Local AI delivers AI‑driven platforms that convert complex data into clear, actionable information for specialized use cases. Its solutions include real‑time electric‑vehicle charging optimization and automated forest‑surveillance tools, helping utilities and environmental agencies in Cyprus, Greece, and Croatia make faster, data‑informed decisions.
Funding
Funding not disclosed
Founders
Product
Problem
Operators of electric‑vehicle (EV) charging networks and forest management agencies often rely on fragmented, low‑frequency data sources, making it difficult to plan infrastructure expansion, optimize station usage, or detect forest incidents promptly.
Solution
Local AI offers an AI‑driven digital platform that ingests high‑resolution satellite imagery, sensor feeds, and operational data to generate real‑time insights for EV charging network planning, station user assistance, and automated forest surveillance. The AI4RTC module provides dynamic load forecasting and optimal charging schedules for network operators, while the AI4CS mobile app delivers personalized charging station information to drivers. For forest monitoring, AI4FS applies computer‑vision models to satellite data to detect anomalies such as fires or illegal activities, enabling rapid response. All solutions are delivered through a unified cloud platform that visualizes actionable information via dashboards and APIs, supporting operators across Cyprus, Greece, Croatia, and Norway.
Target Audience
Primary customers are EV charging network operators, municipal planners, and forest management agencies seeking AI‑enhanced planning, operational efficiency, and incident detection.
Features
- Real‑time charging optimization using AI models that predict demand and balance load across EV networks
- Mobile application for EV drivers with station availability, pricing, and navigation assistance
- Automated forest surveillance employing satellite‑based computer‑vision to detect fires, deforestation, and other anomalies
- Integration of multi‑source high‑resolution urban maps (elevation, temperature, pollution, etc.) to enrich analytics without extensive sensor deployment
- Cloud‑hosted platform with customizable dashboards and API access for third‑party system integration
- Multi‑country deployment capability covering Cyprus, Greece, Croatia, and Norway