Problem: Up to 80% of the time spent on building AI algorithms consists of non-complex, time-consuming, daunting, and manual tasks of data preparation which is done by CTOs, engineers and data scientists today.  

Solution: Our ambition is to offer the best ethical human-powered data annotation service through our know-how tailored to the customer’s domain streamlining and enhancing the customer experience. Benefits for the customers are evident - resource optimization, flexibility, and no need to worry about quality assurance, software or documentation. Naya's solution stands out for its time-saving, socially responsible, and customized approach. We are redirecting the focus of companies technical resources to drive innovation and strengthen the business' competitive advantage. 

USP: The AI and data labeling markets are growing quickly, yet unethical practices have led many EU companies to face compliance challenges, like the "Transparency Act." A focus shift from quantity to quality highlights social sustainability, promoting quality-focused work without time pressure. Naya's unique approach employs women from slum areas to deliver high-quality data to customers, distinguishing its solution in today's market.