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Title
Wonderful cuts enterprise customer service costs up to 70% with multilingual Gemini voice agents
…nto 30 multilingual markets Enables deployment of AI agents in days, not months Helps companies cut customer service costs by up to 70% Extracts key answers from huge knowledge bases in realtime Multi-modal capabili…
Description
Wonderful built enterprise-grade AI agents on Google Cloud's Gemini and Vertex AI that operate across voice, text, and email in dozens of languages and local dialects, expanding across EMEA markets including Arabic, Czech, French, Greek, Dutch, and Italian. Early deployments let contact centers handle thousands of simultaneous conversations, cutting enterprise costs by around 70% per minute of AI-handled call or chat, and one banking client built a promotional AI agent in four days versus the weeks it would have taken 50 people previously.
…rsations, improving containment rates while reducing response times and costs. "On average, every minute of a call or chat handled by an AI agent reduces enterprise costs by around 70%," Winkler says. Wonderful serves large enterprises, providing the infrastructure…
…esses while aligning naturally with local languages and cultural expectations." Wonderful has already expanded to multiple EMEA markets, with more planned over the next year, supporting languages such as Arabic, Czech, French, Greek, Dutch, and Italian. "Our aim is to combine technological excellence with deep local adaptation," Wi…
Company
Wonderful
Wonderful case study | Google Cloud Page Contents Meet the startup bridging the AI transformation gap across market…
Country
Israel
…er and business interactions across languages and regions. Industry: Technology Location: Israel Products: Google Cloud , Cloud Storage , Compute Engine , Gemini , Google Kuber…
Industry
Technology & Software
…rises automate customer and business interactions across languages and regions. Industry: Technology Location: Israel Products: Google Cloud , Cloud Storage , Compute Engine , Gemi…
Problem
The majority of large language models are trained on English-language content, meaning many AI solutions are optimized for only a small share of the world's markets; one-size-fits-all gen AI could not adapt naturally to local languages and cultural expectations across the dozens of markets global enterprises serve.
…enterprises are now using generative AI in their day-to-day business functions. But the majority of large language models (LLMs) are trained on English-language content, meaning many solutions are optimized for only a small share of the world's markets. From the start, Wonderful saw the limitations of one-size-fits-all gen AI. Foun…
Solution
Wonderful built enterprise-grade AI agents on Google Cloud's Gemini and Vertex AI that operate across voice, text and email in dozens of languages and local dialects, using a real-time multimodal voice pipeline that stitches together speech and reasoning models, a Zero Data Retention configuration for in-memory-only processing, and Compute Engine, Cloud Storage and GKE for its full Google Cloud deployment.
…several weeks." Wonderful uses Vertex AI to support model orchestration, while Gemini forms a crucial part of the solution's real-time voice pipeline, which stitches together multiple speech and reasoning models to produce human-like interactions across dozens of languages. A Zero Data Retention (ZDR) configuration ensures that all data processed is ha…
…reasoning models to produce human-like interactions across dozens of languages. A Zero Data Retention (ZDR) configuration ensures that all data processed is handled in-memory only. The company has expanded to a full Google Cloud deployment, leveraging Compute…
…(ZDR) configuration ensures that all data processed is handled in-memory only. The company has expanded to a full Google Cloud deployment, leveraging Compute Engine , Cloud Storage , and Google Kubernetes Engine (GKE) to manage its operations. Wonderful is also developing AI agents that can handle a wider range of enterpr…
Business value
Early deployments helped contact centers handle thousands of simultaneous conversations, improving containment rates while reducing response times and costs, with every minute of a call or chat handled by an AI agent reducing enterprise costs by around 70%; one banking client created a promotional agent in just four days versus the several weeks it would have taken 50 people.
…h intelligence and real-time efficiency—it was one or the other," Winkler says. Early deployments helped contact centers handle thousands of simultaneous conversations, improving containment rates while reducing response times and costs. "On average, every minute of a call or chat handled by an AI agent reduces ente…
…banking clients created a promotional agent in just four days," Winkler says. "Before, that would have taken 50 people several weeks." Wonderful uses Vertex AI to support model orchestration, while Gemini forms a…
AI capabilities
Conversational AI, Agentic AI
…, Cloud Storage , and Google Kubernetes Engine (GKE) to manage its operations. Wonderful is also developing AI agents that can handle a wider range of enterprise functions, such as insurance claims, price requests, summarizing policy documents, and up…
Business functions
Customer Service & Support
…sistently delivered." Powering real-time, multilingual intelligence with Gemini The company's initial focus was customer service, with the emergence of real-time multimodal models solving the latency issues t…
Technology
Gemini, Vertex AI, Compute Engine, Cloud Storage, Google Kubernetes Engine (GKE)
…nteractions across languages and regions. Industry: Technology Location: Israel Products: Google Cloud , Cloud Storage , Compute Engine , Gemini , Google Kubernetes Engine (GKE) , Vertex AI menu Overview Solutions Products Pricing Resources Docs Support Contact us …
Deployment model
cloud
…(ZDR) configuration ensures that all data processed is handled in-memory only. The company has expanded to a full Google Cloud deployment, leveraging Compute Engine , Cloud Storage , and Google Kubernetes Engine (GKE)…
Deployment options
cloud
…(ZDR) configuration ensures that all data processed is handled in-memory only. The company has expanded to a full Google Cloud deployment, leveraging Compute Engine , Cloud Storage , and Google Kubernetes Engine (GKE)…
Headline outcome
…rsations, improving containment rates while reducing response times and costs. "On average, every minute of a call or chat handled by an AI agent reduces enterprise costs by around 70%," Winkler says. Wonderful serves large enterprises, providing the infrastructure…
Use case type
Conversational assistant
…h intelligence and real-time efficiency—it was one or the other," Winkler says. Early deployments helped contact centers handle thousands of simultaneous conversations, improving containment rates while reducing response times and costs. "On avera…
