An AI Agent Management Platform for customer conversations — design, test, scale, and optimise voice and chat agents as a lifecycle, not a launch.
Communication comparison
Pricing, pros, cons, and ideal use cases — side by side.
An AI Agent Management Platform for customer conversations — design, test, scale, and optimise voice and chat agents as a lifecycle, not a launch.
A shared business phone number for small teams, with an AI agent named Sona that answers calls around the clock on every plan.
| Parloa | Quo (formerly OpenPhone) | |
|---|---|---|
| Pricing | EnterpriseNot published — demo and custom quote, generally scoped by conversation volume and channel. Ask for per-conversation and per-minute rates in writing, and whether the design, test, and optimisation tooling is included or licensed separately. | PaidStarter $19/user/month monthly, $15 annual. Business $33/month, $23 annual. Scale $47/month, $35 annual. The Sona AI agent is included on all plans with 1,000 automation credits per month (roughly 10 calls); AI call summaries and transcripts cover Sona-handled calls on Starter and all calls on Business and Scale. AI call tagging is Scale-only. |
| Category | Communication | Communication |
| Ideal for | Enterprise contact centers automating tier-one call volumeFinancial services and insurance handling ID checks, claims, and card issuesHealthcare organisations automating appointments and prescription refillsMultinational operations needing multilingual voice agents | Solo operators and teams under about 20 peopleBusinesses that run on texting as much as callingAgencies and consultancies needing a shared client-facing numberAnyone who wants published pricing instead of a demo call |
Quo (formerly OpenPhone) is the lighter-weight option (Paid), while Parloa sits higher on the pricing ladder (Enterprise). Parloa is built around enterprise contact centers automating tier-one call volume; Quo (formerly OpenPhone) leans more toward solo operators and teams under about 20 people. Shortlist the one whose strengths line up with your biggest constraint.
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