Flavrr provides compact, high‑throughput robotic food‑preparation machines that automate cooking, ingredient dosing, and plating for quick‑service restaurants, delivery kitchens, and catering operators. The hardware integrates vision‑guided portioning, IoT sensors, and edge computing, while a cloud SaaS platform delivers real‑time monitoring, waste‑reduction analytics, and predictive maintenance on a pay‑per‑use model.
Funding
Funding not disclosed
Founders
Product
Problem
Quick‑service restaurants, delivery kitchens, and catering operators face chronic back‑of‑house labor shortages and rising wage pressures, which limit their ability to scale menus, maintain consistent portioning, and meet hygiene standards. Manual food preparation also generates excess waste and variable product quality, reducing profitability.
Solution
Flavrr delivers compact, high‑throughput food‑preparation machines that automate cooking, ingredient dosing, and plating for a broad range of menu items. The hardware integrates robotic actuation, computer‑vision‑guided portioning, and embedded IoT sensors to monitor temperature, humidity, and food safety parameters in real time. An edge‑enabled control software orchestrates the workflow, while a cloud‑based analytics layer aggregates operational data to provide usage dashboards, waste‑reduction insights, and predictive maintenance alerts. The system is offered as an equipment‑plus‑software‑as‑a‑service (EaaS) model, allowing operators to access the machines on a pay‑per‑use basis and subscribe to data‑driven optimization tools. This approach reduces back‑of‑house staffing by more than 35 % and enables 24/7 fresh output without compromising consistency or regulatory compliance.
Target Audience
Primary customers are quick‑service restaurant chains, third‑party delivery kitchen operators, and large‑scale catering services seeking to automate back‑of‑house operations and improve margin stability.
Features
- Modular robotic workstation (< 1 sqm footprint) capable of preparing up to 200 distinct menu items per hour
- Vision‑guided ingredient dispensing with ±2 g accuracy for portion control and HACCP‑compliant traceability
- Integrated thermal and humidity sensors linked to a PLC that enforces real‑time cooking curves and safety limits
- Edge computing node that runs deterministic motion control and synchronizes with a cloud API for remote monitoring
- SaaS dashboard delivering KPI visualizations (throughput, waste, equipment health) and AI‑based demand forecasting
- Automatic cleaning cycle and self‑diagnostic routines that reduce downtime and support predictive maintenance
- API‑first architecture compatible with POS and kitchen display systems for seamless order integration