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Wonderful

Enterprise AI agents and operating layer for customer service across voice, chat and email

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About Wonderful

Wonderful is an enterprise AI platform that builds and runs AI agents for customer service and internal operations. The agents work across voice, chat, email and documents, handling tasks such as billing resolution, collections and internal IT support for large organizations in banking, telecommunications, healthcare, retail, utilities and insurance. The company was founded in Tel Aviv in 2025 by Bar Winkler (CEO) and Roey Lalazar (CTO) and focuses on markets where English is not the primary language.

Best for

  • Large-scale customer service automation for enterprises in regulated and high-volume sectors, especially in non-English-speaking markets
  • Telecom customer service: Automating customer contacts at telecom operators, with Telefonica reporting a 91.5% containment rate.
  • Collections: Handling collections conversations across a client base of 2.5 million at Banco Caja Social.
  • Billing resolution: Resolving billing questions end to end for energy customers, as at PPC Energie.
  • Internal IT automation: Automating internal IT requests across thousands of stations at Petrol Ofisi.

Not ideal for

  • Small businesses or teams wanting self-serve signup with published pricing

Popular with

  • Large enterprises
  • Contact center leaders
  • Customer experience teams
  • IT operations teams

Screenshots

Key features

  • A/B testing
  • Pre-release testing and evaluations
  • Knowledge grounding
  • Agent-to-agent handoff
  • Multi-channel agents
  • Workspaces
  • Versioning and rollback
  • Reusable skills and catalog
  • Permissions
  • Automatic conversation tagging

Pros and cons

Pros

  • Covers voice, chat, email and documents with one agent platform.
  • Named large enterprise customers in telecom, banking and energy, with published results such as a 91.5% containment rate at Telefonica.
  • Enterprise controls including permissions, versioning with rollback, evaluations and guardrails.
  • Focus on non-English-speaking markets, with operations reported in 30+ markets.
  • Hands-on deployment teams rather than only self-serve tooling.

Cons

  • No published pricing, free tier or trial; evaluation requires contacting sales.
  • No public documentation or API reference found, so capabilities are hard to verify independently.
  • Aimed at large enterprises; unsuitable for small teams.
  • Supported languages and integrations are not listed on the website.

Pricing

Plans as listed by the vendor on . Check their site for current prices.

See wonderful.ai

Enterprise

Most popular

Custom/contact sales

Sales-led enterprise deployments with local deployment teams

  • Wonderful Agents
  • Wonderful Systems
  • AI Gateway
  • workspaces
  • permissions
  • evaluations

Our ratings

Scored out of 10 by the Finder Atlas editorial team.

7.1overall
Ease of Use
7.0
Feature Depth
8.0
Value for Money
6.5
Performance & Speed
7.5
Documentation & Support
6.5

Platforms

  • Web

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Release history

  1. Raised a $150M Series B at a reported $2B valuation, led by Insight Partners

    Raised a $150M Series B at a reported $2B valuation, led by Insight Partners.

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Frequently asked questions

What does Wonderful do?

Wonderful builds AI agents that handle customer service and internal employee tasks end to end, across voice, chat, email and documents, for large enterprises.

Does Wonderful publish pricing?

No. The website has no pricing page; enterprises contact the company for a quote.

Which industries does Wonderful serve?

Its site lists banking, telecommunications, healthcare, retail, utilities and insurance.

Who founded Wonderful?

Bar Winkler (CEO) and Roey Lalazar (CTO) founded the company in Tel Aviv in 2025, according to Index Ventures and press reports.

Which customers use Wonderful?

The site names Telefonica, Banco Caja Social, Petrol Ofisi, PPC Energie and OTE. Telefonica is cited with a 91.5% containment rate.

How is Wonderful deployed?

Through local deployment teams that build with the client, then hand over and move to the next use case.

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