Tuning Engines

Tuning Engines is a unified AI control and governance layer for teams building production intelligence across models, agents, tools, and fine-tuned systems. It brings together the full AI lifecycle in one governed platform: inference, model routing, fallback policies, fine-tuning jobs, datasets, evaluations, model imports and exports, custom models, agents, MCP servers, reusable skills, guardrails, AGT YAML policies, data capture, runtime traces, usage analytics, API keys, billing, team roles, and integrations. Developers get OpenAI-compatible APIs, Anthropic-compatible routes, CLI workflows, MCP access, coding-agent integrations, and resource catalogs for models, agents, tools, and skills. Teams can connect Claude Code, OpenCode, Aider, Cline, Roo, Continue.dev, Cursor, VS Code, Windsurf, and other AI workflows through a single governed platform. Admins get the controls needed for production: role-based access, per-key budgets, rate limits, routing profiles, fallback rules, guardrails, policy-as-code, credential sources, auditability, usage traces, billing controls, tenant isolation, and team management. Tuning Engines is built to help organizations move beyond isolated AI experiments into a secure, observable, cost-aware, and extensible AI operating layer where models can be trained, evaluated, routed, governed, and used by agents and tools at scale.

Tuning Engines is an AI Workforce Management System that manages software agents and robots like a traditional workforce. It provides a unified platform for oversight, compliance, and observability, ensuring that AI operations are performed securely and efficiently. The system allows real-time tracking of actions and spending, empowering teams to govern both AI agents and physical robots under a single policy framework. Users register and credential both software agents and robots as managed workers. The control plane routes work to agents and robots, enforces policies in real-time, and monitors performance with real-time telemetry. Users can supervise actions, evaluate outcomes against business targets, and derive insights to continuously improve their AI workforce effectiveness. Tuning Engines is aimed at enterprises looking to streamline and manage their growing AI workforce, including CFOs, CIOs, security teams, and operations leaders. It provides them with tools to measure costs, ensure compliance, and improve overall performance across both software and embodied robots.