Omni
Omni Analytics sells a unified AI analytics platform built on a governed semantic layer, serving enterprise data, business, and product teams with BI, embedded analytics, spreadsheets, and AI agents. Its 200+ customers include BambooHR, Condé Nast, Synthesia, Perplexity, Mercury, and Guitar Center.
- Company typePrivate
- Founded2022
- HeadquartersSan Francisco, United States
- Headcount101–250
- GTM typeB2B
- OfferingSoftware
What Omni does
Omni Analytics, Inc. is a San Francisco-based software company founded in 2022 by former Google/Looker executives Colin Zima, Jamie Davidson, and Chris Merrick. It sells a unified AI analytics platform that combines a built-in semantic layer, business intelligence, embedded analytics, spreadsheets, a SQL IDE, point-and-click exploration, and a family of AI agents into a single product. The semantic layer — which centralizes metric definitions, joins, permissions, and AI context — sits beneath every surface, including dashboards, workbooks, Blobby (Omni's AI assistant), the Modeling Agent, Agent Skills, the Dashboard Builder, and embedded analytics deployments inside customer products. The platform connects natively to Snowflake, Databricks, Google BigQuery, Amazon Redshift, Postgres, Clickhouse, MotherDuck, MySQL, Microsoft SQL Server, and Trino, and integrates bi-directionally with dbt.
The company pursues a hybrid go-to-market: an enterprise field-sales motion anchored by "Request Demo" and "Schedule a 1:1 Demo" CTAs, a product-led self-serve Free Trial entry point on omni.co, channel co-sell with Snowflake and Databricks (both strategic investors), and an OEM/embedded motion in which Omni is white-labeled inside customer products (BambooHR Elite, Ordermentum, ActiveProspect, Aviatrix, Uscreen, Workramp). Pricing is quote-based and not publicly disclosed; tiered packaging (e.g., BambooHR Core / Pro / Elite on Omni) suggests seat- or end-user-based subscription pricing negotiated per customer. A significant share of revenue therefore scales with embedded end-user counts rather than Omni's direct sales headcount. The company operated offices in San Francisco, Dublin, and Sydney, served over 200 customers at the Series B, and reached profitability in early 2026.
Omni's capital base totals approximately $206.5 million across a Series A-like 2022 SEC offering of $17.5 million, a $69 million Series B led by ICONIQ Growth in March 2025, and a $120 million Series C led by ICONIQ in April 2026 at a $1.5 billion post-money valuation that included a $30 million employee tender offer. Snowflake Ventures and Databricks Ventures participated as strategic investors, and the company acquired embedded-analytics peer Explo in October 2025 to deepen its OEM capabilities.
Omni firmographics
Firmographics- Name
- Omni
- Legal name
- Omni Analytics, Inc.
- Website
- https://omni.co
- Company type
- Private
- Founded year
- 2022
- Operating status
- Operating
- Headcount range
- 101–250 employees
- Short description
- Omni Analytics sells a unified AI analytics platform built on a governed semantic layer, serving enterprise data, business, and product teams with BI, embedded analytics, spreadsheets, and AI agents. Its 200+ customers include BambooHR, Condé Nast, Synthesia, Perplexity, Mercury, and Guitar Center.
- Ownership category
- akta.pro rank
Omni industry classification
Industry- Product category
- Business Intelligence Software
- NAICS
- Software Publishers (5132)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Programming Services (7371)
- akta.pro primary industry
- Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs) (HDAEANAH)
- akta.pro secondary industries
- Model Serving, Inference & Deployment Platforms (APIs, Edge/On-Prem) (HDAEANAC), Enterprise Search, Indexing & Content Discovery (HDAEAGAH), Columnar / Analytical Databases (OLAP) (HDAEAAAG)
Keywords
Where Omni is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Markets served
Omni business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Operations, Infrastructure
Revenue model
- Subscription (SaaS): Primary B2B SaaS revenue stream — customers subscribe to Omni's BI and embedded analytics platform; pricing is quote-based / not publicly disclosed. Customers referenced include BambooHR, Synthesia, Guitar Center, Heidi, Perplexity, Mercury, and others.
- Embedded Analytics Licensing: Omni is white-labeled inside customer products (e.g., BambooHR's Elite tier, ActiveProspect, Uscreen, Aviatrix, Workramp), supporting tiered and per-customer pricing driven by end-user counts and customization requirements (BambooHR scaled to 100K+ end users).
- Employee Tender Offer / Secondary Liquidity: The Series C round included a $30M employee tender offer, providing liquidity to employees; this is a one-time liquidity mechanism layered onto the primary capital raise rather than an operating revenue stream.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Pay-as-you-go | Free Trial — self-serve entry point offered on the homepage before a sales conversation |
| Subscription | Annual | Enterprise / Quote-based — annual subscription negotiated per customer |
Go-to-market motion4 records
Omni product offering
Product offeringCore offering
Omni sells a unified AI analytics platform, Omni, that combines a built-in semantic layer, business intelligence (BI) dashboards, embedded analytics, spreadsheets, a SQL IDE, point-and-click exploration, workbooks, and AI-powered agents into one product sitting on top of customer data warehouses such as Snowflake, Databricks, Google BigQuery, and Amazon Redshift. The platform's semantic layer governs metrics, dimensions, joins, permissions, and AI context, enabling Blobby and other agents to generate trusted, governed "semantic queries" rather than raw SQL for BI dashboards and AI-driven chat, while an embedded analytics offering allows product teams to white-label Omni inside their own applications via SSO, APIs, and an MCP server.
Product overview
Omni is a unified AI analytics platform that combines a built-in semantic layer, business intelligence (BI), embedded analytics, spreadsheets, a SQL IDE, point-and-click exploration, and AI-powered agents into a single product. The core platform (Omni) is extended by a family of AI products and modules: Blobby (the AI agent/assistant), the Modeling Agent (for semantic-model building), Agent Skills (for repeatable governed workflows), the Dashboard Builder (AI-assisted dashboard creation), AI Hub (AI observability and evaluation), the Omni Slack Agent, and the Snowflake Cortex Code (CoCo) Skills bundle. Supporting components include the Omni CLI, the Omni MCP Server (for connecting external AI tools like Claude, ChatGPT, and Cursor), Workbooks, Dashboards, Spreadsheets, the SQL IDE, point-and-click exploration, Topics (curated datasets within the semantic layer), the semantic layer itself, and an embedded analytics offering. Explo, an embedded analytics company acquired in October 2025, is being integrated into the platform. The semantic layer and Topics form the governance foundation that powers both BI and AI capabilities, ensuring consistent, trusted answers across every user and surface.
Differentiator
Problem solved
Functional benefit
Brands
- Blobby: Omni's named AI agent/assistant that powers chat, dashboard generation, modeling, and other AI-driven workflows within the Omni platform.
Products and services
- Omni Analytics Platform Omni's flagship unified AI analytics platform that combines a built-in semantic layer, business intelligence (BI), embedded analytics, spreadsheets, dashboards, workbooks, a SQL IDE, point-and-click exploration, and AI-powered agents into a single product that turns a customer's data warehouse into a source of truth for AI. Sold to enterprise data teams and product organizations, with quote-based subscription pricing.
- Embedded Analytics White-label embedded analytics offering that lets customers ship AI analytics inside their own product with SSO embedding, APIs, the MCP server, custom branding, field-level security, and per-customer customizations via the model extension API. Sold to SaaS and product teams as a tiered offering (e.g., BambooHR Core / Pro / Elite), with deployments scaling to 100,000+ end users.
- Semantic Layer Omni's built-in semantic layer defines metrics, dimensions, joins, business logic, permissions, and AI context in one place; it serves as the foundation for both BI dashboards and AI agents, ensuring consistent, trustworthy answers across users with row-level security enforcement. Sold as part of the Omni platform, with reverse-sync to Snowflake Semantic Views and Databricks Metric Views.
- Modeling Agent AI agent that lives in the semantic layer and helps data teams write and maintain it by defining views, joins, dimensions, and measures from a database schema, refining them into Topics, catching validation issues, and applying changes in Sandbox, Review, or Auto mode, with IDE plugins for Cursor, Claude Code, and Codex. Generally available to Omni customers as a distinct product capability.
- AI Hub AI command center for data teams that provides observability (Overview, Quality, Usage dashboards), Improve (Suggestions that turn usage into semantic-model edits), and Validate (AI Evals that compare prompt-set runs across model branches) in one place. Available to Omni admins in the main navigation.
- Agent Skills Framework for packaging repeatable data workflows as governed agents on the semantic layer, with each Skill having a label, optional input prompt, and description; composes governed queries, external tool calls (Slack, GitHub, Google Drive, etc.), and artifact outputs. Generally available within the Omni platform.
- Dashboard Builder AI capability within Blobby that builds governed dashboards from a prompt, an existing chat, or an uploaded dashboard image, planning tiles, picking chart types, applying filters, and laying out the grid; produces a draft reviewable in Omni's standard dashboard editor before publish. Generally available to existing Omni users.
- Explo (acquired embedded analytics product) Embedded analytics product acquired by Omni in October 2025 to expand customer-facing analytics capabilities for product teams; Explo's product continues to operate during the transition as it is integrated more deeply into Omni's offerings, supporting complex analytics use cases and global presence.
Companies that use Omni
Customer profileIdeal customer profiles3 records
Omni technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration23 records
AI capability12 records
Feature10 records
Omni partnerships and signals
Strategic signalRecent moves6 records
Expansion highlights6 records
Omni competitors and assessment
Company assessmentDirect peers
- Mode Analytics: Mode combines SQL notebooks, BI dashboards, and collaboration on top of cloud warehouses, targeting the same data team buyer as Omni and recently layering on AI features.
- Logi Analytics: Logi Analytics is an established embedded analytics and BI platform focused on customer-facing analytics inside SaaS products — directly comparable to Omni's embedded line and to the recently acquired Explo business.
- Sigma Computing: Sigma is a direct peer offering a cloud-native BI and spreadsheet platform that sits directly on top of data warehouses (Snowflake, Databricks, BigQuery), with a focus on governed metrics and self-service exploration — the same core thesis as Omni.
- Hex: Hex is an AI-native data workspace combining notebooks, app-building, and BI on top of cloud warehouses, with Magic AI for code and analysis — directly competing with Omni's AI and workbook positioning.
- ThoughtSpot: ThoughtSpot is an AI-driven analytics platform with natural-language search, Spotter AI agent, and embedded offerings, competing head-to-head with Omni in AI analytics and embedded BI.
Broad incumbents
- Snowflake Cortex Analyst: Snowflake Cortex Analyst is a native text-to-SQL AI analyst inside the Snowflake AI Data Cloud. It is a key co-sell partner and investor in Omni but also a native alternative that competes for the same Snowflake workloads.
- Looker (Google Cloud): Looker pioneered the semantic-layer BI model that Omni's founders created, and is now part of Google Cloud's broader AI/data portfolio. It competes broadly in the same category with the advantage of native Google distribution.
- Databricks Genie: Databricks Genie is a native AI-analytics surface inside the Databricks Lakehouse Platform. It is a strategic channel partner and investor in Omni but also a direct substitute for Omni's AI analytics inside Databricks accounts.
- Domo: Domo is a long-running cloud BI and data app platform with embedded, AI, and dashboarding capabilities. It is a broad incumbent that competes with Omni for mid-market and enterprise BI budgets.
- Tableau (Salesforce): Tableau is the established enterprise BI incumbent under Salesforce, now adding Einstein AI and semantic capabilities. It is a broad incumbent whose installed base Omni must displace to win enterprise deals.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks7 records
Key highlights7 records
Customer concentration
Omni social profiles
Digital presenceOmni financial estimates
Financial estimateRevenue estimate
Valuation estimate
Omni leadership team
Management profileNumber of profiles
Profiles6 records
Omni subsidiaries and ownership
Company hierarchySubsidiaries1 record
Omni funding detail
Funding detailFunding overview
Funding rounds5 records
Investors10 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Omni M&A and investment
M&A and investmentM&A1 record
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Omni
What does Omni do?
Omni sells a unified AI analytics platform, Omni, that combines a built-in semantic layer, business intelligence (BI) dashboards, embedded analytics, spreadsheets, a SQL IDE, point-and-click exploration, workbooks, and AI-powered agents into one product sitting on top of customer data warehouses such as Snowflake, Databricks, Google BigQuery, and Amazon Redshift. The platform's semantic layer governs metrics, dimensions, joins, permissions, and AI context, enabling Blobby and other agents to generate trusted, governed "semantic queries" rather than raw SQL for BI dashboards and AI-driven chat, while an embedded analytics offering allows product teams to white-label Omni inside their own applications via SSO, APIs, and an MCP server.
Is Omni a public or private company?
Omni is a private company. It is classified as venture growth investor backed and is currently operating.
When was Omni founded?
Omni was founded in 2022. It employs 101 to 250 people.
Where is Omni based?
Omni is headquartered in San Francisco, United States, in the North America region.
How does Omni make money?
Three revenue lines are on record. Subscription (SaaS) is the primary driver. The others are embedded Analytics Licensing and employee Tender Offer / Secondary Liquidity.
Who are Omni's main competitors?
Direct peers on record are Mode Analytics, Logi Analytics, Sigma Computing, Hex and ThoughtSpot. Broad incumbents are Snowflake Cortex Analyst, Looker (Google Cloud), Databricks Genie, Domo and Tableau (Salesforce).
Does Omni have an API?
Yes. Omni exposes a REST API and suite of APIs that enable developers and partners to programmatically manage an Omni instance, run queries, build and edit semantic models, configure AI context and sample queries, generate dashboards and visualizations, manage users, permissions, schedules, and schema refreshes, generate signed embed URLs and configure themes, and trigger AI generation endpoints. CLI tooling (Omni CLI) is available to invoke APIs from the terminal, and the API powers Omni's MCP server, embed skill, and AI agent workflows. Developer documentation is at docs.omni.co/api.
What industry is Omni in?
Omni's product category is Business Intelligence Software. Its primary akta.pro industry code is HDAEANAH, Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs), with a secondary code of HDAEANAC, Model Serving, Inference & Deployment Platforms (APIs, Edge/On-Prem). Its NAICS code is 5132 and its SIC code is 7372.