Comparing Netomi and Quiq? Both are AI Agents & Chatbots and Enterprise tools in the directory, which is why buyers put them on the same shortlist. Below is a side-by-side look at how they price, what they integrate with, and when each is the better fit, so you can pick on the facts rather than either vendor's own sales page.
| Attribute | Netomi | Quiq |
|---|---|---|
| Pricing | Per resolution · Custom | Per resolution · Custom (per-conversation) |
| Founded | 2016 | 2015 |
| Categories | AI Agents & Chatbots Enterprise | AI Agents & Chatbots Enterprise Voice & Phone AI |
| Integrations | Zendesk Salesforce Freshdesk Genesys ServiceNow Shopify | Salesforce Zendesk Microsoft Dynamics 365 Kustomer Five9 Genesys Amazon Connect Shopify |
Netomi builds agentic AI for large enterprises in demanding industries like telecom, travel, retail, and financial services, and its whole personality is built around trust. Its sanctioned AI approach means agents act only within approved knowledge and workflows, combining deterministic guardrails with generative reasoning so that answers stay accurate and on brand. Netomi markets a track record it describes in absolutes, claiming zero broken guardrails and zero brand violations, and it backs the pitch with a heavy stack of compliance credentials including SOC 2, HIPAA, GDPR, and ISO 27001. It works across email, chat, messaging, and voice in more than a hundred languages.
Under the hood, Netomi frames its offering around an agentic factory and a development lifecycle for building and governing specialized agents at Fortune 500 scale, and it integrates deeply with the tools enterprises already run, including Zendesk, Salesforce, Freshworks, Genesys, and Shopify. It offers both a fully autonomous virtual agent and an agent-assist mode, so teams can dial the level of automation up or down as their comfort grows.
The company was founded in 2016, originally under the name msg.ai, and is headquartered in San Mateo, California under founder and CEO Puneet Mehta. It recently raised a sizable Series C led by Accenture Ventures, with Adobe Ventures also participating, an unusual double endorsement from two strategic heavyweights that speaks to where enterprises think this market is going. Netomi is now woven into Accenture's enterprise work and Adobe's agentic ecosystem.
Marquee customers like MGM Resorts, Sephora, WestJet, and Nespresso trust it with high-stakes conversations, with WestJet reporting that it resolves the vast majority of routine cases while lifting customer satisfaction along the way. For regulated, brand-sensitive enterprises that simply cannot afford to have an AI agent wander off script, Netomi's safety-first posture is its whole reason for being.
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Quiq is an agentic AI platform for enterprise customer experience. Its AI Agents resolve customer questions end to end across messaging channels, its Voice AI handles natural phone conversations, and its AI Assistants coach human agents in real time when a conversation needs a person. Everything runs through a digital contact center workspace, with an AI Studio for building, testing, and monitoring agents. In July 2026 Quiq added Verified Intelligence, a governance layer of guardrails, simulations, and step by step visibility into agent decisions.
CEO Mike Myer founded Quiq in Bozeman, Montana in 2015, which makes it one of the longer running players in AI for CX. The company raised a $25 million Series C led by Baird Capital in 2022, and in May 2026 it rebranded around the shift from isolated AI pilots to production scale deployments, launching Voice AI at the same time. Customers include Roku, IHG Hotels and Resorts, Brex, Panasonic, Lululemon, Terminix, and Brinks Home.
Quiq publishes no prices anywhere on its site. The model is usage based: you pay for the conversations you actually use rather than for seats or feature tiers, so costs scale with volume and can be forecast from it, but every deal starts with a sales conversation and a custom quote. There is no free tier and no self serve signup, and professional managed services, where Quiq's own team builds and tunes your agents, cost extra.
Choose Quiq if you are a consumer brand with real conversation volume that wants one vendor covering autonomous AI agents, voice, and human agent assist, with governance tooling strong enough to satisfy a cautious legal team. It is squarely an enterprise sale with enterprise onboarding, so a small support team that wants self serve signup, a published price list, or a quick weekend deployment should look at lighter helpdesk native AI products instead.
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