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Crisp vs Rasa — Head-to-Head Comparison
Quick verdict: Rasa stands out for complete data ownership with self-hosted deployment option, while Crisp excels at flat-rate pricing with no per-seat charges saves money as teams grow.
Feature Comparison
| Feature | Crisp | Rasa |
|---|
| MagicReply AI assistant for suggested responses | ✓ | — |
| Co-browsing and screen-sharing (MagicBrowse) | ✓ | — |
| Unified inbox for all messaging channels | ✓ | — |
| Built-in CRM with customer profiles | ✓ | — |
| Knowledge base and help center | ✓ | — |
| Chatbot builder with triggers and conditions | ✓ | — |
| Campaigns and marketing automation | ✓ | — |
| Video and audio calls from chat widget | ✓ | — |
| Status page for downtime communication | ✓ | — |
| Developer-friendly API and SDK | ✓ | — |
| Open-source NLU and dialog management engine | — | ✓ |
| CALM framework combining LLMs with structured dialog | — | ✓ |
| Custom ML pipeline for domain-specific training | — | ✓ |
| Full data ownership and on-premise deployment | — | ✓ |
| Multi-turn conversation management | — | ✓ |
Pricing Comparison
| Plan | Crisp | Rasa |
|---|
| Starting price | $0/mo | $0 |
| Free plan | Yes | Yes |
| Mid tier | $25/mo/workspace | Custom |
Pros & Cons
Crisp
Pros
- Flat-rate pricing with no per-seat charges saves money as teams grow
- Co-browsing is a unique feature few competitors offer
- Generous free plan includes live chat for 2 agents
- All-in-one platform reduces tool sprawl
Cons
- AI capabilities are less advanced than dedicated AI platforms
- Chatbot builder is functional but not as polished as specialists
- Reporting and analytics could be more detailed
- Mobile app experience lags behind desktop
Rasa
Pros
- Complete data ownership with self-hosted deployment option
- Highly customizable ML pipelines for domain-specific accuracy
- Active open-source community with extensive documentation
- Enterprise-proven at scale with major global brands
Cons
- Requires significant developer expertise to implement and maintain
- Steeper learning curve than no-code chatbot platforms
- Self-hosting demands dedicated DevOps resources
- Enterprise pricing is not publicly listed
Which Should You Choose?
Choose Crisp if:
- Growing teams wanting all-in-one messaging without per-seat pricing
- Support teams that need co-browsing and screen-sharing in their workflow
Try Crisp
Choose Rasa if:
- Enterprise dev teams needing full control over conversational AI models and data
- Organizations with strict data privacy requirements needing on-premise deployment
Try Rasa
