Kore.ai

Kore.ai offers both cloud SaaS and on-premise deployment. Cloud customers benefit from managed infrastructure and automatic updates. On-premise customers deploy Kore.ai on their own Kubernetes or VM infrastructure, giving data residency control. On-premise setup requires. For regulated industries, on-premise appeals, but Kore.ai reviewers report complex setup. Hidden costs: on-premise requires your ops team to maintain security patches, scaling, and high-availability infrastructure. Kore.ai's cloud SaaS removes this burden but locks you into their infrastructure.

Rasa supports cloud, on-premise, and hybrid deployment out of the box. Your data never leaves your infrastructure unless you choose to send it elsewhere. On-premise deployment is included in the open-source edition at no cost; enterprise support adds dedicated implementation specialists and SLAs. Unlike managed services, Rasa gives your team full control: choose your hosting provider, VPC, Kubernetes distribution, or even air-gapped environments. Compliance teams approve faster because your security team reviews the architecture. No vendor dependency on SaaS uptime. For regulated industries (healthcare, finance, legal), on-premise is non-negotiable. Rasa delivers it without premium surcharge or complex licensing.

For on-premise deployments, compliance is shared: Kore.ai handles application security, your team handles infrastructure. For cloud SaaS, Kore.ai handles all compliance, but auditing is harder because you cannot inspect infrastructure.

Rasa runs on your infrastructure or your chosen cloud provider. You control encryption at rest (your key management), encryption in transit (TLS 1.2+), and access controls (IAM). Rasa does not hold customer data in a shared multi-tenant system. Enterprise Rasa includes SOC 2 Type II compliance, GDPR readiness, and audit-ready logging via OpenTelemetry. For HIPAA, you implement HIPAA-compliant infrastructure; Rasa is platform-agnostic. For PCI-DSS, on-premise deployment gives your compliance team full visibility. Rasa's architecture is inspectable: every webhook, every API call, every data flow is traceable. This transparency enables fast audit cycles and regulatory approval.

Kore.ai aims for both non-technical and technical audiences. Pre-built agents and UI-based dialogue design appeal to business users. API-first architecture allows. Reviewers report that basic deployments are fast, but complex integrations become messy due to configuration complexity. For teams with dedicated implementation resources, Kore.ai's breadth works. For lean teams needing rapid iteration, learning curve is steep.

Rasa is built for engineers. Start in VS Code or your IDE of choice; deploy via GitHub Actions or Jenkins. Rasa provides SDKs (Python, JavaScript), OpenAPI specs, and REST APIs. Extend via custom Action Servers (Python, JavaScript, Go). Integrate any CRM, database, or third-party service via REST or MCP. No low-code UI required; if your team prefers code, Rasa is fully scriptable. Rasa Playground and Rasa Studio provide visual debugging for non-engineers. For large teams, Rasa's dialogue state is event-based and queryable—understand exactly why the AI made a decision. CI/CD integration is native. Deployment is reproducible: commit your models, test in CI, deploy to production via container orchestration.

Kore.ai pricing is fully custom and opaque. ROI calculation is hard without transparent pricing. Reviewers report enterprise deals ranging from $50k to $500k+/year, but without public pricing. This opacity makes early-stage evaluation difficult and favors large enterprises with dedicated procurement teams.

Rasa Developer Edition is free, forever. One bot per company; up to 1,000 external conversations per month. Community support via GitHub and Rasa Forum. Rasa Enterprise is transparent annual licensing based on conversation volume (e.g., $50k/year for 1M conversations). Volume discounts apply. No per-agent fees. No per-resolution charges. No add-on surcharges. What you see is what you pay. Multi-year agreements available. Dedicated CSM, premium support (4-hour response SLA), and custom onboarding included at Enterprise tier. No vendor lock-in: if you outgrow Rasa, export your models and dialogue definitions; they are plain YAML and JSON.