Solovis set out to give institutional investors something they’d never had before: a fast, intuitive way to model future-state portfolios with confidence instead of guesswork. In just 90 days—and in close partnership with Tonic3—Solovis moved from abstract idea to a high-fidelity, fully user-validated MVP that puts dynamic “what-if” scenario modeling directly in analysts’ hands. By pairing deep domain expertise with a specialized, seven-person strategy, UX, and engineering implementation team, Solovis eliminated manual workarounds, reduced delivery drama, and created a differentiated, AI-ready analytics engine that now powers faster, smarter investment decisions.
Solovis’s sophisticated institutional clients were operating in a "static" environment. While they had access to historical data, they lacked the power to generate dynamic "what-if" scenarios to understand the future state of their investments. This gap created a bottleneck in strategic agility—investors were forced to rely on manual modeling or guesswork rather than real-time data projections.
To bring "Sherlock" to life, we replaced traditional "code-and-pray" methods with The Weave—our proprietary blend of UX, Strategy, and Code.
While "Sherlock" is a projection module, we architected the data flows and UX framework to be AI-Ready. By organizing workflows and requirements today, we cleared the path for future automated predictive modeling and agentic insights.