Runway Financial
AI-powered financial planning and forecasting for modern finance teams
Paid·All audiences·API available
Key strengths
AI-assisted financial modeling and forecastingCollaborative planning across finance and business teamsReal-time data sync with accounting and HR systemsScenario planning and sensitivity analysisIntuitive spreadsheet-like interface with database power
Paid only
San Francisco, USA
Founded 2019
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Technical Documentation: Runway Financial
Integrations & Data Connectors
Runway connects to financial and operational data sources via native integrations:
- Accounting: QuickBooks Online, Xero, NetSuite, Sage Intacct
- HRIS/Payroll: Rippling, Gusto, ADP, Lattice
- CRM: Salesforce (for pipeline-driven revenue forecasting)
- Custom data: CSV/Excel import and REST API for bespoke data pipelines
Data Model Architecture
Runway uses a structured, multi-dimensional data model where metrics, dimensions, and time periods are first-class objects. This enables:
- Driver-based modeling: Link assumptions (e.g., headcount → salary expense) so changes cascade automatically
- Scenario branching: Fork assumptions into independent scenario versions without duplicating the entire model
- Audit trails: Every assumption change is versioned and attributed to a user
AI Capabilities
- Natural language query interface for asking questions against your financial model (e.g., "What is our runway if ARR growth drops to 5%?")
- Automated anomaly detection on actuals vs. forecast variance
- AI-assisted formula suggestions during model construction
API & Embedding
Runway exposes a REST API for teams that need to push custom data into models or extract results into downstream tools (e.g., BI dashboards, data warehouses). Authentication is handled via API keys scoped to workspace roles.