL, Microsoft SQL Server, ClickHouse, MotherDuck, and Trino. It also offers a bi-directional dbt integration to surface model changes and author dbt models from Omni definitions.
Can I embed Omni Analytics in my own product?
Yes. Omni Analytics offers embedded analytics with SSO embedding, APIs, an MCP server, custom CSS and markdown theming, and role-based access controls. Product teams use it to ship customer-facing reports and natural language querying inside their applications.
Does Omni Analytics publish pricing online?
Omni Analytics does not list plan prices on its website. Prospects can request a demo, start a free trial at omni.co/demo, or schedule a meeting with the sales team to try the platform with their own data.
How does Omni Analytics handle data security for AI features?
Omni Analytics enforces row-level security and permissions from the semantic layer on AI queries the same way it does for standard BI. When AI is enabled, only necessary data goes to external LLMs: query metadata for query generation, or result sets when summarizing query output.