D-Sight™: Decision-Ready Insights & Recommendation Automation Agents
Agentic AI decision systems that reason with decision knowledge graphs to unify enterprise data and automate insights and recommendations—so leaders know what to do now, not just what happened.
The Decision AI That Delivers
D-Sight™ is Cloverpop’s proprietary agentic decision engine, purpose-built to transform complex data into decision-ready recommendations.
Unlike traditional analytics or generic AI assistants, D-Sight™ agents are grounded in mapped decision graphs, connected across multiple data sources, and designed to answer the most critical question in decision-making: now what?
Features
Connected
D-Sight™ links structured and unstructured data sources — from POS and financials to research, forecasts, and human input — into a unified decision context.
Automated
Purpose-built AI agents analyze inputs against decision logic, KPIs, and constraints to surface risks, opportunities, and tradeoffs.
Ask Cloverpop
A context aware conversational AI interface that understands your question in business terms, connects it to the right data, and delivers clear answers leaders can trust
Benefits of D-Sight™
By connecting data, decision logic, and AI agents, D-Sight™ transforms how organizations make decisions, delivering speed, consistency, and measurable impact.
Eliminates the data-to-decision gap
Replaces dashboards with recommendations
Reliable Reco's, Zero Hallucinations
Trust through traceability and transparency
10x
Up to 10x faster decision cycles
30%
30% reduction in data and analysis costs
0 Hallucinations
Higher confidence in AI-supported decisions
Better Decisions, Better Results
~80,000
signals processed in real time
By the time risks showed up, it was already too late to act. Here's how one CPG company got ahead of them.
3-5%
increase in media ROI
Manual MMM synthesis across 20+ brands was slow, inconsistent, and eating analyst time. Here's what replaced it.
~2X
faster delivery
Costly brand tracker. Slow outputs. No clear link to decisions. Here's how that changed.