Omni
The AI analytics platform built on a governed semantic layer — so every answer your team and your AI agents get is one you can trust.
Overview
Omni is an enterprise business intelligence and embedded analytics platform founded by veterans of Looker and Stitch. At its core sits a governed semantic layer that acts as a version-controlled rulebook defining metrics, access permissions, and calculation logic across the entire organisation. On top of this foundation Omni layers dashboards, spreadsheet-style workbooks with Excel-compatible formulas, a SQL IDE, natural-language AI chat, and an MCP server that lets external AI tools such as Claude, ChatGPT, and Cursor query governed data without building custom integrations. Every interface — human or agent — draws from the same agreed definitions, so results stay consistent regardless of how a question is asked.
The platform targets data-driven companies that have consolidated onto SQL warehouses such as Snowflake, BigQuery, Databricks, or Redshift and want a single governed analytics layer for both internal teams and customer-facing embedded products. Omni's embedded analytics capability allows SaaS companies to white-label analytics directly into their own products; BambooHR, for example, used Omni to ship an analytics tier to 100,000+ users in under four months. The company raised a $120 million Series C at a $1.5 billion valuation in April 2026 led by ICONIQ, having grown ARR approximately fourfold year-on-year and reached profitability for the first time in early 2026.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 16 Jun 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.
Use cases
What you can produce with Omni
- A governed semantic model defining your organisation's canonical metrics, access rules, and business logic in one version-controlled layer
- AI-powered natural-language analytics that any employee can query, with answers grounded in the same definitions used by SQL analysts
- Embedded analytics dashboards delivered inside your SaaS product with full white-label styling, SSO, and row-level security
- An MCP server endpoint that lets Claude, ChatGPT, Cursor, and other AI clients query your data warehouse without custom integration code
- Bidirectional dbt sync so models built in Omni's UI can be pushed back to your dbt repository as pull requests
- Spreadsheet-style workbooks with live warehouse data and Excel-compatible formula syntax, replacing static exports
- A programmatic REST API giving developers access to core Omni functions including queries, model management, user provisioning, and scheduling
ASEAN Perspective
Omni in Southeast Asia
Omni operates a regional office in Sydney, Australia, and expanded into APAC following its March 2025 Series B, signalling intent rather than deep local penetration. The platform added Japanese-language localisation in 2025, and customer Heidi AI (an Australian health-tech company) demonstrates early APAC traction. However, no confirmed data-residency options or dedicated cloud regions for Southeast Asia had been announced as of June 2026, and ASEAN enterprises in regulated sectors (Singapore MAS, Indonesian OJK) will need to verify compliance posture before committing to a cloud-SaaS vendor without local infrastructure.
Omni is one of the most technically credible entries in modern enterprise BI. Its semantic-layer-first architecture solves a genuinely hard problem — keeping AI agents, SQL analysts, and spreadsheet users aligned on the same metric definitions — and the platform's 4× ARR growth alongside early profitability suggests strong product-market fit among mid-market and enterprise data teams migrating off Looker or consolidating fragmented BI stacks. The MCP server, agentic analytics engine, and bidirectional dbt sync are meaningfully differentiated features that competitors have yet to match as cohesively.
The caveats are real: pricing is entirely opaque and almost certainly six-figures annually for meaningful deployments, making it inaccessible to smaller teams or cash-cautious buyers. The platform is cloud-SaaS only (no on-premises option), supports SQL warehouses exclusively (no NoSQL, no cross-source joins without an upstream ETL step), and its AI layer routes through third-party LLMs (Claude, GPT-4), which can create compliance friction for regulated sectors. APAC buyers will find a Sydney office and Japanese localisation support encouraging, but there is no dedicated regional infrastructure or data-residency option confirmed for Southeast Asia as of mid-2026.
What people say
Omni earns strong practitioner marks: about 60 G2 reviews average 4.8 out of 5 (review counts drift over time), with users citing fast time-to-insight, an accessible AI chat interface, and a semantic layer that keeps metrics consistent across SQL, spreadsheet, and agent workflows. Praise centres on dbt integration and an MCP server that makes governed data queryable from clients like Claude or Cursor. Legitimate criticisms include SQL-warehouse-only support, no cross-source joins without upstream ETL, third-party LLM dependency (a concern for regulated buyers), cloud-only deployment, and opaque enterprise pricing requiring a sales call. Limited public review volume and no self-serve tier make independent cost-benefit assessment difficult.
Summary of public user & expert reviews, compiled by RECATOOLS.
Notable facts
- All three co-founders — Colin Zima, Jamie Davidson, and Chris Merrick — are Princeton University alumni who reunited after their former employer Looker was acquired by Google for $2.6 billion in 2020.
- BambooHR used Omni to launch an embedded analytics tier to 30,000 users in just three months and scaled to 100,000+ users within four months of general availability.
- Omni reached profitability for the first time in March 2026 — the same month it closed its Series C discussions — making it a rare VC-backed SaaS unicorn that achieved profitability before its billion-dollar round.
- The company's MCP server supports seven AI clients simultaneously, including Claude Code, Claude Desktop, ChatGPT, Cursor, Codex, Microsoft Copilot, and VS Code, using OAuth 2.1 for keyless setup.
Frequently asked questions
About this listing
This entry was compiled from publicly available data including Omni's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Omni unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
For the latest details, please refer to Omni directly →
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