PicoGrid is an AI infrastructure platform that enables users to deploy, manage, and connect machine learning models to real-world edge systems such as drones, sensors, and cameras. It provides a secure layer between hardware devices and AI logic, allowing for real-time insights and decision-making in critical operations. Unlike cloud-first models, PicoGrid supports decentralized deployments�ideal for field missions where bandwidth, power, or access is limited. The platform is tailored for high-stakes applications in defense, energy, logistics, and emergency response, where data needs to be processed locally and acted on instantly. 
     Performance Score
 A
 Content/Output Quality
 Real-Time & Tactical
 Interface
 Technical & API-Driven
 AI Technology
    - Edge AI
  - Computer Vision
  - Sensor Fusion
  - Real-Time ML Ops
  
   Purpose of Tool
  Deploy AI models to connected hardware for real-world field operations 
 Compatibility
  Web Interface + Hardware Integration (IoT, Drones, Cameras) 
 Pricing
 Custom Plans (Enterprise-Focused)
     Who is Using PicoGrid?
   -  Defense Agencies: Run AI models on drones and field sensors for real-time surveillance and target recognition. 
  -  Disaster Response Teams: Gather situational awareness using aerial footage, thermal imaging, and instant data fusion. 
  -  Logistics Operators: Automate inspection and tracking workflows in remote or constrained environments. 
  -  Public Safety Organizations: Integrate body cameras, drones, and vehicle feeds with AI to assist rapid decision-making. 
  
      Edge AI Deployment 
  Secure Hardware Integration 
 Real-Time Computer Vision
  Low-Latency Sensor Fusion 
  Field-Ready ML Operations 
 Drone & IoT Device Support
  Remote Model Updates 
  Encrypted Data Transmission 
     Is PicoGrid Free?
  PicoGrid is not a consumer-facing tool. It offers custom enterprise pricing based on hardware integrations, data usage, and operational scale. Pricing is tailored for defense, industrial, and public sector organizations. 
  PicoGrid Pros & Cons
      Built for field use and edge environments 
  Enables real-time, on-site AI decision-making 
  Highly scalable and secure infrastructure 
  Supports mission-critical, multi-device operations 
  Works in low-connectivity or power-constrained settings 
        Requires technical setup and integration 
  Not intended for casual or small-scale users 
  Pricing is customized, no public plan available