Solutioncy is a decision-intelligence platform that lets consumer brand teams ask business questions in plain English and receive trusted answers with full reasoning. It combines conversational analytics, explainable forecasting with P10–P90 confidence bands, and a governed logic layer that validates every metric against approved definitions. The platform serves leadership, revenue, sales, finance, and operations teams who need fast, defensible answers across past performance and future outlooks.
Funding
Funding not disclosed
Founders
Product
Problem
Consumer brand leaders often wait days for answers to critical business questions because the data sits across multiple systems and requires specialized analysts to extract. Forecasts are frequently produced from inconsistent spreadsheets, leading to conflicting numbers that no one trusts, while revenue problems are only discovered after the quarter is already lost.
Solution
Solutioncy provides a decision-intelligence platform that combines conversational analytics, explainable forecasting, and governed business logic into a single interface. Users can ask questions in plain English about past performance or future outlooks and receive instant answers with the reasoning behind every number. The platform includes a Forecast Studio that generates multi-horizon forecasts with P10–P90 confidence bands, backtested accuracy scores, and driver explanations. A Verified Answer Layer ensures every metric is validated against approved definitions, audit-logged, and access-checked, so numbers can be defended in boardroom discussions.
Target Audience
Primary users are leadership, revenue, sales, finance, and operations teams at consumer brands who need fast, trustworthy answers to business questions without waiting on data analysts or IT tickets.
Features
- Natural-language query interface with full conversation memory and follow-up support
- Forecast Studio with multi-horizon predictions, P10–P90 confidence intervals, and backtested MAPE accuracy reporting
- Verified Answer Layer that applies approved metric definitions, grain specifications, and audit logging to every query
- Automatic pattern detection that surfaces trends and anomalies worth further investigation
- Role-based access controls ensuring data visibility aligns with user permissions
- Cross-system data integration that unifies information from multiple sources into one queryable interface