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Supporting investment insights with machine learning
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Project summary
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Situation
Delphia, an investment startup based in Toronto, needed a responsive website that could help users navigate investment offerings powered by the company’s innovative machine learning algorithms.Solution
EY teams helped launch Delphia’s new investment product and took brand direction to the next level by effectively transforming complex platform concepts into actionable information for the average investor. Our multi-disciplinary team of designers, content strategists, technologists and UX delivery professionals helped build an interactive, responsive web experience that included a visual design system, a component system written in React and page templates.“We can exceed expectations by predicting expectations.”
EY Teams
Our algorithm is different
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For big impact, for big dataDelphia benefited from a:
- Visual design system
- Page templates using the component library
TechnologyEY teams built a robust, scalable component library in React
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Every day we handle1.5m active predictions | 30k new predictions | 10k+ new features | 15b+ data points
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