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 These figures reflect RECATOOLS research as of 11 Jul 2026 and may be out of date or incomplete.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.
- Semantic modelling layer plus self-serve dashboards
- Builder and viewer seat types priced separately
- Demo and trial arranged through sales
- Customer-facing embedded reporting
- Scales with end-user and environment count
- Quote via Omni sales
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's pitch holds up under scrutiny: a governed semantic layer that keeps SQL analysts, spreadsheet users, and AI agents working off the same metric definitions is a genuinely hard problem to solve well. The April 2026 Series C — $120M at a $1.5B valuation, more than double the $650M mark from a year earlier — reflects real traction: roughly 4x revenue growth and a first profitable quarter. The MCP server and bidirectional dbt sync are ahead of what Looker, Tableau, or Power BI ship natively.
Where it gets harder: pricing is a black box with no self-serve tier, likely pricing out smaller teams. The platform only speaks to SQL warehouses — no NoSQL, no cross-source joins without upstream ETL — and its AI chat depends on third-party LLM providers, a friction point for regulated industries. APAC coverage is thin: a Sydney office and Japanese localization exist, but no confirmed Southeast Asia data residency as of mid-2026.
What people say
A $120 million Series C in April 2026 pushed Omni to a $1.5 billion valuation — more than double the $650 million mark it hit just over a year earlier — on the back of roughly 4x year-over-year revenue growth and, notably, its first profitable quarter. ICONIQ led the round; Theory Ventures, First Round, Redpoint, and GV all followed their money in.
On G2, around 64 reviews average 4.8 out of 5, with reviewers rating ease of setup ahead of Power BI. The praise clusters around a specific thing: Omni's semantic layer keeps SQL analysts, spreadsheet users, and now AI agents working from the same metric definitions, so a number pulled from a dashboard matches what an LLM returns through the MCP server. BambooHR used that architecture to ship embedded analytics to over 100,000 users in under four months.
The complaints are consistent too — a learning curve on advanced modeling features, thin IntelliSense in the SQL IDE, and documentation that lags new releases. None of that is disqualifying, but it's not a five-minute onboarding either.
The bigger caveat: pricing isn't published anywhere, and at this valuation tier it's safe to assume six figures for anything past a pilot. Omni is also warehouse-only — Snowflake, BigQuery, Databricks, Redshift, Postgres, ClickHouse — with no path for teams on NoSQL or flat files, and its AI chat routes through third-party LLMs, which will bother regulated buyers. The reference customers (Checkr, Cribl, dbt Labs, Mercury, Pendo, Synthesia) skew toward data-mature SaaS companies rather than enterprises just starting a BI migration.
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.
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