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The driver-based financial planning engine for high-growth companies.

Jirav represents the 2026 gold standard in connected financial planning for the mid-market. Its technical architecture is built on a proprietary driver-based modeling engine that decouples financial logic from the rigid grid structure of traditional spreadsheets. This allows for multi-dimensional modeling where financial, operational, and workforce data interact in real-time. By 2026, Jirav has integrated advanced machine learning models to automate variance analysis and predictive trend detection, significantly reducing the manual effort required for monthly reporting cycles. The platform functions as a centralized data orchestrator, ingesting data from GL (General Ledger), HRIS, and CRM systems to provide a 360-degree view of business health. Its market position is unique as it bridges the gap between entry-level tools like QuickBooks and complex enterprise solutions like Anaplan, offering enterprise-grade sophistication with a much faster implementation timeline. It specifically targets CFOs and FP&A professionals who require agility in scenario modeling without the technical overhead of scripting or complex coding.
Jirav represents the 2026 gold standard in connected financial planning for the mid-market.
Explore all tools that specialize in forecast cash flow. This domain focus ensures Jirav delivers optimized results for this specific requirement.
Explore all tools that specialize in consolidate financial data. This domain focus ensures Jirav delivers optimized results for this specific requirement.
Explore all tools that specialize in generate financial reports. This domain focus ensures Jirav delivers optimized results for this specific requirement.
Explore all tools that specialize in scenario modeling. This domain focus ensures Jirav delivers optimized results for this specific requirement.
Logic built on mathematical relationships rather than cell references, allowing for dynamic model scaling.
Auto-elimination of intercompany transactions and currency conversion for global organizations.
Instantly clone a model to test 'Upside' or 'Downside' scenarios without affecting the base plan.
Synchronizes actual employee data with planned hires including fully burdened labor costs.
Automatic rollover of months where actuals replace projections, extending the forecast period.
Pulls deal probability data from CRMs to weight revenue forecasts.
Non-financial metric tracking (e.g., CAC, LTV, Magic Number) calculated from cross-platform data.
Connect your accounting software (e.g., QuickBooks, Xero, NetSuite) to import historical GL data.
Authenticate your workforce/payroll management tool (e.g., Gusto, Rippling) for headcount synchronization.
Map your Chart of Accounts (COA) to Jirav’s standardized reporting categories.
Define global drivers such as growth rates, churn, or tax assumptions.
Configure the 'Staffing' module by setting up salary logic, benefits, and hire-date triggers.
Build 'Bookings' drivers by connecting CRM data (e.g., Salesforce, HubSpot) to the revenue model.
Design custom dashboards for executive and department-level reporting.
Perform a backtest of the model against last year's actuals to verify logic accuracy.
Invite stakeholders and set granular permission levels for department budget owners.
Generate the first monthly reporting package and establish a rolling forecast cadence.
All Set
Ready to go
Verified feedback from other users.
"Users praise the speed of implementation and the visual dashboards, though some mention a learning curve for complex driver logic."
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