# Rasa vs Ada

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

### Ada

**VS**  
The Alternative

Self-hosted, customer-owned conversational AI.

At a glance

## Two platforms, two opposite philosophies

Ada is a no-code AI automation platform trained on knowledge base content, delivering automated resolution across chat, email, social, and limited voice.

Founded  
2016  
HQ  
Toronto, Canada  
Funding  
$200M  
Capterra  
4.7 / 5 (Capterra)

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

The dimensions enterprise teams use when picking between a managed cloud service and a customer-owned platform.

| Differentiator | Rasa | Ada | Verdict |
| --- | --- | --- | --- |
| **No-Code Automation vs. Customizable Framework** | Rasa's customer-owned architecture: self-hosted from day one, patented dialogue management for guided governance, full code-level extensibility, native voice via Twilio/AudioCodes/Genesys, and transparent conversation-volume pricing. | Ada targets CX teams without AI engineering expertise, offering no-code deployment trained on knowledge base content. |  |
| **Deployment Model & Data Sovereignty** | Rasa supports cloud, on-premise, and hybrid deployment out of the box.<br>Your data never leaves your infrastructure unless you choose to send it elsewhere. | Ada is cloud-only SaaS.<br>Knowledge base content, conversation transcripts, and customer data live in Ada's cloud infrastructure. | |
| **NLU Capabilities & Accuracy** | Rasa NLU is transformer-based and fully customizable.<br>Start with Rasa's pre-trained models (BERT, GPT-2 finetuning) or bring your own. | Ada's NLU is knowledge-base-driven: it retrieves the most relevant help article and generates a response based on that article. | |
| **Security & Compliance** | Rasa runs on your infrastructure or your chosen cloud provider.<br>You control encryption at rest (your key management), encryption in transit (TLS 1.2+), and access controls (IAM). | Cloud-only architecture means you cannot implement organization-specific security controls. | |
| **Developer Experience & Integration** | Rasa is built for engineers.<br>Start in VS Code or your IDE of choice; deploy via GitHub Actions or Jenkins. | Ada is designed for non-technical CX teams.<br>For teams requiring custom logic, multi-channel support, or deep integrations, Ada is limiting. | |
| **Pricing & ROI** | Rasa Developer Edition is free, forever.<br>One bot per company; up to 1,000 external conversations per month. | Ada pricing is custom and opaque.<br>For small support teams, Ada may be affordable. | |
| **Customer Success and Support** | Rasa Developer users: community support via GitHub Discussions, Rasa Forum, and #rasa Slack. | For enterprise deals, dedicated CSM support may be available. | |

The dimensions enterprise teams use when picking between a managed cloud service and a customer-owned platform.

### The verdict

**Which platform wins for your use case?**

- **Choose Ada**: for support teams that want no-code automation and fast deployment for high-volume deflection, and that are comfortable with cloud-only SaaS and custom pricing.
- **Choose Rasa**: for enterprises that need ownership, self-hosted deployment, native voice, deterministic governance, and transparent pricing.

## Common questions

### What's the main difference between Ada and Rasa?
Ada is a no-code, knowledge-base-trained cloud AI for customer support. Rasa is an open-source conversational AI framework supporting on-premise deployment and deep customization.

### Does Ada support voice?
Ada has limited voice support. Rasa supports native voice via Twilio, AudioCodes, Genesys.

### Is Ada suitable for healthcare?
Cloud-only limits healthcare compliance unless Rasa supports HIPAA via on-premise deployment + audit logging.