Top 10 Best Solvency Forecasting Software of 2026

Prophix fits solvency forecasting teams that need repeatable model execution, version control of assumption sets, and controlled re-runs across deterministic and scenario calendars. The workflow includes projecting actuarial projection cash flows from input assumptions, then consolidating outputs into capital adequacy reporting structures for internal review and supervisory submissions. Configuration controls support role-based access patterns so forecast authors, reviewers, and administrators can operate on shared models without overwriting each other’s work.

A tradeoff is that Prophix’s strength concentrates on forecast orchestration and reporting models rather than offering actuarial core engines that replace specialized reserving or economic scenario generators. Teams that already run a Monte Carlo simulation or risk engine elsewhere often use Prophix as the planning and solvency dashboard layer to normalize inputs, schedule runs, and produce consistent outputs for ORSA-style documentation cycles.

CCH Tagetik fits teams that need a single planning and reporting environment for group solvency consolidation and recurring statutory deliverables. The product’s differentiator in solvency forecasting is how forecast logic, consolidation structure, and reporting outputs can be orchestrated through managed model configurations rather than one-off spreadsheet chains. It is commonly used when scenario runs must feed downstream regulatory templates without rebuilding the workflow each cycle.

A tradeoff is that advanced solvency modeling still depends on disciplined setup of entity structures, input mappings, and scenario definitions so forecast outputs stay consistent across entities. It is a good fit for deterministic scenario testing and structured stress runs where throughput and repeatability matter more than ad hoc model experimentation.

Planful is a fit for solvency forecasting programs that require repeatable runs across entities and scenarios. It combines planning workflows with consolidation-style aggregation so group-level capital trajectories can be regenerated from the same inputs. Automated imports reduce manual re-keying between actuarial outputs and finance planning structures.

The main tradeoff is that Planful’s value concentrates on the planning workflow around capital projections rather than replacing a dedicated stochastic projection engine. It fits best when an organization already computes projected cash flows and risk capital metrics elsewhere and needs controlled scenario orchestration, downstream reconciliation, and reporting-ready outputs.

Anaplan is an operations planning environment that can model solvency and ORSA-style capital workflows through connected planning views and calculation logic. Its strength is structured what-if planning using model dimensions, scenario management, and repeatable calculation steps across multiple entities.

Integration depth is supported through an Anaplan API, extensibility via connectors, and batch-style data loading patterns that fit recurring reporting cycles. Governance is handled with role-based access controls and controlled model access so capital reporting changes can be managed by function.

Board runs solvency and capital forecast workflows by letting insurers model multi-period financial and risk drivers in an auditable planning process. It supports model-based scenario testing through configurable inputs, assumptions, and automated refresh of outputs for solvency-style cash flow and capital views.

Board’s governance layer focuses on controlled calculation runs, role-based access, and revision tracking around forecasting cycles. The fit is strongest when forecasting teams need repeatable scenario runs and consistent output structure for regulatory and internal capital planning deliverables.

Vena is a solvency forecasting tool used by insurers that need repeatable cash flow projections and structured scenario runs across lines of business. It focuses on workflow-driven planning, including configurable inputs and versioned outputs that support capital planning for Solvency II style projections.

The product is also used for aggregation across entities and views that feed regulatory-style metrics and internal reporting packs. Its fit depends on whether forecast logic can be modeled as configurable calculation flows rather than a specialized stochastic engine.

Agicap is a solvency forecasting software built around cash planning workflows and an automated cash position view across bank accounts. It converts operational and finance inputs into forecasted cash movements, then maps results to liquidity risk indicators for forward-looking capital planning.

The system supports scenario planning for deterministic variations and stress-style what-if runs, with export-ready reporting outputs for internal review and oversight. Agicap also offers an integration and automation surface that connects payment data and account statements to reduce manual forecast updates.

RapidRatings is an insurer-focused solvency forecasting tool built for translating policy, asset, and capital assumptions into projection outputs for solvency and forward-looking capital planning workflows. RapidRatings emphasizes scenario testing workflows that mirror actuarial cash flow and capital adequacy reporting needs, including deterministic stress paths and structured output sets.

RapidRatings is used to produce forecasted solvency trajectories and capital coverage views that support internal model style results and operational reporting cycles. Integration and automation support are centered on feeding assumption sets and extracting forecast outputs into downstream reporting or governance processes.

Moody's Analytics delivers solvency forecasting by translating actuarial cash flow projections into capital outcomes used for solvency planning and stress scenarios. The offering integrates Moody's risk and economic scenario inputs with insurer modeling workflows to support deterministic scenario testing and portfolio-level forward-looking capital views.

Moody's Cash Flow Forecasting is oriented toward repeatable projection runs that can feed reporting packs for capital adequacy and risk-based planning. Governance features center on controlled model execution and traceable assumptions so teams can rerun scenarios with consistent configuration.

ORTEC Finance is built for insurers that run forward-looking solvency forecasting across deterministic scenarios and stochastic projection engines tied to cash-flow projection outputs. Core capabilities focus on actuarial projection and capital analytics used for economic scenario testing, capital adequacy tracking, and regulatory-style capital rollups.

It supports multi-entity and group-level workflows that align projection assumptions, reinsurance recoverables, and capital results into reporting outputs used for solvency narratives. Administration and governance typically rely on controlled model configuration, repeatable run setup, and output traceability for audit trails.