AI FinOps
Costs are unpredictable -- tokens, models, and upstream API usage. You can't govern, secure, or optimize what you can't see.
Take Me to the Repo
AI costs are multi-dimensional -- usage-based, model-based, API call-based, input and output tokens, caching -- and no single vendor provides cross-platform cost visibility. Teams lack the ability to set budgets, thresholds, and alerts to prevent runaway costs. Many teams consume external APIs with no central visibility into aggregate spend. Leadership is demanding AI FinOps as a 2026 priority, but cost attribution to teams, projects, and specific capabilities does not exist.
Naftiko brings cost controls to the execution surface -- policy-driven budgets and attribution mapped to capabilities, not scattered across vendor dashboards. Cost-center labels propagate from the capability spec through Kubernetes resources to Kubecost and FinOps tooling. Billing granularity tags on consumed API operations and per-operation Prometheus metrics make spend observable at the granularity that matters -- by team, domain, capability, and consumer.
Build the Fleet You Need Today
Naftiko packages the open-source capability framework into a developer environment teams can actually ship with.
Capability Spec
Declarative YAML specification validated by JSON Schema that defines consumption, orchestration, exposure, governance, and deployment for each capability.
Framework
Java-based Docker runtime that interprets the capability spec and runs it as a live service. With CLI, VS Code, Backstage, and Docker Desktop extensions.
Fleet Coming in Q2
The governed layer where capabilities become discoverable, composable, observable, and cost-bounded across the organization.
Start small, scale smart
You can't optimize what you can't see.
Chart your next course
Context Engineering
