Duvi vs Querri 2.0: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Duvi and Querri 2.0 — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Duvi

Duvi DigiIQ, Inc.

Freemium

Build voice and chat support agents by describing them in conversation; one configuration answers on your website, WhatsApp and phone line.

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.

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.

Querri

Paid

A conversational AI data analyst that cleans datasets and delivers instant charts, tables, and insights in plain English.

Data Cleaning & Preprocessing: Automatically detects and fixes common data issues (missing values, inconsistent types and formats) so datasets are ready for analysis without manual cleaning.
Natural-Language Chat Interface: Supports conversational queries in plain English, interpreting user questions and converting them into appropriate analyses and results.
Automatic Visualizations: Generates clear charts, graphs, and tables matched to the query, allowing users to immediately see trends and summaries.
Drill-Down Recommendations: Recommends places to explore further and suggests follow-up slices or queries to deepen insights.
Non-Technical UX & Guided Workflows: Designed for business users with guided prompts, templates, and an easy-to-use interface that reduces reliance on analysts.
Resources & Learning Center: Includes guides, tutorials, and documentation to help users learn analytics workflows and get the most from the platform.
Natural language chat interface for querying data
Automatic data cleaning and preparation
Instant generation of charts, graphs, and tables
Suggested drill-downs and next-step analyses
Resources and documentation for learning and onboarding
Designed for non-technical users and team workflows

Ad-hoc Business Questions: Non-technical managers ask sales or marketing questions in plain language and receive charts and explanations instantly for meetings or reports.
Data Cleaning Prior to Analysis: Clean messy CSV exports from multiple sources quickly so teams can move directly to insight generation.
Exploratory Analysis: Analysts and product managers use the chat interface to discover trends, outliers, and segments and then drill down into promising areas.
Report & Dashboard Preparation: Generate visualizations and summary tables that can be exported or copied into presentations and reports.
Onboarding & Training: New team members use the learning center and conversational interface to understand company data and common metrics without deep SQL skills.
Iterative Investigation: Business users follow Querri's suggested drill-downs to perform iterative investigations without needing a BI engineer for each question.
Non-technical business users asking ad-hoc questions of company data
Teams exploring datasets and generating visual reports quickly
Rapid data cleaning and preparation for analysis
Producing charts and tables for presentations or dashboards
Guided analysis and discovery via suggested drill-downs