Duvi vs Sendbird: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Duvi and Sendbird — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Duvi
Duvi DigiIQ, Inc.
Build voice and chat support agents by describing them in conversation; one configuration answers on your website, WhatsApp and phone line.
Key features
- Conversational Agent Builder: Creating an agent opens a conversation with a builder that writes the system prompt, picks a model and ingests the websites the agent should answer from, so setup is a dialogue rather than a configuration form.
- Unified Omnichannel Configuration: One agent configuration serves website chat, a WhatsApp number and a phone line, with the same knowledge behind every channel so context is not lost when a customer switches.
- Live Knowledge Lookups: The agent checks your connected store as it answers, so stock and catalogue responses reflect what is actually available at that moment rather than a stale snapshot.
- Website Actions: With the customer's instruction the agent operates the on-page controls you allow, completing the task in front of them instead of handing them a link and instructions.
- Grounded Answering: The agent answers from the pages you point it at and says so when the information is not there, rather than guessing.
- Preview Before Launch: Agents are tested in Preview and only go live once the domain is allowed and a snippet is pasted on your site.
- Broad Connector Library: Sign-in level integrations for Shopify, WooCommerce, Wix, Salesforce Commerce Cloud, Stripe, PayPal, Notion, Airtable, Webflow, Linear, monday.com, Sentry, Supabase, Cloudflare and Zapier.
- Team Workspace: Staff query the day's conversations and orders through their own authorized connection, so the answer reflects the order a customer placed moments ago.
Best for
- Ecommerce Support Deflection: A Shopify store answers stock, shipping and returns questions automatically, with the agent reading live catalogue data instead of a static FAQ.
- Lead Capture With Context: An agent takes a caller's email or number and routes it to the team with the whole conversation attached, so nobody asks the customer to repeat themselves.
- Phone Line Replacement: A small team replaces a recorded phone menu with an agent that answers real questions using the same knowledge base as the website chat.
- WhatsApp Commerce: A brand serving customers primarily on WhatsApp runs the same support agent there without maintaining a separate bot.
- Startup Support Coverage: An early-stage team keeps answering customers around the clock while engineers focus on building the product.
- Enterprise Support Augmentation: An established support operation adds agents to an existing stack via connectors rather than replacing its tooling.
Sendbird
Sendbird
Enterprise-grade omnichannel AI customer service agent that understands intent, maintains context, and integrates with existing systems.
Key features
- Contextual Understanding: Maintains conversation state and context across channels so the agent picks up exactly where a customer left off, improving resolution speed and coherence.
- Omnichannel Support: Deploys the agent across SMS, email, WhatsApp, in-app chat, web chat and social messaging to meet customers on their preferred channels.
- Seamless Integrations: Connects to enterprise systems and knowledge stores such as Salesforce, Zendesk, Notion, and Google Drive to train the agent on existing content and surface authoritative answers.
- Unified Customer Insights: Aggregates omnichannel conversations into consolidated insights and metrics to inform product, support, and business decisions.
- Proactive Engagement: Anticipates needs and can initiate contextual outreach on preferred channels to reduce friction and prevent issues before escalation.
- Human Escalation & Actions: Automatically escalates complex issues to human agents while preserving full conversation history and context for faster handoffs.
- Developer SDKs & APIs: Provides Chat APIs and SDKs (iOS, Android, Web, Flutter, JavaScript, etc.) for embedding real-time messaging and AI capabilities into apps.
- Scalable Real-Time Messaging: Built to support high-volume, low-latency messaging use cases for marketplaces, gaming, and customer support platforms.
- Omnichannel AI Agent supporting SMS, email, WhatsApp, in-app chat, web, and social messaging
- Context maintenance across channels so conversations resume where left off
- Intent understanding, natural language responses, and proactive engagement capabilities
- Actionable workflows: can take actions, adapt over time, and escalate to human agents
- Seamless integrations with enterprise systems (Salesforce, Zendesk, Notion, Google Drive) for training and data access
- Chat API for server-side integration and management of applications, users, messages, and channels
- Client SDKs and UI kits: iOS (Swift), Android (Java/Kotlin), JavaScript/React, Flutter, .NET, Unity
- Open-source repositories for SDKs and UI kits (sendbird-uikit-react, sendbird-uikit-ios, sendbird-uikit-android, sendbird-chat-sdk-*)
- Authentication model based on unique user IDs per Sendbird application
- Designed for scale and real-time messaging use cases
Best for
- AI Customer Support: Automate tier-1 support to answer billing, account and common product questions across web chat, in-app chat, SMS and WhatsApp, reducing human load.
- Proactive Outreach: Trigger personalized, context-aware notifications or troubleshooting steps to customers likely to churn or encountering errors.
- Knowledge-Driven Agent Training: Train the AI agent on internal docs in Notion, Google Drive, or Zendesk to provide accurate, company-specific answers.
- In-App Conversational Experiences: Embed Sendbird SDKs to provide real-time, contextual chat and AI assistance inside mobile apps and web products.
- Unified Analytics for CX Teams: Consolidate conversation data across channels to generate insights for product, support operations, and marketing.
- Seamless Human Handoff: Escalate complex conversations to human agents with full context and suggested responses to speed resolution.
- High-Volume Messaging for Marketplaces: Manage notifications, transactional messaging, and buyer–seller conversations with scalable, low-latency infrastructure.
- Automated customer support across messaging channels with context-aware AI responses
- Omnichannel customer engagement and proactive outreach
- Business messaging workflows integrating CRM and knowledge stores
- Hybrid AI + human agent support with seamless escalation
- In-app chat for social, gaming, marketplace, and community apps requiring real-time messaging