awaBerry - The AI-Native Device Platform

What is awaBerry - The AI-Native Device Platform

awaBerry is an AI-native device automation platform designed to turn any device into an AI-controllable endpoint. It provides secure and seamless remote access, enabling users to connect, control, and automate devices from anywhere. The platform integrates AI agents, scripts, and pipelines with real hardware without requiring VPNs, open ports, or inbound network exposure.

How to use awaBerry - The AI-Native Device Platform

1. Connect Devices: Enroll any Linux, macOS, Windows, or Docker container device in minutes. This process does not require opening firewall ports or installing a VPN. Headless installation is supported for embedded hardware.
2. Access Remotely: Utilize the web dashboard for secure remote access. This includes Web SSH, Remote Desktop (VNC/RDP), web-based file transfer, and Zero-Trust Port Forwarding for any TCP service.
3. Automate with AI: Leverage the Agentic API to expose devices as secure HTTPS endpoints. This allows AI agents, scripts, and collaborators to interact with devices with scoped permissions. Use the Smart Automation Framework to describe tasks in plain English, which are then translated into scripts and run locally on your hardware.

Features of awaBerry - The AI-Native Device Platform

• AI-Native Device Platform: Connects AI agents, scripts, and pipelines to real hardware.
• Zero-Trust Remote Access: Secure access to devices without VPNs or open ports.
• MCP Server & Agentic API: Enables programmatic device access and AI integration.
• Smart Automation Framework: Translates plain English into executable scripts for automated tasks.
• Device Enrollment: Supports Linux, macOS, Windows, Docker containers, and SoC devices.
• Headless Installation: Facilitates setup on embedded hardware.
• Web-based Access: Includes Web SSH, Remote Desktop, and file transfer.
• Zero-Trust Port Forwarding: Securely connects to any TCP service.
• Local AI Execution: Keeps data and compute costs under user control.
• Fleet Management: Centralized dashboard for managing multiple devices.

Use Cases of awaBerry - The AI-Native Device Platform

• IT Professionals & Sysadmins: Secure remote access and management of servers and workstations.
• Developers & DevOps: CI/CD pipelines, infrastructure management, and device-as-a-compute-node scenarios.
• Data Scientists & AI Engineers: Running ML workloads, accessing GPU workstations, and managing data science workflows.
• IoT & Edge Computing: Managing and automating edge devices without complex network configurations.
• Business Automation: Automating tasks like invoice processing, price monitoring, and data extraction from legacy systems.
• Healthcare IT: Securely accessing and processing sensitive data while maintaining compliance.
• Researchers & Academia: Accessing and controlling research hardware remotely.
• Freelancers & Consultants: Accessing their workstations and project devices from anywhere.
• Hobbyists: Connecting and controlling personal projects and devices.

Pricing

awaBerry offers different plans including Commercial Usage and Private/Research usage. Specific pricing details are available on the "Plans" section of the website, with options for free tiers and scaling as needs grow.