Quick Sigorta and RabbitQA Win Best Ethical Risk Management in AI Output

The AI risk management model built on RabbitQA in collaboration with Quick Sigorta has won "Best Ethical Risk Management in AI Output" at The AI Awards 2026.

Developed without the use of real customer data, the system is being recognised as a new reference point for ethical and auditable AI practices in the insurance sector.

Quick Sigorta and Virgosol achieved international recognition with a model designed for the safe and auditable management of AI outputs. At The AI Awards 2026, one of the world's leading technology award programs, the two organisations took first place in the "Best Ethical Risk Management in AI Output" category.

Tested Without Real Customer Data

As AI adoption grows across the insurance sector, data security, regulatory compliance, and the auditability of AI outputs have become increasingly critical. The model built on RabbitQA and Loadmance offered a structural response to each of these challenges.

The system generated verifiable synthetic datasets for testing purposes, eliminating the need for real customer data throughout the process. An AI output control layer continuously monitored model results against reliability, bias, and compliance criteria.

Performance testing simulated real user behaviour without accessing any personal data, enabling measurement of system performance under load and stress conditions while targeting zero data leakage risk.

"We are turning AI into a manageable capability"

Quick Sigorta CEO Eyüp Özsoy noted that trust is the most important asset in the insurance sector and described transforming AI from a risk factor into an auditable enterprise capability as a strategic priority.

Özsoy added that the model moves ethical AI beyond a guiding principle, translating it into an operationally applicable standard.

"We brought ethical AI into operational reality"

Miraç Emektar, Co-founder and Co-CEO of RabbitQA, said the award demonstrates that work which moves ethical AI from rhetoric into practice is finding recognition at an international level.

Emektar noted that building a test ecosystem capable of operating without real customer data and in full regulatory compliance represents a significant engineering achievement for the industry.