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Cloverpop Decision Platform is an enterprise Decision Intelligence solution that helps organizations make better, faster, and more consistent decisions. It structures complex decisions using playbooks and flows, integrates data and collaboration, and applies AI-driven recommendations through its D-Sight engine.
The platform creates a system of record for decisions, enabling organizations to learn from outcomes and continuously improve decision quality at scale.
| Plan | Price | Featured |
|---|---|---|
| Enterprise Platform | Custom Quote (Annual Contract) | Decision Intelligence platform, Decision Playbooks & Flows, Enterprise security |
| Decision Owner Licensing | Annual fee per Decision Owner (Custom Quote) | Unlimited decisions, AI-powered insights via D-Sight, Decision system of record |
| Team Participants | Included | Unlimited collaborators, Asynchronous decision collaboration, Transparency & inclusion |
| Decision Success Services | Custom Quote (Add-on) | Decision-Back training, Analytics-to-decision consulting, Hands-on enterprise support |
Price details: https://www.cloverpop.com/
Competitor |
Pros |
|---|---|
| Decision Lens | Cloverpop offers a more collaborative and workflow-driven experience, making it easier for large cross-functional teams to participate asynchronously. Its decision playbooks and flows reduce friction compared to Decision Lens’ heavier analytical orientation, while also providing a clearer system of record that tracks decision outcomes over time. |
| Expert Choice | Compared to Expert Choice’s focus on AHP modeling, Cloverpop is easier for non-technical users to adopt. It emphasizes decision velocity, collaboration, and institutional learning, rather than requiring deep expertise in decision science methods, which helps enterprises scale usage beyond specialist teams. |
| Anaplan | Cloverpop is more decision-centric out of the box, whereas Anaplan often requires significant model building and configuration. Teams can move faster with Cloverpop’s structured decision flows and AI recommendations without the complexity and cost typically associated with enterprise planning platforms. |
| Causal | While Causal excels at financial modeling, Cloverpop covers a broader range of strategic and operational decisions. It adds governance, collaboration, and a decision system of record, making it better suited for enterprise-wide decision processes beyond finance-focused scenarios. |
| Palantir Foundry | Cloverpop is significantly easier to deploy and use than Palantir Foundry. It focuses directly on decision-making rather than large-scale data engineering, allowing organizations to realize value faster with lower implementation overhead and less reliance on specialized technical teams. |
Competitor |
Cons |
|---|---|
| Decision Lens | Organizations that require very deep quantitative trade-off analysis may find Cloverpop less mathematically rigorous than Decision Lens. Cloverpop prioritizes speed, collaboration, and adoption, which can be a drawback for teams that want highly formalized decision modeling and optimization techniques. |
| Expert Choice | Expert Choice provides more transparency for users who specifically want AHP-based scoring models. Cloverpop’s abstraction and AI-driven recommendations may feel less controllable to analysts who prefer to manually tune every weighting and calculation in a traditional decision analysis framework. |
| Anaplan | Anaplan offers stronger capabilities for detailed financial planning and forecasting at massive scale. Cloverpop does not replace a full enterprise planning system and may require integration with tools like Anaplan for organizations needing highly granular financial and supply chain modeling. |
| Causal | Causal is faster and cheaper for lightweight scenario modeling, especially for startups or finance teams. Cloverpop’s enterprise focus, longer sales cycle, and custom pricing make it less accessible for smaller organizations with limited budgets or simpler decision needs. |
| Palantir Foundry | Palantir provides deeper data integration and advanced analytics for highly complex environments. Cloverpop may feel limited for organizations that want a single platform to handle raw data ingestion, transformation, and advanced analytics alongside decision workflows. |
