Zaion

AI-powered voice and chat automation for insurance and banking customer service

Customer Engagement Growth Series B

Overview

Zaion is a conversational AI platform for carriers, mutual health insurers, and banking groups, offering automated voice and chat agents built for high-volume customer service operations. Founded in 2017 in Paris by Franz Fodere, the company designs and deploys proprietary AI models that handle inbound interactions across use cases including identity verification, routing, claims intake, reimbursement processing, and self-service. The current CEO is Stephane Fontana.

The platform runs on a 100% proprietary technology stack with an emphasis on data sovereignty and compliance with EU AI Act requirements. Zaion delivers AI voice agents (callbots), real-time agent assist tools, and conversational analytics dashboards. Solutions integrate with CCaaS platforms, CRM systems, and telephony infrastructure and are available via AWS Marketplace. In 2024, the platform processed 25 million calls with a natural language comprehension rate above 90%.

Zaion serves 50+ major banking and insurance clients across Europe and employs approximately 80 people. The company raised EUR 11M in a Series B round in January 2025 led by 115K, the venture arm of La Banque Postale, alongside existing investors Bpifrance, Capza, Fortino Capital, and PRO BTP Groupe. Total raised stands at approximately EUR 20M. The company is actively expanding into the Spanish market.

Products & Services

AI Agents (Callbots and Voice Bots)

Specialized voice and chat AI agents orchestrated for specific use cases and deployed on voice and digital channels. Agents handle customer entry and routing, identity and access verification, self-service and FAQ, forms and data collection, claims intake, reimbursement processing, and document management. Agents escalate to human advisors when needed. The platform can operate 150+ voice AI agents simultaneously.

Key Features

End-to-end automation of inbound voice and digital interactions
Natural language understanding (NLU) with proprietary Intention Data Bank
Seamless human escalation with full interaction context
Multi-channel deployment: voice, chat, and digital

Target Users: Insurance carriers, mutual health insurers, banking groups

Agent Assist

Real-time support tools for human advisors during live interactions. Provides interaction summaries, CRM action extraction, knowledge retrieval, and sentiment and event signal detection to reduce after-call work and improve advisor quality.

Key Features

Live interaction summaries and recommended next actions
Automated CRM data capture
Knowledge base assistance during calls
Sentiment and event signal detection

Target Users: Customer service agents and supervisors

Conversational Insights

Analytics and quality management toolset covering customer insights, automation performance tracking, and real-time monitoring dashboards.

Key Features

Automation rate tracking and satisfaction scoring
Quality management workflows
Real-time performance dashboards
Agent performance benchmarking

Target Users: Contact center managers, operations teams

Real Time Call Summary

Generative AI feature launched in 2023 that automatically summarizes calls in real time, reducing post-call work for advisors and enabling better CRM data capture.

Key Features

Instant post-call summaries generated automatically
Structured data extraction for CRM fields
Reduces after-call handle time

Target Users: Insurance and banking customer service teams

At a Glance

Founded: 2017
Headquarters: Paris, France
Employees: 51-200
Funding: Series B

Category & Focus

Category: Customer Engagement
Subcategories: Conversational AI Virtual Assistants Agent Assist Voice Automation
Insurance Verticals: P&C Commercial Health Group Benefits Specialty/E&S
Target Customers: Carriers, Brokers

Customers

MNH (French mutual health insurer)
La Banque Postale -- LUCY virtual assistant: 2M+ annual calls, 86% satisfaction rate
Butagaz
Verspieren (French insurance broker group)
Generation