Overview
Ribbo is an AI customer support agent that trains on a business’s own data (website content, documentation, blog posts, and historical chat logs) to build branded chatbots. It combines large language models (GPT-3.5/GPT-4 and Claude where available) with company data and tone-of-voice controls to answer customer questions, provide multilingual support, and hand off conversations to human agents when needed. The platform emphasizes no-code setup, embeddable web widgets, automated retraining, and developer integrations via a Widget JS SDK and REST API. (Note: the site features page returned a 404 at time of scraping; this description was drawn from the homepage, pricing, knowledge base, blog content, and legal pages.)
Key Features
Training from any data source
Ingests website content, documentation, blog posts, and historical chat logs to create a knowledge base for accurate, brand-specific answers.
Editable chat history & fine-tuning
Teams can correct inaccurate answers and apply edits so the bot learns from past conversations and improves over time.
Embeddable web chat widget (Widget JS SDK)
Easy-to-install floating bubble or full-size chat widget for websites with customization of design and tone to match brand guidelines.
Multilingual support
Supports documents in any language and can carry on conversations in different languages, enabling global support.
Human handoff and safety controls
Seamless escalation from bot to human operator when needed, plus configurable model boundaries and safeguards to reduce harmful or reputationally risky outputs.
Automated retraining cadence
Scheduled automated retraining (options vary by plan: hourly/6 hours/24 hours) to keep the bot aligned with new data.
Who Can Use This Tool?
- Small Businesses:Provide 24/7 automated customer support and reduce repetitive support costs.
- Mid-sized Companies:Scale support operations, automate simple inquiries, and free agents for complex work.
- Developers & Product Teams:Integrate chat widget and REST API to embed or programmatically control AI chat capabilities.
Pricing Plans
Starter plan with 30 message credits and 1 chatbot app.
- ✓30 message credits
- ✓1 chatbot app
- ✓1,000,000 characters of uploaded/training data
- ✓5 MB file upload limit
Basic plan with 2k message credits and 2 chatbot apps.
- ✓2,000 message credits per month
- ✓2 chatbot apps
- ✓2,000,000 characters of data
- ✓10 MB file upload limit
- ✓Automated chatbot retraining every 24 hours
- ✓1 team member
Most popular plan with 5k credits and access to powerful models.
- ✓5,000 message credits per month
- ✓5 chatbot apps
- ✓4,000,000 characters of data
- ✓30 MB file upload limit
- ✓Automated chatbot retraining every 6 hours
- ✓3 team members
- ✓Access to GPT-4 and Claude models
Higher-tier team plan with 10k credits and hourly retraining.
- ✓10,000 message credits per month
- ✓15 chatbot apps
- ✓6,000,000 characters of data
- ✓70 MB file upload limit
- ✓Automated chatbot retraining every 1 hour
- ✓5 team members
- ✓Access to GPT-4 and Claude models
Enterprise plan with 40k credits, many apps, and removal of branding option.
- ✓40,000 message credits per month
- ✓50 chatbot apps
- ✓12,000,000 characters of data
- ✓100 MB file upload limit
- ✓Automated chatbot retraining every 1 hour
- ✓10 team members
- ✓Access to GPT-4 and Claude models
- ✓Option to remove "Powered by Ribbo.ai" branding
Pros & Cons
✓ Pros
- ✓Trains on your own content: website pages, docs, blog posts, chat logs for context-aware answers.
- ✓No-code and developer-friendly: quick embedding via widget, plus Widget JS SDK and REST API for integrations.
- ✓Multilingual support: can train on documents in any language and support conversations in different languages.
- ✓Flexible model access: options include GPT-3.5, GPT-4 and Claude (higher-tier plans include GPT-4/Claude access).
- ✓Automated retraining: scheduled retraining (hourly/6h/24h depending on plan) keeps the bot up-to-date.
- ✓Usage-based credit model allows fine-grained consumption tracking and model choice trade-offs.
✗ Cons
- ✗Features page returned 404 at time of scraping; publicly visible feature documentation is limited on the main site.
- ✗Credit-based billing adds complexity to cost forecasting (different models consume credits at different rates).
- ✗Reliance on LLMs still requires oversight — site emphasizes safety controls and human handoff but accuracy depends on data quality.
- ✗Some resources (community, explicit enterprise SLA details) not prominently available or not found.
Compare with Alternatives
| Feature | Ribbo | Chatbase | Wonderchat |
|---|---|---|---|
| Pricing | $20/month | $40/month | $29/month |
| Rating | 8.2/10 | 8.3/10 | 8.0/10 |
| Training Sources | Yes | Yes | Yes |
| Model Flexibility | Yes | Yes | Yes |
| No-code Builder | Yes | Yes | Yes |
| Widget Embedding | Yes | Partial | Yes |
| Human Handoff | Yes | Partial | Yes |
| Retrain Automation | Yes | Partial | Yes |
| Analytics Depth | Basic analytics | Detailed analytics and insights | Moderate analytics |
| Multichannel Reach | Web and API only | Broad multi channel support | Web voice and phone channels |
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