AICaller

Automated outbound phone-calling platform using hyper-realistic AI voices for lead qualification, scheduling, and surveys.

Paid· Build $49/mo (300 credits); Grow $499/mo (4,000 credits); Enterprise usage-based at $0.12/creditAgents

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Best for

Pick AICaller if you need to automate outbound calls (lead qualification, scheduling, surveys) and want webhook/Zapier wiring without building your own voice stack.

Skip if

Skip it if you need inbound call handling, on-prem deployment, or full transparency about which speech and language models are running the conversation.

AICaller is a cloud platform that places outbound phone calls with generative-AI voice agents, handling tasks like lead qualification, appointment booking, customer feedback collection, and data gathering at scale. You define a call template (prompt, goals, follow-up questions), pick from 30-200+ voices, and the system dials contacts, conducts a natural-sounding conversation, transcribes the call, and pushes structured results to your stack via webhooks or Zapier.

It's pitched at sales, support, and ops teams who want to replace or augment human callers without standing up a contact center. Pricing starts at $49/mo for the Build tier (300 credits, $0.16/credit overage), $499/mo for Grow (4,000 credits, 100 voices), and a usage-based Enterprise plan at $0.12/credit. One credit equals one minute of a realistic voice, two credits for premium voices. You can bring your own Twilio keys on any plan.

The product exposes a full REST API (docs.aicaller.io) and integrates with 6,000+ apps through Zapier including Notion, Slack, Intercom, Stripe, and WhatsApp. The underlying voice/LLM stack isn't disclosed publicly, which is worth noting if you need to audit which models touch your customer conversations.

Editor's take

A pragmatic outbound voice-agent platform with sensible per-minute economics and decent integration breadth. The opacity around which TTS and LLM providers sit underneath is the main editorial gripe; if model provenance matters to your compliance team, ask before you commit.

— The AI Tool Bible editorial team