Customer support
that runs 24/7.
Deploy a lightweight AI chat widget on your website, train it on your docs and FAQs, and resolve customer questions in real time.
EzraAI
Orello
Powerful features for AI support teams
Built for businesses that need instant customer help without scaling headcount linearly.
Embeddable Chat Widget
Drop in a floating bubble UI that opens into a real-time support chat on any website.
Assistant Configuration
Tune prompt, tone, response style, model, and runtime behavior to fit your brand voice.
Knowledge Grounding
Upload FAQs, docs, links, and internal notes so responses stay accurate and business-specific.
Live Dashboard
Monitor conversation quality, usage trends, and unresolved intents in one place.
Streaming Replies
Low-latency responses via SSE/WebSocket patterns keep interactions feeling instant.
Business-Ready Controls
Role-based organization access, deployment keys, and clear audit trails for each assistant.
Use Orello in your stack
React, Vue, Svelte, Angular, and a lightweight CDN script for fast universal embedding.
React
Drop the widget into React apps with minimal setup.
Vue
Integrate smoothly with Vue and Nuxt-based frontends.
Svelte
Keep bundles lean while embedding real-time support chat.
Angular
Enterprise-ready embedding flow for Angular applications.
<script src="https://cdn.orello.ai/widget.js" data-key="API_KEY"></script>Built for real support workflows
From instant FAQ handling to advanced analytics, deploy one assistant and continuously improve customer experience.
E-commerce Support
Handle shipping, returns, and order-status questions without waiting for human agents.
Cut repetitive tickets by up to 45%
SaaS Onboarding
Guide users through setup, billing, and troubleshooting directly inside product experiences.
Reduce activation friction in first session
Service Businesses
Automate FAQs, pricing clarifications, and scheduling guidance for inbound leads.
Convert more after-hours inquiries
Operations Insights
Track missed intents, quality drops, and customer sentiment to continuously improve answers.
Find support gaps before churn risk