Looking for a Decagon alternative?
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
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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.
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.
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Why Parloa
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 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.
Parloa supports global deployments without fragmentation, offering centralized control with region-specific compliance, language support, and governance.
Parloa integrates with existing CCaaS platforms, CRMs, and enterprise systems, so teams don't need to rebuild their CX stack to scale AI.
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
See why global enterprises trust our platform.
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