Kore.ai vs Vapi

Detailed side-by-side comparison to help you choose the right tool

Kore.ai

🟢No Code

Voice AI Tools

Enterprise conversational AI platform for building intelligent virtual assistants with voice, chat, and process automation capabilities.

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Starting Price

~$100,000/year

Vapi

🔴Developer

Voice AI

Vapi is the developer platform for voice AI agents — build, deploy, and scale phone agents with usage-based pricing and bring-your-own model keys.

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Starting Price

$0.05/minute + provider costs

Feature Comparison

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FeatureKore.aiVapi
CategoryVoice AI ToolsVoice AI
Pricing Plans25 tiers185 tiers
Starting Price~$100,000/year$0.05/minute + provider costs
Key Features
  • Visual Dialog Builder & Conversation Design
  • Voice AI & Contact Center Connectors
  • Pre-Built Industry Solutions
  • Build and deploy phone and conversational voice agents
  • Real-time monitoring and enterprise-grade configurability
  • Support for customer support, lead qualification, and appointment scheduling

💡 Our Take

Choose Kore.ai if voice is one channel inside a broader omnichannel program with strict compliance, agent assist, and analytics requirements. Choose Vapi if you are a developer or startup building LLM-native voice agents and want pay-as-you-go per-minute pricing, fast API-first integration, and the freedom to bring your own STT, TTS, and LLM provider without an enterprise contract.

Kore.ai - Pros & Cons

Pros

  • Recognized as a Leader in the Gartner Magic Quadrant for Enterprise Conversational AI Platforms multiple years running
  • Native integration with 6+ major contact center platforms (Genesys, NICE CXone, Avaya, Cisco UCCE, Amazon Connect, Twilio)
  • Pre-built vertical solutions (BankAssist, HealthAssist, AgentAssist, SmartAssist) shorten go-live by months
  • Reported to process 2+ billion interactions annually across 400+ Fortune 2000 customers
  • Supports 100+ languages with on-premise, hybrid, and SaaS deployment options
  • GALE engine adds governed generative AI and RAG without abandoning deterministic dialog flows

Cons

  • No public pricing — every deal goes through sales and procurement
  • Steep learning curve; advanced flows typically require certified developers or partner SI involvement
  • Implementation usually requires a multi-month professional services engagement
  • Smaller open-source community compared to Rasa, LangChain, or Dialogflow ecosystems
  • Proprietary dialog and NLU formats create meaningful vendor lock-in

Vapi - Pros & Cons

Pros

  • Transparent usage pricing — $0.05/min plus BYO model keys is easy to forecast
  • Sub-700ms turn-taking feels conversational, not robotic
  • Provider-agnostic stack lets you pick best-of-breed STT, LLM, and TTS
  • Developer surface is solid: SDKs, webhooks, custom function calls
  • HIPAA and PCI options unlock healthcare and fintech use cases

Cons

  • Not a no-code product; non-developers will need engineering support
  • HIPAA at $2k/mo and ZDR at $1k/mo add up quickly for small teams
  • 10 concurrent lines is fine for most pilots but extra lines at $10/mo scale fast
  • Model costs pass through, so a chatty agent on GPT-4 can be expensive
  • Documentation around advanced routing and warm transfers is still maturing

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🔒 Security & Compliance Comparison

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Security FeatureKore.aiVapi
SOC2✅ Yes✅ Yes
GDPR✅ Yes✅ Yes
HIPAA✅ Yes✅ Yes
SSO✅ Yes🏢 Enterprise
Self-Hosted✅ Yes❌ No
On-Prem✅ Yes❌ No
RBAC✅ Yes🏢 Enterprise
Audit Log✅ Yes
Open Source❌ No❌ No
API Key Auth✅ Yes✅ Yes
Encryption at Rest✅ Yes
Encryption in Transit✅ Yes
Data Residency
Data Retentionconfigurable
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