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Omni secures $69 million in Series B funding, reaching a $650 million valuation as it expands its business intelligence platform. By combining SQL, AI, and spreadsheets with a governed semantic layer, the company offers a flexible yet consistent approach to data analysis. This investment supports Omni’s mission to simplify decision-making for businesses while maintaining accuracy, security, and scalability.
Why This Funding Round Matters for Omni and the BI Industry
Omni has secured $69 million in Series B funding, led by ICONIQ Growth, with additional participation from Theory Ventures, First Round Capital, Redpoint Ventures, GV, and Snowflake Ventures. This investment brings the company’s valuation to $650 million.
The funding reflects Omni’s strong year-over-year growth, with an eightfold increase in revenue and customer adoption. The investment comes at a time when businesses are demanding faster, more intuitive, and scalable data analytics solutions. Omni’s approach to business intelligence sets it apart from traditional BI tools, offering a platform that combines SQL, AI, and spreadsheets to meet the needs of different users.
A Data Platform That Solves the Biggest BI Challenges
Many business intelligence tools force companies to compromise between speed, data governance, and accessibility. Traditional platforms often require extensive technical expertise, while newer AI-driven solutions sometimes lack the accuracy and consistency needed for decision-making.
Omni provides a unified solution where data professionals and business users can work within a shared environment. The platform allows users to explore data in multiple ways, including SQL queries, point-and-click interfaces, and AI-assisted insights. By integrating a governed semantic layer, Omni ensures that data remains consistent and reliable across different teams.
How Omni Helps Companies Move Faster Without Sacrificing Accuracy
Omni’s platform is designed to streamline data analysis while maintaining precision. Companies using the tool benefit from:
- Multiple access points – Users can interact with data through SQL, spreadsheets, and AI, allowing them to choose the method that suits them best.
- Governed semantic layer – Ensures consistency by maintaining a structured approach to data modeling.
- Embedded analytics – Businesses can integrate real-time dashboards and customer-facing reports without extensive engineering resources.
- Security and control – Features such as row- and column-level permissions, user attributes, and SSO enable secure data access.
With these capabilities, organizations can create reports, run ad-hoc analyses, and build data products without lengthy development cycles.
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Inside Omni’s Vision: A Team With a Proven Track Record
Omni was founded by industry veterans with experience at companies such as Looker, Google, and Stitch. CEO Colin Zima has led data teams and product strategies, while President Jamie Davidson brings expertise in analytics and enterprise data tools. CTO Chris Merrick has played a key role in open-source projects like Singer and dbt, shaping modern data infrastructure.
The company follows a transparent development approach, frequently sharing product updates and technical improvements. This openness allows customers to see the platform’s progress and provides direct insights into how the tool evolves.
What This Means for Businesses Adopting Modern BI Solutions
Organizations seeking flexible and scalable business intelligence tools are increasingly looking for solutions that bridge the gap between technical and non-technical users. Omni enables companies to:
- Give employees across departments access to trustworthy data without requiring advanced SQL knowledge.
- Reduce dependency on engineering teams for building and maintaining reports.
- Improve decision-making with real-time insights and AI-powered analysis.
- Integrate analytics into customer-facing applications quickly and efficiently.
This approach shifts BI from a siloed function to an integrated part of everyday business operations.
Omni’s Growth Signals a Shift in How Companies Use Data
The increasing complexity of business data requires tools that balance speed, accuracy, and ease of use. Traditional BI solutions often struggle to keep pace with modern data needs, while AI-driven tools can introduce inconsistencies without a strong data foundation.
Omni’s rapid expansion reflects a broader industry trend toward platforms that provide flexibility without sacrificing governance. With new funding, the company is positioned to continue refining its technology, expanding its customer base, and influencing the future of business intelligence.
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