Adri AI develops specialized insurance policies that provide financial guarantees against performance failures, bias, copyright infringement, and misinformation generated by AI systems. This offering enables AI companies to mitigate risks and enhance client trust by compensating for potential financial losses linked to their AI products.
Funding
Funding not disclosed
Founders
Product
Problem
AI systems can fail to meet performance expectations, exhibit bias, infringe on copyrights, or generate misinformation, leading to financial losses for users and hindering the adoption of AI solutions. Traditional insurance policies often lack the specificity to cover these novel AI-related risks.
Solution
Adri AI provides specialized insurance policies that offer financial protection against specific risks associated with AI system performance. These policies cover failures to meet agreed-upon KPIs, bias and discrimination, copyright infringement, and the generation of factually incorrect information by generative AI. By offering insurance-backed performance guarantees, Adri AI enables AI companies to build trust with clients, close more deals, and differentiate themselves from competitors. The company's AI insurance policies act as a marketing strategy, signaling the AI product's reliability and providing downside protection to clients.
Target Audience
Adri AI's primary customers are AI companies across various industries (e.g., Agritech, Climate-tech, Fintech) seeking to offer performance guarantees and build trust with their clients, as well as companies undergoing SAP ERP migrations.
Features
- AI Performance Guarantee: Compensates clients for financial losses if the AI system fails to meet agreed-upon KPIs.
- AI Fairness Guarantee: Covers financial losses due to bias and discrimination caused by the AI system.
- AI Copyright Guarantee: Protects clients from financial losses resulting from copyright infringement committed by the AI system.
- Gen-AI Factual Correctness Guarantee: Compensates clients for financial losses due to misinformation generated by generative AI systems.
- AI-guided questions: AI agents dig deeper into client's business processes and catch every critical detail.
- Automated verification: AI ensures that implementation design aligns with recommendations.
- Integration point identification: Immediate insights into inter-module dependencies and third-party system connections.
- Proactive conflict detection: Spot and resolve requirement inconsistencies early to prevent costly implementation delays.