UNLESS is a conversational AI platform designed for regulated industries, enabling finance, insurance, and healthcare companies to implement compliant AI assistants within their existing systems. The platform addresses the high failure rate of AI pilots in these sectors by providing a no-code solution that ensures adherence to EU regulations while enhancing customer support efficiency through automated ticket deflection and reduced case handling times.
Funding
Funding not disclosed
Founders
Product
Problem
Highly regulated industries like finance, insurance, and healthcare face significant challenges in adopting AI due to stringent compliance requirements and the risk of data breaches. The complexity of integrating AI into existing legacy systems, coupled with regulatory uncertainty, often leads to failed AI pilot projects and delayed implementation.
Solution
UNLESS offers a no-code conversational AI platform designed to enable regulated industries to deploy compliant AI assistants within their existing infrastructure. The platform streamlines the process of building and deploying AI solutions by providing tools for knowledge base integration, AI model training, and continuous quality assurance. By adhering to regulations like GDPR and the EU AI Act, UNLESS ensures data privacy and security while automating customer support, reducing ticket handling times, and improving overall operational efficiency. The platform's architecture includes features like data segregation, privacy vaults, and autonomous quality assurance systems to maintain compliance and data integrity.
Target Audience
The primary target audience includes finance, insurance, and healthcare companies in Europe seeking to implement AI-driven customer support and internal assistance solutions while adhering to strict regulatory standards.
Features
- No-code platform for designing, training, and deploying AI assistants
- 50+ connectors for integrating with existing knowledge bases, CRMs, and ticketing systems
- AI-powered quality assurance for continuous feedback on documentation structure and accuracy
- Customizable component templates and API for building custom AI assistant functionalities
- Privacy vaults for secure storage of Personally Identifiable Information (PII)
- Real-time data management and audience-based access control
- Autonomous testing procedures and sentiment analysis for monitoring AI conversation quality
- Globally distributed infrastructure with DDoS protection and guaranteed uptime