Rasa vs. Decagon: 2026 Conversational AI Comparison
Rasa vs Decagon
Teams evaluating an AI customer service platform ask the same three questions: can we self-host, can our team own it, and what does it actually cost? Here's how Rasa compares on the dimensions that decide enterprise deals.
The short version
Rasa is the self-hosted, customer-owned alternative for teams that need to own the agent, run it in their own environment, and govern regulated workflows with explicit policies.
- Self-hosted
- Customer-owned
- Native voice
- Guided governance
- Published pricing
Decagon
Two platforms, two opposite philosophies
Decagon focuses on autonomous AI agents trained on company knowledge. Handles customer conversations without human routing. Integrations with Zendesk, Salesforce, Intercom.
Founded: 2023
HQ: San Francisco, CA
Funding: $481M+
Rasa is an enterprise conversational AI platform built on a self-hosted, developer-owned architecture. Patented dialogue management (CALM) delivers guided governance: business logic controls high-risk actions through explicit policies, regardless of LLM output. Native voice (Twilio, AudioCodes, Genesys), 100% on-prem or private cloud, transparent conversation-volume pricing. Customers include N26, Deutsche Telekom, Helvetia, Autodesk.
Founded: 2016
HQ: San Francisco / Berlin
Funding: ~$70M raised
Capterra: 4.7 / 5
One platform for voice and chat, running in your environment
Rasa runs the same guided-governance engine across phone and chat, fully self-hosted. Your team configures flows, policies, and integrations directly, with no managed-service dependency.
- Native voice over Twilio, AudioCodes, and Genesys, sharing context with chat.
- Explicit policies control high-risk actions on regulated workflows, regardless of LLM output.
- Deploy on-prem, in private cloud, or air-gapped, with no customer data leaving your perimeter.
Comparison matrix
Side-by-side on the dimensions that decide enterprise deals
| Differentiator | Rasa | Decagon | Verdict |
|---|---|---|---|
| Deployment Model | Cloud, on-premise, or hybrid; open-source option | Cloud-only SaaS | |
| NLU Engine | Transformer-based, fully customizable | Proprietary, autonomous-first | |
| Target Audience | Any scale; developers and non-technical teams | Tech-forward companies seeking autonomous containment | |
| Primary Use Case | Multi-channel conversational assistants | Fully autonomous customer resolution | |
| Data Privacy | On-premise option for full data control; GDPR-ready | Cloud-only; no self-hosted option | |
| Integrations | 100+ via Zapier, REST APIs, custom plugins | Zendesk, Salesforce, Intercom |
Our methodology
This comparison draws on user reviews from G2, Capterra, TrustRadius, and GetApp, combined with vendor documentation, published pricing, and enterprise buyer interviews. We review product documentation, pricing pages, and feature releases directly, and cross-reference reviews for real-world deployment patterns and common friction points, with a focus on regulated industries (banking, healthcare, telco, insurance) where deployment flexibility and governance architecture are hard gates.
Conflict of interest disclosure: This comparison is published on Rasa's website. Rasa is a commercial conversational AI platform and stands to benefit from enterprises choosing its platform.
Autonomous-First Philosophy vs. Governed Dialogue Ownership
| Summary | Rasa | Decagon |
|---|---|---|
| Decagon's philosophy | - Prioritizes resolution containment - Quick training on existing support conversations |
- Customer-owned architecture: - Self-hosted from day one, - Patented dialogue management |
NLU Capabilities & Accuracy
| Summary | Rasa | Decagon |
|---|---|---|
| Rasa's NLU | - Fully customizable - No "trust the AI" requirement |
- Limited control - Autonomy without governance is a dealbreaker |
Security & Compliance
| Summary | Rasa | Decagon |
|---|---|---|
| Rasa Compliance | - On your infrastructure - Control encryption and access |
- Limited compliance auditing due to being cloud-only |
Developer Experience & Integration
| Summary | Rasa | Decagon |
|---|---|---|
| Rasa Development | - Built for engineers - Fully scriptable |
- Designed for non-technical teams |
Pricing & ROI
| Summary | Rasa | Decagon |
|---|---|---|
| Rasa Pricing | - Developer Edition: free - Enterprise version with clear pricing |
- Custom pricing, limited public information |
Customer Success and Support
| Summary | Rasa | Decagon |
|---|---|---|
| Rasa Support | - Community and dedicated support | - Limited visibility into quality |
The verdict
Choose Decagon
Decagon fits tech-forward teams that want fully autonomous, cloud-based customer resolution and are comfortable without self-hosting or hands-on control of governance and escalation logic.
Choose Rasa
Rasa fits enterprises that need ownership, self-hosted deployment, native voice, deterministic governance, and transparent pricing.