What Is Omilia? Voice AI Pricing, Funding and Alternatives (2026)

Omilia is an enterprise voice AI company whose Omilia Cloud Platform (OCP) runs its own speech recognition, dialog manager and Lexis text-to-speech engine, sold on outcome-based pricing per resolved interaction with no published rate card. It raised a $67 million Series B on August 6, 2026, led by Expedition Growth Capital, and says its annual recurring revenue has passed $60 million.

We build AI agents for customer service that sit inside a help desk's ticket queue, worlds away from a phone network, so this guide reads Omilia as a specialist in a category we don't compete in.

What is Omilia?

Omilia operates from Athens, Greece, and New York, and builds what it calls the Omilia Cloud Platform (OCP) for enterprise conversational AI. Its Series B announcement, datelined August 6, 2026, says the $67 million round was led by Expedition Growth Capital, that annual recurring revenue had passed $60 million, and that ARR had grown more than 10x since its Series A. That's a strong capital-efficiency story for a company building its own speech models from the ground up.

Omilia says it runs some of the largest agentic voice deployments in production, including a Tier 1 US bank handling over 1 million calls a day and a real-time agent-assist program for a multinational US insurer handling over 600,000 calls a day. These figures are vendor-reported, so read them as a scale claim, not an audit. Its company page names Capital One, Taco Bell, Discover and DWP as customers and claims 1 billion+ conversations in 30 languages, and it publishes a Nissan customer presentation. The mix is finance, insurance, government and quick-service restaurants: industries where a dropped or mishandled call has a real cost.

How does Omilia's AI work?

Omilia's core pitch is architectural: its speech pipeline is fully native, with proprietary ASR (speech recognition), a proprietary dialog manager and its own Lexis text-to-speech engine, and no third-party speech-to-text or text-to-speech API anywhere in the chain. That matters for two concrete reasons. First, latency: chaining several third-party APIs adds round-trip time that a single vertically integrated stack doesn't carry. Second, data residency: utterance audio never leaves Omilia's certified environment, which the company positions as a requirement of PCI Level 1 and FedRAMP in regulated industries.

Task Agents are Omilia's term for the autonomous side of the platform: agents that resolve complex, multi-step requests end to end, including handling intent shifts and tool failures in real time without a human stepping in. The company also argues that smaller, task-specific models beat general-purpose frontier LLMs on voice tasks at a fraction of the inference cost, a claim that fits the broader pattern of narrow, fine-tuned models outperforming large general models on bounded tasks.

What does the Omilia platform include?

• Voice Agents: natural-language phone automation the company says completes over 90% of service tasks without escalation.
• Chat Agents: the same conversational engine applied to digital messaging channels.
• TalkGuard: anti-fraud protection and voice biometrics authentication built into the call flow.
• CSR CoPilot: real-time assistance for human agents handling calls the AI hands off.
• Workforce AI: automated quality management and call analysis across the contact center.
• Drive-Thru Voice AI: a purpose-built product for quick-service restaurant ordering.
• Self-learning engine: offline learning that discovers new resolution patterns from live interaction data instead of requiring constant manual rule updates.

How much does Omilia cost?

Omilia doesn't publish a rate card, and we found no independent contract-value data (Vendr, AWS Marketplace or similar) for the company, unlike several of its more heavily benchmarked peers. What Omilia's own site does state clearly is the pricing mechanism: one price per resolved interaction, regardless of how many agentic steps it took to get there. The company frames this against token-metered billing, positioning "zero token cost pass-through" as removing the risk of a compute overage when a call takes an unexpectedly long reasoning path.

That mechanism is worth naming for what it rewards. A vendor billing by the token or by compute time earns more when a model takes longer or loops more to reach an answer, an incentive that quietly punishes efficiency. Omilia's per-resolved-interaction model instead ties revenue to the outcome a customer wanted, so a call resolved in three reasoning steps costs the buyer the same as one resolved in fifteen. The trade-off is that "resolved" is Omilia's definition to negotiate at contract time, and with no public number or third-party benchmark, a buyer has to get that definition and the resulting price in writing before assuming the incentive works in their favor.

What do users and analysts say about Omilia?

The honest answer on user reviews is that we couldn't check them firsthand. Omilia's own announcement of Gartner's 2024 Peer Insights Voice of the Customer report for Enterprise Conversational AI Platforms says it was the only vendor named a Customers' Choice, with a 4.7 out of 5 rating from 31 verified reviewers and 97% willing to recommend. The live Gartner, G2, TrustRadius and Capterra pages all blocked our access, so we could not confirm the current rating, review count or any individually attributed reviewer quote. Treat the 4.7/5 figure as Omilia's 2024 report of it.

On the analyst side, Omilia was named a Leader in The Forrester Wave: Conversational AI Platforms for Customer Service, Q2 2026, and a Visionary in the 2026 Gartner Magic Quadrant for Conversational AI Platforms. Both reflect analyst evaluation more than user sentiment.

What are Omilia's pros and cons?

Pros

• Fully native speech stack removes third-party API dependencies from the latency and compliance path.
• Outcome-based pricing aligns cost with resolved interactions instead of compute consumed.
• Capital-efficient growth (10x ARR since Series A, $60M+ ARR) suggests real enterprise traction behind the funding headline.
• Deep regulated-industry credentials: PCI DSS Level 1, FedRAMP-ready deployment, SOC 2 Type II, ISO 27001, and built-in fraud and biometrics via TalkGuard.

Cons

• No public pricing and no third-party contract-value data, which makes early budgeting difficult.
• Independent, individually attributed review quotes couldn't be verified for this guide; treat aggregate ratings as vendor-reported.
• Performance figures on Omilia's enterprise page (97% intent accuracy, sub-1-second latency, 90%+ task completion) are vendor-reported comparisons against industry averages, not independent benchmarks.
• Built for voice-first, high-volume enterprise contact centers; overkill for a team whose support problem lives in email and chat tickets.

Who is Omilia best for?

Omilia suits a large, regulated enterprise (a bank, insurer, or national retail or restaurant chain) with high call volumes and a compliance function that cares about where voice data physically goes. If your contact center already handles millions of calls a month and a dropped or mishandled one carries financial or regulatory risk, Omilia's architecture argument is a serious one to evaluate.

It's a poor match for a team without that call volume or that compliance burden, and it has nothing to offer a support team whose bottleneck is a Zendesk or Freshdesk ticket queue instead of a phone line.

How does Omilia compare with Parloa and Macha?

See our Parloa guide for the deeper look at that comparison. Omilia and Parloa solve the same enterprise voice problem for a similar buyer; the real difference between them is architectural, a native stack versus an assembled one, more than which one is more "AI." Macha isn't a candidate for either use case: it has nothing to say about a ringing phone. If a support team's bottleneck is its ticket queue, Macha is a faster and far cheaper place to start. It's done for you: the Macha team analyzes your past tickets, builds the knowledge base and the agent, and runs it in safe mode until the drafts are right, at about $0.40 a ticket, which includes setup and a dedicated success manager who handles your changes. See pricing for the current numbers.

The other enterprise platform most often shortlisted against Omilia for voice-led automation is Cognigy, which publishes far more about how its agents are built and integrated.

How we researched this: we checked Omilia's homepage, company page, Enterprise Voice AI page and Voice Agents page directly on 2026-09-17 and again on 2026-09-24. Funding, ARR and analyst recognition came from Omilia's own newsroom announcement. No independent pricing benchmark exists for this vendor; its outcome-based model is stated on its own site but not attached to a number. Review-site access was blocked across the board, so the Gartner Peer Insights figure is Omilia's own 2024 report of it.

FAQ

What is Omilia? Omilia is an enterprise voice AI company that builds a fully proprietary speech stack (ASR, NLU and TTS) for large, regulated contact centers in banking, insurance, government and quick-service restaurants.

How much does Omilia cost? Omilia doesn't publish pricing. It charges one price per resolved interaction regardless of how many reasoning steps an agent takes, with no separate token or compute charge, and the actual rate is negotiated per enterprise contract.

Is Omilia's technology different from platforms built on third-party APIs? Yes, by its own account. Omilia builds its ASR, dialog management and TTS (branded Lexis) natively rather than assembling them from third-party vendors, which it argues lowers latency and keeps utterance data inside a certified compliance perimeter.

How big is Omilia? The company reported annual recurring revenue past $60 million and more than 10x ARR growth since its Series A as of its $67 million Series B in August 2026, alongside deployments handling over 1 million calls a day for a Tier 1 US bank.

Is Omilia good, based on reviews? Omilia says Gartner's 2024 Peer Insights report gave it 4.7 out of 5 from 31 verified reviewers, with Customers' Choice status. We could not check the live Gartner page or pull an attributed reviewer quote, since Gartner, G2, TrustRadius and Capterra all blocked automated access.

What are good Omilia alternatives? Parloa is the closest direct comparison for enterprise voice AI, and Cognigy is often on the same shortlist. For a support team whose bottleneck is email and chat ticket volume rather than phone calls, Macha is a different kind of tool built for that job.

Does Omilia work outside of voice? Yes, Chat Agents apply the same conversational engine to digital messaging channels, though voice remains the company's main focus.

Omilia is a serious option for a regulated enterprise with real call volume to automate. If your bottleneck is the ticket queue in Zendesk or Freshdesk, start a Macha trial or check /pricing.

Sources: Omilia homepage, Omilia, Company, Omilia, Enterprise Voice AI, Omilia, Voice Agents, Omilia newsroom, $67M Series B announcement, Omilia newsroom, 2024 Gartner Peer Insights report, Parloa homepage, Macha's Parloa guide.