Adlega - 2026 Pricing, Features, Reviews & Alternatives

Adlega is a financial forecasting platform for software-as-a-service businesses. It replaces spreadsheet-based planning with driver-based operating models that generate thirty-six-month forecasts for monthly recurring revenue, operating expenses, cash flow projections and runway estimates. The platform presents detailed KPI dashboards alongside an AI-driven CFO assistant that delivers explanations for each financial metric. It targets founders, chief executives and finance teams from early stage through growth stage, particularly those transitioning away from spreadsheet templates in the absence of dedicated finance personnel.

The platform leverages a driver-based architecture in which business assumptions are entered via natural-language prompts and translated into interconnected financial statements, visualizations and key metrics that update dynamically when assumptions are modified. Forecasting features include a monthly recurring revenue waterfall analysis that tracks new, expansion, contraction and retained revenue with bridge reports formatted for investor review. A hiring plan module supports role definitions, salary inputs and start dates with payroll impacts flowing directly into burn rate, runway and profit and loss statements to illustrate the cost implications of personnel changes. Scenario planning tools enable side-by-side comparisons of staffing, pricing and retention strategies, while goal-seeking functionality allows setting of target outcomes and automatic calculation of the required driver values.

Real-time profit and loss reports, cash flow projections and runway countdowns display the projected zero-cash date and update with each model revision. Investor-ready outputs feature standard software-as-a-service metrics such as annual recurring revenue, net revenue retention, customer acquisition cost payback period and burn multiple in shareable formats suited for fundraising due diligence. The AI-driven CFO assistant transforms plain-language business descriptions into quantitative model assumptions, answers finance questions based on specific model data and provides traceable links to the exact drivers and calculations behind each response. Built-in software-as-a-service logic for revenue waterfalls, retention computations and cost payback safeguards against formula errors common in manual spreadsheet approaches.

Integration capabilities include connections to web analytics, advertising platforms and billing systems for automated synchronization of actuals, with additional data source links available as requirements grow. API access supports consolidation of multiple entities and is available for organizations managing widespread operations. Forecast-versus-actual comparisons, historical data imports and benchmark analysis tools further extend model insights. Collaborative features allow multiple stakeholders to work on shared financial models with configurable permissions for view and edit access.