Comet Browser vs Duvi: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Comet Browser and Duvi — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Comet Browser
Perplexity
An AI-powered, Chromium-compatible web browser from Perplexity focused on agentic search, privacy controls, and a Windows-11-oriented UI.
Key features
- Agentic Search Integration: Integrates Perplexity's agentic search approach to surface AI-driven search results and streamline query workflows within the browser interface.
- Chromium Compatibility: Built to be Chromium-compatible so existing Chrome extensions and web features can work or be adapted for Comet (though specific extension support has had compatibility discussions).
- Privacy and Tracker Controls: Emphasizes privacy features and controls intended to limit tracking and improve private browsing experience, a core element raised by users and extension developers.
- Windows-11-Focused UI: Community and experimental builds (including Electron-based iterations) prioritize a modern UI and UX tailored for Windows 11 aesthetics and workflows.
- Developer & Community Builds: Early releases and community repositories provide pre-release downloads and source builds; developers can run or experiment with local Electron/Node-based builds.
- Extension Compatibility Diagnostics: Public issues and discussions (e.g., AdGuard) show active testing and diagnostics around how ad-blockers and other extensions install and function under Comet's environment.
- Chromium-compatible browser core (Perplexity Comet)
- AI/agentic search integration (Perplexity)
- Windows 11–styled UI/UX focus
- Electron-based prototype with webview and tab support
- Developer-run-from-source workflow (Git, Node, npm)
- Tab overhaul and UI icon assets in prototype
- Early-stage project with active commits and experimental features
- Extension ecosystem is Chromium-like but may require compatibility steps (Manifest V3)
Best for
- AI-driven research workflows where users want agentic search results and follow-up queries without switching between separate apps or tabs.
- Privacy-conscious browsing where users rely on built-in tracker and ad controls to reduce profiling while searching and visiting sites.
- Extension testing and adaptation by extension developers (AdGuard and others) who need to ensure compatibility with a Chromium-compatible but distinct browser build.
- Windows 11 users seeking a browser with a modern, native-feeling UI/UX tailored to the OS aesthetic and interaction patterns.
- Early adopters and developers who want to run pre-release or source builds (Electron/Node) to test features, contribute, or prototype integrations.
- Research and productivity sessions that combine standard web browsing with AI search capabilities to accelerate information discovery.
- Using an AI/agentic search-enabled browser for conversational or context-aware web search
- Privacy-focused browsing within a Chromium-compatible shell
- UI/UX experimentation and prototyping (Electron-based desktop browser shell)
- Testing and adapting browser extensions for a new Chromium-based browser (Manifest V3 compatibility)
- Developer/local builds for testing features: clone repo, npm install, npm run dev
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.