Vioneta provides an edge AI platform that integrates sensors, cameras, and machinery into a unified, offline‑first system for real‑time analytics and automation. The solution supports interoperable sensor protocols (LoRa, RS485/Modbus, IP) and on‑device vision tasks such as wellness analytics and anomaly detection, enabling automated irrigation, ventilation, and lighting through configurable rules and schedules. Deployable containerized modules are pre‑built for vineyards, greenhouses, poultry, and pig farms, delivering actionable insights without internet connectivity.
Funding
Funding not disclosed
Founders
Product
Problem
Agricultural and livestock operations often rely on fragmented sensor networks and cloud-dependent analytics, which can be costly, introduce latency, and fail in areas with limited internet connectivity. This hampers timely decision‑making for irrigation, climate control, and animal welfare, leading to inefficiencies and potential losses.
Solution
Vioneta offers an edge AI platform that consolidates diverse sensors, cameras, and machinery into a single on‑premise system, delivering real‑time analytics without requiring internet access. The platform runs vision models directly on the device to provide wellness analytics, weight estimation, and anomaly detection for crops and livestock. Users can define custom automation rules and schedules to control irrigation, fertigation, ventilation, and lighting based on sensor inputs. Containerized application modules are pre‑configured for specific use cases such as vineyards, greenhouses, poultry, and pig production, enabling rapid deployment. Data from interoperable interfaces—including LoRa, RS485/Modbus, and IP cameras—are processed locally, ensuring low latency and continuous operation even in remote environments.
Target Audience
Primary customers are commercial growers, greenhouse operators, and livestock producers who need integrated, low‑latency monitoring and automation solutions for crop and animal management.
Features
- On‑device AI vision for wellness monitoring, weight estimation, and anomaly detection
- Support for interoperable sensor protocols (LoRa, RS485/Modbus, IP cameras) and environmental parameters (CO₂, NH₃, temperature, humidity, flow, leaf wetness)
- Offline‑first architecture that provides real‑time insights and automation without internet connectivity
- Rule‑based automation engine for irrigation, fertigation, ventilation, and lighting control
- Containerized, industry‑specific modules for vineyards, greenhouses, poultry, and pig production
- Asset monitoring with RFID identity, gate tracking, and loss‑prevention capabilities