Relevance AI vs Vapi
A side-by-side look at Relevance AI and Vapi — pricing, features and where each one wins. Both are reviewed independently on Curata AI.
| Relevance AI | Vapi | |
|---|---|---|
| Summary | Enterprise platform for building, orchestrating and governing an 'AI workforce' of autonomous agents across sales, support, marketing and ops. | Enterprise-grade voice AI platform for building, testing and deploying AI phone agents with sub-500ms latency at scale. |
| Pricing | Freemium | Paid |
| Category | AI Agents | Voice |
| Platforms | Web, API | Web, API |
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Which one should you choose?
Relevance AI
Best for: Sales, CS, marketing and ops teams that want multi-model, governed AI agents rather than a single-LLM chatbot.
Vapi
Best for: Developers and enterprises building production voice AI agents for support, sales and scheduling.
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Read the full Relevance AI review
Relevance AI markets itself as 'the home of the AI Workforce' — a platform for building autonomous AI agents that handle work across sales, customer success, marketing, customer support, operations, HR and research, rather than hiring additional headcount. A no-code/low-code builder creates specialist agents, multi-model routing sends each task to the most cost-effective LLM (Claude, GPT, Gemini and others), and orchestration coordinates multiple agents into a team for complex workflows. Production tooling includes an evaluation framework that samples live runs and tracks pass rates, real-time tracing, audit logs, human-in-the-loop approvals and cost visibility, plus a shared context layer for consistent tone across agents. It connects to 2,000+ integrations including Salesforce, HubSpot, Gmail, Slack, Databricks and Snowflake. A September 2025 pricing overhaul replaced a single credit system with two meters — Actions and Vendor Credits — across a Free plan (200 Actions/month), a paid Pro tier, a paid Team tier and a custom Enterprise tier. Notable customers include Canva, KPMG, Databricks, Autodesk, Confluent and Freshworks.
Read the full Vapi review
Vapi is a developer-first voice AI platform for building, testing and deploying AI phone agents in production. Agents are assembled from a voice, an LLM, and a speech-to-text engine — Vapi supports bringing your own provider API keys or paying providers at cost through the platform — wired into a real-time pipeline built for sub-500ms latency and enterprise call volume. It ships native US phone numbers plus SIP/telephony integration with Twilio, Telnyx and Vonage, real-time call monitoring and post-call analytics, webhooks and function calling for connecting agents to external tools, and AI guardrails to reduce hallucinations. Vapi reports handling over 1 billion calls with 99.9% uptime for enterprise customers, 2.5M+ agents launched and 750K+ developers on the platform, with customers including Amazon Ring, Intuit, ServiceTitan and New York Life. The self-serve Build plan is usage-based with no monthly minimum; the Scale plan is a custom annual contract for enterprises needing committed volume, SOC 2/HIPAA/PCI compliance, SSO, RBAC and a dedicated account team.