1.98 mean absolute error for ages 18–24 Age Estimation with AI
A leading age verification company wanted a more accurate age estimation system.
Read the case studyA leading private equity firm wanted cutting-edge generative AI automation in one of its portfolio companies, a product manufacturer, to boost efficiency and competitiveness. Here’s how we helped.
Around
850hours
of work saved every month
The opportunity
Our client, a prominent private equity firm, recognised the transformative potential of generative AI across its portfolio. It partnered with Exometrics to develop a state-of-the-art manufacturing workflow automation system for a mid-sized product manufacturer in that portfolio.
The goal was to significantly reduce manual effort, minimise errors and accelerate processes, using a combination of traditional automation techniques and cutting-edge AI technologies.
Our solution
We designed a modular, AI-enhanced workflow automation system built on a robust infrastructure. Our approach combined traditional automation with advanced AI to address four specific challenges.
The cloud, tooling and machine learning frameworks behind the system.
Results
850hours
of work saved every month
37%
more production capacity
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