Looking for a Decagon Alternative?

The enterprise-ready alternative to Decagon

Parloa is built for enterprises that need AI agents to perform reliably after go-live — across voice, regions, and complex CX environments. Parloa is trusted by global enterprises running AI agents in production today. If AI works in voice, it works everywhere, and that's where Parloa sets the bar.

Comparison

Key differences at a glance: Parloa vs Decagon

Parloa

Voice AI maturity

Voice-first since 2018 with proprietary voice optimization and tuning

Enterprise scale

150+ enterprises live in production

Global readiness

Live in 100+ countries with 140+ languages and regional governance

Platform architecture

Composable, orchestrated platform built for complex CX stacks

Decagon

Voice AI maturity

Voice 2.0 was recently launched; large-scale voice deployments are still being proven

Enterprise scale

Expanding into enterprise, many deployments are still early-stage

Global readiness

Recently expanded outside the US; global certifications and language depth are still developing

Platform architecture

Good developer experience; enterprise orchestration depth varies by use case

See how Parloa works in your environment

Why Parloa

Why enterprises choose Parloa over Decagon

Built for production, not just pilots

Many AI platforms perform well in controlled tests but struggle in real-world CX. Parloa was designed to manage agents through their full lifecycle — design, test, launch, monitor, and optimize — with governance and reliability built in from day one.

Voice-first by design

Voice is the most demanding CX channel. Parloa has been voice-first since 2018, delivering high accuracy, low latency, and consistent performance at scale — long before voice became table stakes.

Global scale with local precision

Parloa supports global deployments without fragmentation, offering centralized control with region-specific compliance, language support, and governance.

Enterprise architecture that adapts to you

Parloa integrates with existing CCaaS platforms, CRMs, and enterprise systems, so teams don't need to rebuild their CX stack to scale AI.

Faster path from pilot to production

Parloa customers move from pilot to production in ~90 days on average, supported by built-in lifecycle management, proven deployment patterns, and deep enterprise experience.

Trusted by leading brands

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