Business
Articles
Oct 01, 2024
How accurate is facial age estimation?
“How accurate is it?” is the first question regulators, businesses and users tend to ask about facial age estimation. To date, we have mainly presented the technology’s Mean Absolute Error (MAE) as a proxy for accuracy. It’s an intuitive way to understand how accurate a model is. We can say it’s accurate to 1.3 MAE for those aged between 13 and 17 years or 2.5 MAE for those aged between 6 and 70 years. However, the answer is slightly more complicated. Following the COVID-19 pandemic, many people will be more aware of the terms ‘true positive’ and ‘false negative’
Case studies
Sep 26, 2024
How the University of Sheffield uses Yoti to complete right to work checks in just 5 minutes
“With Yoti’s solution, we are delivering an efficient, accurate and streamlined right to work process; improving the overall candidate experience and meeting compliance with ease.” Rachael Eustice and Jo Schofield HR & Recruitment Services The university of Sheffield is renowned for the excellence, impact and distinctiveness of their research-led learning and teaching. We helped them: Make their onboarding processes more efficient for both successful candidates and the hiring department. Enhance the candidate experience while maintaining the highest levels of compliance. Solution: Right to work Industry: Education Read the case study
Articles
Sep 24, 2024
How Yoti’s facial age estimation is used across different industries
Checking users’ ages has never been more critical for businesses catering to diverse audiences. However, they’re faced with the challenge of effectively verifying the ages of their users whilst maintaining seamless and user-friendly experiences. Yoti’s facial age estimation is a secure, privacy-preserving way to do just that. Our technology is used across a variety of industries, both online and in-person. This includes retail, social media, dating, gaming, gambling and financial services. In this blog, we explore how businesses are using facial age estimation to create safer, more positive experiences for their users. What is facial age estimation? Facial
Case studies
Sep 20, 2024
How Yoti and Sterling automated employment screening checks
“This partnership is a perfect example of how digital identity solutions can intersect with everyday processes to streamline, simplify, and elevate experiences for users. The collaboration with Yoti has been exciting and created a foundation for ongoing innovation as digital identity driven solutions are adopted globally, and pre- and post-hire use cases unfold.” Steven Smith President International at Sterling Safety and trust are at the centre of Sterling’s mission. Sterling relies on rigorously tested processes, proven best practices, unparalleled knowledge of a highly regulated and complex sector, and an unwavering commitment to keep companies and their workforces safe.
White papers
Sep 10, 2024
Facial Age Estimation white paper
Making it faster and safer to prove your age Our age estimation technology accurately estimates a person’s age by looking at their face. We built it to give everyone a secure and private way of proving how old they are in different everyday scenarios: from age checking on social platforms and online stores, to supermarket self-checkouts, bars and clubs. This privacy-friendly approach to age verification doesn’t require any personal details or documents, and all information is instantly deleted once someone receives their estimated age – nothing is ever viewed by a human. Key takeaways
Case studies
Sep 03, 2024
How Pioneering People digitised all identity checks
“Since implementing Yoti and having them check our 40k+ users’ identities, our experience so far has been seamless. Being a fintech platform where one of our main USPs is speed, it was vital that we partnered with a company that also valued that, alongside quality.” Rita Kastrati CEO at Pioneering People Pioneering People is a fintech matchmaking platform, connecting verified companies with verified workers. Pioneering people pays workers within 1-2 days of completing their shift and has a minimum hourly payment of £13.50 (above London Living Wage) per hour for all shifts. They work with companies in