Rizlum AI
On-premise AI agents for insurance and banking, built on sovereign Small Language Models.
Overview
Rizlum AI is an AI agent platform for insurance carriers and mutual health insurers, offering document processing, voice, email, and fraud detection automation built on fine-tuned Small Language Models (SLMs). Founded in 2024 at Station F in Paris by three Ecole Polytechnique de Hanoi graduates -- Theo Pham, Quang-Linh Le, and Dang-Chuan Nguyen -- the company targets regulated sectors in France where data sovereignty and on-premise deployment are hard requirements.
The platform deploys SLMs with 2-7 billion parameters rather than large language models, allowing full operation behind the client firewall with no external API calls. Three studios -- AgentStudio, WorkflowStudio, and TrainingStudio -- allow insurers to configure pre-built agents, build no-code automation pipelines, and fine-tune models on proprietary data within a 48-hour retraining cycle. Deployment options include on-premise, private cloud, and SaaS.
Published case studies from French mutual insurers report 185,000 member integrations in under two months, 94% accuracy on handwritten document extraction, and a 700% ROI on a ChatAgent deployment. The company is a laureate of the French Government AMI IA program and has joined accelerator programs run by Google for Startups, OVHcloud, Microsoft for Startups, and Bpifrance.
Products & Services
AgentStudio
Interface for building and configuring AI agents from a pre-built catalog. Business teams can compose process automations using existing agent building blocks without writing code.
Key Features
- Pre-built agent catalog
- Configurable agent parameters
- No-code composition interface
Target Users: Insurance operations and IT teams
WorkflowStudio
No-code workflow editor for orchestrating modules, agents, and API calls. Connects Rizlum agents with existing enterprise systems including GED, CRM, and back-office platforms.
Key Features
- No-code pipeline design
- Multi-step orchestration of agents and API calls
- Integration with existing enterprise IT infrastructure
Target Users: Operations managers, business analysts
TrainingStudio
Fine-tuning platform allowing clients to retrain SLMs on proprietary data. Features a 48-hour retraining cycle with all data remaining within the enterprise perimeter.
Key Features
- Custom SLM fine-tuning on client data
- 48-hour retraining cycle
- Zero data exfiltration
Target Users: IT and data teams at insurance companies
DocInsight
AI document extraction agent supporting over 10 document types including medical invoices, work stoppages, handwritten documents, identity documents, prescriptions, Social Security attestations, bank account documents, and family records.
Key Features
- Greater than 94% accuracy on handwritten documents
- Supports 10+ document types
- On-premise processing with no third-party data sharing
Target Users: Claims processors, member services teams
VoiceAgent
Fully on-premise voice agent using a speech-to-text to SLM to text-to-speech pipeline with under 800ms latency. No data is transmitted to third-party voice APIs.
Key Features
- Under 800ms response latency
- 100% on-premise, no third-party voice APIs
- Full STT-SLM-TTS pipeline
Target Users: Contact center operators
CallInsight
Real-time call transcription with greater than 97% accuracy and automatic call summarization for contact center quality assurance, compliance, and coaching.
Key Features
- Greater than 97% transcription accuracy
- Automatic call summarization
- Quality assurance and compliance monitoring
Target Users: Contact center supervisors, compliance teams
ChatAgent
Conversational assistant using Retrieval-Augmented Generation (RAG) on client documentation. Deployed in omnichannel contexts to handle level-1 support queries.
Key Features
- RAG on client-specific documentation
- Omnichannel deployment (web, messaging)
- Reported 60-70% reduction in level-1 support calls
Target Users: Policyholder services, member support teams
EmailInsight
Email classification and intelligent attachment categorization with greater than 90% automation rate. Handles routing, prioritization, and content extraction from inbound email flows.
Key Features
- Greater than 90% automation rate
- Intelligent routing and prioritization
- Attachment categorization
Target Users: Back-office operations teams
FraudDetection
Documentary fraud detection using metadata analysis and AI-generated content identification, including pixel-level image manipulation detection in claims and onboarding documents.
Key Features
- Pixel-level image manipulation detection
- AI-generated document identification
- Metadata analysis
Target Users: Claims investigators, underwriting teams
At a Glance
- Founded
- 2024
- Headquarters
- Paris, France
- Employees
- 11-50
- Funding
- Bootstrapped
Category & Focus
- Category
- Claims Technology
- Subcategories
- AI Agents Document Processing Fraud Detection Customer Engagement Voice & Speech
- Insurance Verticals
- Health P&C Commercial P&C Personal
- Target Customers
- Carriers
Customers
- Unnamed French mutual insurer -- 185,000 member integration in under 2 months using DocInsight
- Unnamed French mutual insurer -- 50,000 annual invoice automation at 94% success rate
- Unnamed French mutual insurer -- ChatAgent deployment reporting 700% ROI
- Unnamed French insurer -- Claims processing reduced from 3-6 days to 5-10 minutes
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Last updated: 2026-06-08