Home » Call Center Software » Predictive Dialer Software » Dialer.ai Predictive Dialer Software
Dialer.ai is a cloud-based predictive dialer software designed for outbound and inbound call centers. It automates dialing, detects voicemails and human answers, and dynamically adjusts call pacing based on agent availability.
With multi-tenant billing, white labeling, developer APIs, and compliance-focused reporting, Dialer.ai helps sales, collections, and campaign teams significantly increase agent talk time while reducing idle dialing.
| Plan | Price | Featured |
|---|---|---|
| 25 Ports | $299/mo (Billed Monthly) | 5 Agents, Voicemail Detection, 10,000 Daily Call Limit |
| 100 Ports | $499/mo (Billed Monthly) | 10 Agents, Inbound Calling, 50,000 Daily Call/SMS Limit |
| 250 Ports | $899/mo (Billed Monthly) | 25 Agents, White Labeling, Developer APIs |
| 500 Ports | $1,250/mo (Billed Monthly) | 50 Agents, Voice/SMS Billing, Advanced APIs |
| 1000 Ports | $2,250/mo (Billed Monthly) | 100 Agents, Multi-Tenant Support, 500,000 Daily Call Limit |
Price details: http://dialer.ai/pricing/
Competitor |
Pros |
|---|---|
| Five9 | Dialer.ai is significantly more affordable and transparent in pricing than Five9, making it easier for small to mid-sized call centers to adopt predictive dialing without enterprise contracts. Its simpler setup and flexible VoIP provider choice reduce onboarding complexity compared to Five9’s enterprise-heavy ecosystem. |
| Genesys | Compared to Genesys, Dialer.ai offers faster deployment and lower operational overhead. It focuses on core predictive dialing and campaign management without the extensive configuration typically required by Genesys, making it more accessible for teams that need rapid scaling and straightforward daily use. |
| NICE CXone | Dialer.ai is easier to manage and far less costly than NICE CXone. While NICE excels in omnichannel analytics, Dialer.ai provides a leaner, dialer-first experience that prioritizes agent talk time, simpler reporting, and predictable monthly costs. |
| Aircall | Unlike Aircall, which requires higher-tier plans for advanced dialing, Dialer.ai includes predictive dialing as a core capability. It is better suited for high-volume outbound campaigns and offers deeper control over dialing ratios and compliance-related settings. |
| CloudTalk | Dialer.ai scales to hundreds of agents with port-based pricing, which can be more cost-efficient than per-user models like CloudTalk. It also offers stronger white-label and multi-tenant features, appealing to BPOs and resellers. |
Competitor |
Cons |
|---|---|
| Five9 | Compared to Five9, Dialer.ai lacks advanced AI-driven workforce optimization and omnichannel routing. Enterprises needing deep CRM-native analytics and global compliance certifications may find Dialer.ai less comprehensive than Five9’s mature enterprise feature set. |
| Genesys | Dialer.ai does not match the breadth of Genesys’ omnichannel and customer journey orchestration tools. Organizations requiring complex inbound, digital, and AI chatbot integrations may outgrow Dialer.ai’s more dialer-centric focus. |
| NICE CXone | NICE CXone provides more advanced AI analytics, quality management, and compliance tooling. Dialer.ai is comparatively limited in speech analytics and AI coaching, which may be a drawback for highly regulated or analytics-driven contact centers. |
| Aircall | Aircall offers a more modern UI and richer native CRM integrations. Dialer.ai’s interface is more utilitarian, and some integrations may require API work rather than plug-and-play app marketplace connections. |
| CloudTalk | CloudTalk emphasizes ease of use and quick setup for sales teams, while Dialer.ai may require more telephony knowledge, especially around VoIP configuration. This can increase initial setup time for non-technical teams. |
