See where your AI spend goes — and why workflows fail.
Refario connects cost, tokens, latency, and success rates to the exact workflows and model calls behind them. Control budgets, catch regressions, and debug failures across projects and environments.
Detect spend spikes and sudden success-rate drops before customers notice.
Everything you need to run LLM workflows reliably—and economically.
Move from “what did we spend?” to “what did we spend on, and did it work?”
Tie cost to workflows, routes, model versions, and environments. Compare providers without spreadsheets.
Track success rate, retries, and failure hotspots per workflow—not just per API call.
See latency distributions (avg/p95/p99), token mix, and bottlenecks by workflow.
Catch runaway spend and sudden reliability drops before they hit customers.
Share dashboards with engineering, product, and finance. Export metrics when you need them.
One place to monitor dev/staging/prod across all services and workflows.
Built for how builders ship AI
One platform that satisfies engineering, product, and finance—without competing dashboards.
- Debug failures by workflow step and error type
- Track reliability and latency across releases
- Compare routing strategies and model upgrades safely
- Understand usage by feature and workflow
- Set budgets and guardrails by environment
- Measure impact of caching, reranking, and routing
- Attribute AI cost to teams, products, and customers
- Forecast spend under growth scenarios
- Explain cost variance with workflow evidence
Start simple. Scale when you need to.
Plans are placeholders—package around your current GTM and adjust as you learn.
- 1 project
- Core dashboards
- Top workflows
- 7–14 day retention
- Email support
- Up to 10 projects
- Workflow observability (errors, retries)
- Latency distributions (p95/p99)
- 90-day retention
- Team access
- Anomaly alerts
- Exports
- Unlimited projects
- SSO + RBAC
- Custom retention
- SLA + onboarding
- Optional self-hosting
A single source of truth for AI cost and reliability.
Refario unifies the metrics that usually live in billing pages, logs, and spreadsheets.
“We need to see failures at the workflow level, not just raw API calls.”
“We need per-feature cost attribution so budgets make sense as usage grows.”
“We need a dashboard both engineering and finance can trust.”
Answers to common questions
If you have a specific workflow stack, you can tailor these later.
Instrument once in your app. Refario aggregates cost, tokens, latency, and outcomes and organizes them by workflow, project, and environment.
Both. You get finance-grade cost attribution and engineering-grade workflow diagnostics in one view.
Yes. Starter is built for quick setup and immediate clarity on spend, failures, and latency.
Enterprise offers SSO/RBAC, custom retention, onboarding, and optional self-hosting depending on requirements.
Get visibility into AI cost and reliability—today.
Leave your email. You’ll get onboarding steps and a short demo tailored to your stack and workflows.