Meterline
Meterline is an in-path platform for AI spend management that meters token usage across AI providers, enforces hard budget caps, and proves model non-inferiority on live traffic before cost-saving swaps are promoted. The platform connects via a one-line base url change, works with existing OpenAI and Anthropic SDKs, and fails open if Meterline is down.
- Artificial Intelligence
- Developer Tools
- Enterprise Software
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Enterprises using AI models face runaway costs from unmetered token usage across teams, features, and agents, with no hard stops to prevent budget overruns. Teams also struggle to confidently switch to cheaper models without risking quality degradation, since benchmarks don't reflect real production traffic.
Solution
Meterline provides an in-path layer that sits between applications and AI providers, metering every token and attributing spend to specific teams, features, tools, and agents. The platform enforces budgets as hard balances that stop spend when exhausted, applies compliance policies as routing rules on every call, and runs shadow proofs on live traffic to verify a cheaper model is non-inferior before promotion. If quality drifts after a swap, auto-rollback restores the previous model. Integration requires changing a single base_url line while keeping existing OpenAI and Anthropic SDKs unchanged, and the system fails open to ensure traffic continues if Meterline is unavailable.
Target Audience
Primary customers are engineering and platform teams at companies running production AI workloads who need spend governance, budget enforcement, and cost optimization without sacrificing quality.
Features
- Token-level metering with spend attribution to teams, features, tools, and agents across all AI providers
- Virtual keys with hard budget caps that stop spend at the limit, preventing overnight runaway agent bills
- Policy engine enforcing compliance rules like PII blocking and zero-retention in-path on every call
- Automatic provider failover with health monitoring and rerouting without dropping requests
- Shadow proof system that tests cheaper models on real traffic, issues non-inferiority verdicts, and arms auto-rollback on drift
- One-line integration via base_url swap with unchanged SDKs and fail-open architecture