Duvi vs Quark: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Duvi and Quark — 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.
Quark
Quark.ai
Autonomous Support platform that interprets customer issues and automatically recommends resolutions to boost agent productivity and customer experience.
Key features
- Autonomous Issue Interpretation: Uses natural language understanding to parse ticket content, extract intents, detect root causes, and classify issues for faster triage.
- Automated Resolution Recommendation: Suggests prioritized fixes, step-by-step remediation, and relevant knowledge-base articles so agents can resolve issues without manual searches.
- Generative Response Composer: Leverages large transformer models and integrations with ChatGPT and BARD to draft personalized, context-aware replies and suggested responses for agents.
- Agent Productivity Workspace: Provides in-line suggestions, one-click insertion of recommended resolutions, and editable reply drafts to accelerate agent response times and reduce cognitive load.
- Cross-Channel Integration: Designed to work across common support channels and systems (chat, email, ticketing platforms and CRMs) to centralize recommendations and automate workflows.
- Continuous Learning & Feedback Loop: Collects agent feedback and resolution outcomes to refine recommendations over time and improve suggestion accuracy and relevance.
- Automated issue interpretation and intent extraction from support tickets/conversations
- Automated resolution recommendation and suggested remediation steps for agents
- Searchless knowledge retrieval—synthesizes relevant documentation instead of manual search
- Integrations with conversational models such as ChatGPT and BARD
- Supports multiple support verticals: Customer, Technical, Field, E‑commerce, and Sales
- Designed to increase agent productivity and improve customer experience through automation
Best for
- Technical Support Triage: Automatically classify incoming technical tickets, suggest probable root causes, and provide stepwise troubleshooting instructions to reduce mean time to resolution.
- Field Support Assistance: Give field technicians instant, contextual repair instructions and parts information derived from past incidents and documentation to speed on-site fixes.
- E-commerce Customer Service: Generate accurate responses for order inquiries, returns, and refund requests by recommending policy-compliant replies and relevant KB content.
- Sales & Pre-Sales Support: Provide sales teams with ready-made technical answers, product comparisons, and configuration guidance to accelerate deal cycles.
- Self-Service Knowledge Automation: Convert frequent automated recommendations into published knowledge-base articles or chat-bot flows to deflect repetitive tickets.
- Agent Training & Onboarding: Surface best-practice resolutions and example responses in real time to coach new agents and harmonize support quality.
- Agent assist: provide suggested replies and step-by-step resolutions during ticket handling
- Automated triage: classify and route incoming issues to correct teams or workflows
- Self-service enhancement: generate guided resolutions for end-users from knowledge bases
- Field support enablement: surface troubleshooting steps for on-site technicians
- E‑commerce and sales support: quickly resolve order/transaction related queries