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Yosh.AI

Yosh.AI automates contact centers and e-commerce with an end-to-end GenAI platform (voice/text agents, in-chat recommendations) — saves up to 50% of costs.

Meetings, Notes & Conversation Intelligence, Customer Support, Success & Service Automation, AI M...

Yosh.AI Review 2026: The revolution in automated customer service?

Special Feature Review & Review Ideal for Omnichannel GenAI Platform (Voice & Text) 4.5/5 — Strong Google Cloud integration but limited public user reports. Large companies with a high volume of contact centers.

Introduction & Conclusion

Yosh.AI is a specialized conversational AI platform that helps companies automate communication in contact centers through generative AI. With a reduction in operating costs of up to 50% and a high level of accuracy for complex requests, Yosh.AI offers a robust solution for the enterprise sector, but requires targeted evaluation due to individual pricing.

Core features of the AI platform

GenAI Omni Insights Platform

This component is used to analyze customer inquiries in real time. It extracts valuable insights from conversations to identify trends and continuously optimize contact center performance.

GenaIrator bot (no-code platform)

With the GenAirator bot, companies can create their own AI bots without programming knowledge. The platform uses leading models such as Google Gemini and Vertex AI to enable natural dialogs.

Voice & Text AI Agents

The voice and text agents automate workflows such as answering FAQs, IVR routing (call forwarding), and e-commerce processes. Particularly noteworthy is the visual search, which allows customers to find products by uploading images.

Practical use cases 2026

  • Retail (CCC S.A. & LPP): Automating customer inquiries via Google Business Messages and voice assistants in multiple countries.
  • Insurance (AVIVA): Use of AI agents for IVR routing of claims with proven accuracy of 88% in the pilot phase.
  • Pharmaceutical wholesaler (Neuca): A voicebot that recognizes and processes over 20,000 different drug names.

Competitive pricing & value analysis

Yosh.AI does not publish standard prices. The costs are based on individual enterprise offerings, which is less transparent compared to SaaS solutions with fixed tariffs (such as smaller chatbot providers). In competition with giants such as IBM Watson or Accenture Consulting, Yosh.AI stands out due to its deep specialization in the Google Cloud Stack and the award as 'Google Cloud Partner of the Year. ' Potential buyers should start a pilot test (POC) to validate the promised efficiency gains in their own environment.

Yosh.AI: The future of AI-powered customer service in 2026

Unique Feature Review & Review Ideally suited for GenAirator Bot (No-Code) 4.5/5 - High efficiency but LLM risks Enterprise Contact Center

synopsis

Yosh.AI provides a powerful suite for automating customer service using generative AI. With a cost reduction of up to 50% and seamless Google Cloud integration, it is a leading solution for large companies. Users protect the no-code platform, while technical risks such as hallucinations must be considered.

Positive user insights

  • Easy to create: On G2, users praise the ability to create their own bots with specific knowledge databases without code.
  • scalability: Case studies (e.g. CCC S.A.) show successful use in several countries at the same time.
  • Cost efficiency: According to the manufacturer, automation leads to massive savings in the personnel area of contact centers.

Critical user insights

  • Content errors: The company itself is warning of the possibility that the AI is generating false information (hallucinations).
  • Privacy concerns: Using LLMs poses potential data security risks that must be managed proactively.
  • Price transparency: There is a lack of publicly available pricing models, which makes it difficult to compare with competitors.

Employees

22

Followers

2097

Rewards

Key Customers

CCC S.A., LPP S.A., Markerstudy Group

Key Competitors

Ada, LivePerson, Replicant

News

Yosh.AI achieved significant recognition by winning the World Health Organization's #Buildfor2022 hackathon for their 'Coronavirus Info' solution and was also awarded the Fashion Innovation Award 2019, showcasing their commitment to innovation in health and fashion.

LinkedIn

WHAT WE DO We increase sales and optimize the cost through automation of contact centres with conversational AI. through innovative AI-based solutions including: intelligent chatbot Visual search engine personalization predictive recommendation engine. HOW WE DO IT We increase sales through using personalization to grow engagement Thanks to detailed analysis of user preferences (profiling) and innovative ways of getting user interest (conversational commerce, visual search). We optimize costs through automation using AI solutions. WHAT DO WE OFFER Custom made solutions designed specifically for fashion retail stores including: Pre-designed AI chatbot Visual search engine showing similar products Image Recognition Solution for Auto-Tagging Text search redesigned for fashion

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