Independently designing services, from backend logic and automation to distributed infrastructure. Explore the project descriptions and interactive architecture maps below.
A multi-node secure-access platform with a centralized control plane, subscription delivery, automated provisioning, configuration rollout, observability and custom client applications.
An AI platform with chats, files and workspaces, custom backend logic, a provider gateway, memory, document workflows and background jobs for long-running operations.
An independent platform for LLM tools and roles: capabilities, skill packages, external-source access and policies. The AI skills overlay is separate from tool calls through the MCP transport.
A deployment and operations layer for production systems: health checks, orchestration, network diagnostics, telemetry, queue-driven operations and infrastructure observability.
Centralized control. Distributed secure access.
VPN traffic: client → nodes → internet. DNS name resolution is a separate request. Arrows show the caller; responses return over the same connection. Internal-module connections represent calls within a service.
Models, memory, background jobs and governed tools.
Chat: AI Backend → Gateway → providers. Background jobs: AI Backend → Redis queue; workers consume jobs. The MCP skills overlay is a separate, optional connection. Arrows show the caller; responses return over the same connection. Internal-module connections represent calls within a service.