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Omilia Secures $67M Series B to Accelerate Global Expansion of Agentic CX Platform

Omilia has raised a $67 million Series B round led by Expedition Growth Capital. The company has grown its annual recurring revenue more than 10x since its Series A, surpassing $60 million. The funding will support expansion in North America and globally, including the opening of its first US office in the second half of 2026.

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Omilia Secures $67M Series B: Scaling Its Self-Learning Agentic CX Platform

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Omilia announced a $67 million Series B funding round led by Expedition Growth Capital, with annual recurring revenue surpassing $60 million—more than 10x growth since its Series A. The funding will accelerate North American and global expansion, with plans to open its first U.S. office in the second half of 2026.

  • Omilia completed a $67 million Series B funding round, led by Expedition Growth Capital.
  • Since its Series A, the company's annual recurring revenue has grown more than 10x to over $60 million, without additional equity financing during that period.
  • The platform serves several large enterprises, including Capital One, Discover, RBC, and Taco Bell, and supports a top-tier U.S. bank handling over 1 million calls daily.
  • In July 2026, Omilia expanded its partnership with Taco Bell, with its voice AI now deployed across more than 1,000 drive-thrus in 38 U.S. states.
  • The company launched Lexis, a generative text-to-speech model designed specifically for enterprise contact centers.
  • The funding will be used for North American and global expansion, including opening its first U.S. office in the second half of 2026.
Open section navigationFunding Overview and Growth Trajectory

Funding Overview and Growth Trajectory

On August 19, 2026, Omilia announced the completion of a $67 million Series B funding round, led by Expedition Growth Capital, a transatlantic investment firm specializing in software and AI. Since its Series A, the company's annual recurring revenue (ARR) has grown more than 10x to over $60 million, without additional equity financing during that period. This growth is largely attributed to the launch of its Agentic Self-Learning CX platform, which significantly reduces the time to deploy production-ready AI agents and features a transparent pricing model with zero token cost pass-through, enabling enterprise customers to calculate ROI precisely from day one.

Omilia's CEO, Dimitris Vassos, stated that the company has been growing strongly for years, particularly in the U.S. market, and this funding round will accelerate the adoption of its self-learning CX agents. Oliver Thomas, Founder and Managing Partner at Expedition Growth Capital, emphasized that Omilia's self-learning Agentic CX brings significant changes in call deflection and operational improvements, and its glass-box auditability and cost predictability are structurally difficult for other vendors to replicate.

Technical Strength and Customer Scale

Omilia's platform is designed for large enterprises, especially in regulated industries such as banking, insurance, and healthcare, supporting security and compliance standards like FedRAMP, PCI-DSS, SOC 2, HIPAA, and GDPR. With over 200 enterprise deployments, its voice-first AI platform is built entirely on its own proprietary Agentic Voice AI technology.

Omilia operates some of the largest agentic voice deployments currently in production, including a top-tier U.S. bank handling over 1 million calls daily and a real-time agent-assist program for a multinational U.S. insurance company processing over 600,000 calls daily. The company claims that by owning its core stack rather than orchestrating third-party components, it can handle over 50,000 concurrent voice interactions for a single customer while maintaining sub-second latency and predictable costs.

Recent Developments and Market Recognition

In July 2026, Omilia announced an expanded strategic agreement with Taco Bell, with its voice AI deployed across more than 1,000 drive-thrus in 38 U.S. states, improving order times, accuracy, and employee retention. Additionally, the company launched Lexis, a generative text-to-speech (TTS) model designed specifically for enterprise contact centers and natively integrated into the Omilia platform.

Omilia was recognized as a Leader in The Forrester Wave™: Conversational AI Platforms for Customer Service, Q2 2026, and was named a Visionary in the Gartner® Magic Quadrant™ for Conversational AI Platforms. The company also appointed several senior executives, including Chief Revenue Officer Nick Delis, Chief Marketing Officer Ryan Kam, Executive Vice President for Latin America and Iberia Armando Trivellato, and Vice President of Revenue Operations Dave Ogden, who previously worked together at Five9, driving ARR from $100 million to over $1 billion.

Use of Funds and Future Plans

This funding round will support Omilia's continued growth acceleration in North America and globally, including opening its first U.S. office in the second half of 2026. The company plans to use the funds to expand its global commercial organization and further promote its self-learning CX agent capabilities.

Omilia's customers include Capital One, Discover, RBC, Taco Bell, DWP, and PSEG. The company emphasizes that its cost predictability stems from technology rather than pricing strategy, as Omilia runs its own specialized models instead of being a thin client on top of frontier LLMs, so costs do not scale with others' tokens.

Credibility boundary

This report is based on Omilia's official press release, as published by The AI Insider. All financial data, customer cases, and product claims are sourced from the press release and have not been independently verified. Some figures (such as ARR growth and call volumes) are Omilia's unilateral claims and should be treated as source statements rather than confirmed facts.

Insight takeaway

Omilia's $67 million Series B funding round highlights the appeal of its self-learning Agentic CX platform among large enterprises, particularly in regulated industries. Its significant revenue growth and customer scale suggest that AI vendors with a vertical focus and proprietary technology can still attract capital in a competitive market.

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