Built for restaurant operators
Every feature was designed around the real workflows of multi-location restaurant groups.
Fully Managed Lakehouse
Your dedicated Azure Data Lake Gen2 storage, Databricks cluster, dbt transformations, and Airflow orchestration — provisioned, monitored, and maintained entirely by us. You never SSH into a server, write a YAML config, or debug a pipeline failure at 2am.
- Per-tenant isolated Azure containers
- Databricks job orchestration via Airflow
- dbt model versioning and lineage
- Automatic schema evolution
- Point-in-time recovery
Universal Source Connectors
Pre-built, battle-tested connectors for the most common restaurant technology stack. We handle authentication, rate limiting, pagination, and schema mapping — so your team just enters API keys and walks away.
- POS: Toast, Square, Clover, Aloha
- Reservations: OpenTable, Resy, SevenRooms
- Delivery: DoorDash, UberEats, Grubhub
- Workforce, Inventory, Accounting, Loyalty
- New connectors added monthly
Multi-Brand Hierarchy
Define your real organizational structure: the parent group, operating divisions, named concepts, and physical locations. Every metric, every report, and every access control rule flows from this hierarchy.
- Org → Brand → Location tree
- Cross-brand rollup analytics
- Per-location drill-down
- Hierarchy-scoped user permissions
- Inline editing with audit trail
Enterprise-Grade Security
Role-based access control with hierarchical scoping, sensitivity-level gating for critical actions, time-limited support elevation sessions, and a complete audit trail for every action across your tenant.
- Granular permission codes
- Scope: tenant / org / brand / location
- Sensitivity levels: low → critical
- Support session time-boxing
- Full immutable audit log
See it in action
Schedule a 30-minute demo and see Insights Engine with real restaurant data.
Book a Demo