Omni

What Omni does

Omni is an AI analytics platform that empowers everyone—regardless of technical ability—to easily analyze data using AI, spreadsheets, SQL, or point-and-click interfaces. It is built on a semantic layer that makes sure every insight is accurate and dependable. Beyond powering internal analytics, Omni makes it easy for businesses to offer highly customizable in-product analytics to their customers. The platform aims to provide fast, scalable, and trustworthy analytics by unifying data, defining metrics once, and offering various tools for data exploration and visualization. It supports internal analytics, operational analytics, and embedded analytics, with a strong focus on security and compliance.

Products

• Omni Analytics PlatformAn AI analytics platform that enables data analysis using AI, spreadsheets, SQL, or point-and-click interfaces, built on a semantic layer for accurate and dependable insights. It supports internal analytics, operational analytics, and embedded analytics.
• Omni CLIA command-line interface to manage Omni instances from the terminal, allowing users to query data, manage models and content, administer users and permissions, and automate workflows.
• MCP ServerA server that allows access to Omni's semantic layer from any AI platform and enables white-labeling Omni in products.

Key capabilities

• AI analytics
• Semantic layer for data governance and accuracy
• Conversational AI for data querying
• Spreadsheet-like interface for data exploration and modeling
• SQL IDE with intelligent autocomplete
• Point-and-click interface for non-technical users
• Dashboards with custom visualizations, drill-downs, and filters
• White-labeling and embedding capabilities (SSO embedding, APIs, MCP server)
• Automated data modeling
• Intelligent cache for instant query results
• Bi-directional dbt integration
• Branch Mode for lightweight version control and testing changes
• Row- and column-level permissions
• Content controls and user attributes
• SSO authentication
• SOC 2 Type II audits
• GDPR, CCPA, HIPAA compliance
• AES-256 encryption for data at rest
• TLS encryption for data in transit
• Centralized authentication and provisioning with 2FA
• Continuous monitoring and penetration testing
• API suite for managing Omni instance
• Agentic workflows for building models and running queries
• Automated metric change diagnosis and AI-written summaries

Use cases

• Internal analytics and reporting
• Operationalizing data into workflows
• Providing in-product analytics to customers
• Self-service data analysis for business teams
• Accelerating AI & analytics journey for data teams
• Implementing AI analytics for product teams
• Unifying audience journey and measurement strategy for media teams
• Joining messy media data (ad logs, platform spend, audience data, conversions)
• Defining and reusing key metrics (e.g., ROAS, pacing, revenue)
• Embedding governed dashboards into media platforms or advertiser portals
• Building a data foundation for AI with structured context
• Increasing data access and improving self-service
• De-risking financial decisions with secure, governed AI
• Creating a unified model for financial metrics (e.g., AUM, delinquency, approval rate)
• Providing real-time visibility into spend, ROAS, and campaign performance for brands
• Unifying SaaS metrics across product, GTM, and finance
• Creating a 360 customer view to drive engagement
• Building a true customer 360 across stores and digital for retail
• Unifying retail data (POS, eCommerce, inventory, CRM, promotions, returns)
• Defining and reusing retail metrics (e.g., gross margin, sell-through, inventory turnover)
• Embedding governed dashboards into retailer or marketplace experiences
• Managing Omni instances from the terminal
• Automating workflows with scripts or CI/CD pipelines
• Generating AI-powered queries from natural language
• Uploading CSV and Excel files

AI approach

Omni is an AI analytics platform that uses a semantic layer to provide accurate and dependable insights. It allows users to analyze data using AI chat, spreadsheets, SQL, or point-and-click interfaces. The platform's AI is grounded in the semantic layer, business logic, metric definitions, and role-based permissions, ensuring context and reliability. It also features built-in agents for model building and content management, and offers agent behaviors that can be invoked in the chat interface. Omni's AI can be white-labeled and embedded into other products.

Tech named: semantic layer, AI analytics, Agentic workflows, Conversational AI, AI chat, AI-written summaries, AI context, agents, MCP server, Claude connector, ChatGPT app, Claude Code, Cursor, Codex

Industries served

• Media & Advertising
• Financial Services
• Retail & Consumer Brands
• SaaS

What it says sets it apart

• Semantic layer ensures AI understands business context and provides trustworthy, governed results.
• Combines familiar analytics tools (AI, spreadsheets, SQL, point-and-click) in one platform.
• Enables shipping AI analytics in weeks, not months, by leveraging existing semantic models.
• Offers fast and scalable analytics with modern architecture and intelligent caching.
• Provides comprehensive security and compliance (SOC 2, GDPR, CCPA, HIPAA) without enterprise price tags.
• Bi-directional dbt integration streamlines analytics engineering workflows.
• Hands-on expert support and real-time responses from a knowledgeable team.
• Branch Mode provides lightweight version control for models and content.
• Ability to embed fully customizable, AI-powered analytics directly into client portals with strict tenant isolation and row-level security.

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.