Nasiko provides an open runtime platform that helps enterprises manage AI agents across models, providers, frameworks, and teams. Its platform brings together three core functions: tracking and controlling costs, coordinating multi-agent workflows, and governing what agents can access and do. TokenOps forecasts run costs before execution, monitors spending in real time, routes requests to suitable models, and can halt or escalate runs that exceed defined limits or show risky behavior.

Runtime Controls apply policies at the gateway, including tool and data restrictions, provider allowlists, budget and retry ceilings, approvals for sensitive actions, and emergency shutdowns. Nasiko also records agent activity, policy decisions, violations, and exceptions to support review and audit needs. Its Multi-Agent Harness lets teams compose and run workflows across the models, providers, and frameworks they already use, with provider switching, state across steps, and traces of handoffs and tool calls. The broader platform includes an LLM Router, MCP Gateway, and Artifact Registry, helping organizations gain visibility and control without replacing their existing agent infrastructure.