Modernizing data infrastructure and enabling intelligent decision-making for one of the world’s leading investment firms.
Wilshire is a global investment firm managing over $100B in assets across institutional and retail clients. We partnered with their data and product teams to modernize their analytics stack, develop AI-powered features, and improve operational efficiency across investment workflows.
Weeks to launch from client brief
to MVP
Wilshire needed to revamp its legacy data systems to meet growing client demands for faster insights, deeper transparency, and more personalized reporting. Analysts and investment teams were spending a significant amount of time on manual data wrangling and ad hoc analysis due to disconnected tools and outdated architecture.
There was also a growing need to surface insights more proactively and explore the integration of machine learning and intelligent automation into their internal platforms.
We conducted a full discovery of Wilshire’s existing data architecture and collaborated with internal teams to identify high-friction points in the analytics and reporting pipeline. From there, we designed and implemented a modernized data infrastructure, built scalable APIs, and layered in AI-powered insights—including a recommendation engine for portfolio analysis and anomaly detection for risk monitoring.
Our work significantly reduced time spent on reporting and data prep, improved internal data accessibility, and introduced ML-enhanced functionality into client-facing tools. The platform now enables faster decision-making, better transparency, and creates the foundation for long term AI transformation across Wilshire’s product lines.
AI-powered internal analytics platform for enhanced decision-making
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