Omilia Brings In $67M for Conversational AI That Handles Voice, Chat, and Fraud Prevention

Omilia, which builds a customer support platform powered by self-learning conversational AI that handles voice, chat, and authentication interactions for enterprises, has secured $67 million in new funding. The round, announced on August 6, 2026, did not disclose lead investors or a specific round designation, and the company has not publicly released a statement detailing the infusion.

The company’s platform is designed to automate customer service across voice and digital channels with a suite of agents covering customer service automation, voice biometrics authentication, multi-layered anti-fraud tools under the TalkGuard name, and real-time agent assistance through CSR CoPilot. It also extends into automated quality management with Workforce AI and industry-specific offerings such as Drive-Thru Voice AI for quick-service restaurants. The platform integrates with contact center systems and is used across financial services, insurance, utilities, retail, automotive, travel and hospitality, healthcare, government, and quick-service restaurants.

Omilia counts large enterprises among its publicly listed customers, including Taco Bell, Discover, Aon, Allstate, and Nissan. In a published case study, Nissan is credited with moving from a legacy IVR to Omilia’s conversational AI to improve self-service, data visibility, and customer satisfaction scores. The company was recently named a Leader in the IDC MarketScape: 2025 Worldwide General Purpose Conversational Artificial Intelligence Software and a Visionary in the 2026 Gartner Magic Quadrant for Conversational AI Platforms.

The $67 million capital will be used to expand Omilia’s platform capabilities and deepen its presence in core verticals. The company’s product roadmap has recently added Lexis, a proprietary voice engine that it describes as the only native voice in enterprise customer experience. The funding is expected to fuel further development of such self-learning, agentic features that allow the platform to adapt from real customer interactions without manual retraining.

The customer support platform market remains crowded with established player and newer entrants competing on voice quality, scalability, and depth of industry-tailored automation. Omilia’s combination of voice biometrics, fraud prevention, and vertical-specific agents positions it as an end-to-end provider, and this latest funding gives it additional runway to compete for large-scale enterprise deployments where security and multi-channel automation are requirements.