Conversational AI assistant for writing, coding, and everyday questions.
View detailsNetomi is an AI platform that resolves customer support tickets over chat and email. It trains on a company's historical tickets, help center, and policies, then answers and resolves incoming requests automatically, learning from every interaction to get better over time.
Key Features
- AI resolution for chat and email tickets
- Trains on historical tickets and help center
- Backend actions like refunds and order updates
- Resolution and satisfaction analytics
- Works with Zendesk and Salesforce
- Continuous learning from every interaction
Pricing
| Plan | Price | Details |
|---|---|---|
| Pricing | Check official site | See the official site for current plans. |
Prices as listed in 2026 research. Always check the official site for the latest price — plans change. Free plan: No free plan — paid plans only.
Popular with: Business Owners, Developers
How it works
The platform includes a resolution engine that can take actions in backend systems, plus analytics that show deflection rates and customer satisfaction. It works alongside existing help desks such as Zendesk and Salesforce, so teams do not need to replace their current tools.
Netomi is sold through custom enterprise contracts, so pricing is available only from sales. It fits large support operations that want AI resolution layered onto the help desk they already use.
Pros and Cons
✓ Pros
- Layers onto your existing help desk
- Learns from your real ticket history
- Takes actions, not just answers questions
- Strong analytics on deflection and CSAT
✗ Cons
- No published pricing; every deal is a custom quote
- Enterprise-focused with long sales cycles
- Performance depends on ticket history quality
Frequently Asked Questions
Is Netomi free?
No — Netomi has no free plan. Check official site
What is Netomi best for?
support teams that want AI to resolve tickets without changing their help desk.
What kind of tool is Netomi?
Netomi is a AI Chatbots tool on VerlumoAI.
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View detailsLast reviewed: November 2026