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

A side-by-side comparison of Duvi and Rezonant — 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.

Freemium

Converts product vision into engineering-ready tasks, orchestrated agents, and shipped code to streamline product-to-engineering delivery.

Intent Capture: Converts high-level product descriptions into structured, machine-readable specifications to preserve product intent throughout delivery.
Task Generation: Automatically generates engineering-ready tasks from product requirements, including acceptance criteria and context for implementation.
Agent Orchestration: Coordinates autonomous or semi-autonomous agents to act on tasks (e.g., prototype, implement, test, or validate) to accelerate execution.
Code Linking: Associates tasks and agent activity with shipped code, enabling traceability from product decision to implementation artifacts.
Traceability and Audit: Maintains a continuous lineage of product intent → tasks → agents → code to support review, auditing, and change rationale.
Collaboration Workspace: Provides a shared environment for product managers and engineers to review, refine, and approve generated tasks and agent outputs.
Capture product intent and specifications as first-class inputs
Automatic generation of engineering-ready tasks from product intent
Orchestration and management of agents to execute subtasks and workflows
Linkage between tasks and shipped code for end-to-end traceability
Task lifecycle tracking from intent to delivery

Product-to-Engineering Handoff: Transform a product spec or feature brief into a prioritized backlog of engineering-ready tasks with acceptance criteria.
Automated Implementation Support: Use orchestrated agents to prototype or produce initial code artifacts that engineers can iterate on.
Traceability for Compliance and Reviews: Maintain a clear lineage from product decisions to code for audits, post-mortems, and stakeholder reviews.
Backlog Generation from Vision: Convert roadmap items or high-level objectives into detailed task lists to accelerate sprint planning.
Reducing Miscommunication: Provide a single source of truth where product intent, tasks, and implementation artifacts are linked and reviewable.
Continuous Delivery Assistance: Integrate agent outputs and task states into development workflows to speed up delivery and handoffs.
Translate high-level product requirements into actionable engineering tasks
Automate creation of implementation tickets for engineering teams
Coordinate multi-step agent workflows to prototype and produce code artifacts
Maintain traceability between product decisions and deployed code
Reduce handoff ambiguity between product managers and engineers