Pamir provides the Distiller platform, a combined software and hardware stack that gives AI agents full operating‑system context and direct control over device interfaces. Its custom Linux layer offers persistent chat history and nonstop runtime for AI coding assistants like Claude Code, while the hardware layer supplies USB‑C, I²C/SPI, UART, GPIO, PWM, Bluetooth, Wi‑Fi and other peripherals, enabling real‑time sensor reading, actuator control, and firmware flashing. Developers can edit code through a browser‑based VS Code environment or a native iOS app, delivering continuous, remote AI‑driven development without local installation.
Funding
Funding not disclosed
Founders
Product
Problem
Developers often rely on local machines or cloud IDEs that lack seamless integration with AI agents, limiting continuous code assistance, hardware interaction, and remote development flexibility. This fragmentation hampers productivity, especially when projects require direct access to peripherals or persistent AI-driven tooling.
Solution
Pamir offers the Distiller platform, a combined software and hardware stack that gives AI agents full operating‑system context and direct control over device interfaces. The Distiller Agent Layer provides a custom Linux environment optimized for AI coding assistants like Claude Code, with persistent chat history and uninterrupted runtime. The Distiller Hardware Layer equips the system with USB‑C, I²C/SPI, UART, GPIO, PWM, Bluetooth, Wi‑Fi, and an e‑ink display, enabling the AI to read sensors, drive actuators, and flash firmware automatically. Developers can access a full VS Code environment in a browser or via a native iOS app, allowing code editing and AI interaction from any device without local installation. This architecture creates a continuous, 24/7 AI coding companion that can both write code and manipulate hardware in real time.
Target Audience
Primary customers are software developers and DevOps teams that need continuous AI coding support, remote development environments, and direct hardware interaction for prototyping or testing.
Features
- Custom Linux layer tuned for AI agents, delivering full OS and hardware context
- Persistent chat history and nonstop agent runtime for uninterrupted assistance
- Direct hardware I/O support (USB‑C, I²C/SPI, UART, GPIO, PWM) with 8 GB RAM, 32 GB eMMC, Bluetooth, Wi‑Fi, and mic/speaker
- Remote development via browser‑based VS Code with Claude Code integration, no local setup required
- Native iOS app (beta) for controlling the AI agent from mobile devices
- Tunnel capability for secure internet access to the device from anywhere