Real-time monitoring across all AI providers with predictive alerts that prevent budget overruns.Track every token, optimize every dollar - before overspending happens.
* Based on enterprise case studies; individual results may vary.
You're paying for AI without knowing where your money goes. Monthly bills arrive with shocking totals, and there's no way to predict, track, or control your actual spending.
Your monthly AI costs fluctuate wildly because you can't see usage in real-time
You don't know which features, teams, or models are burning through your budget
You discover overspending after it happens, not before when you can prevent it
Real-time monitoring across 15+ AI providers with token-level attribution, predictive budget alerts, and automated optimization that enterprises use to achieve up to 39% cost reductions.
ML-powered forecasting warns you 3-7 days before budget overruns across all providers
Track every API call, token, and cost by team, feature, or model across 15+ providers
90% caching discounts, 70% batch savings, prompt compression - applied automatically
Dynamic limits with smart throttling that prevents overruns without breaking workflows
Production-ready monitoring that scales from startup to enterprise. Track, attribute, and optimize AI costs across your entire technology stack.
Practical guides and tools to help you optimize AI costs. Learn proven techniques and strategies that teams use to reduce spending while maintaining performance.
Discover how much you could save on your AI costs with proven optimization strategies
Our calculator uses real enterprise data from 2024 case studies to provide conservative, achievable savings estimates. These aren't theoretical maximums—they're realistic targets based on actual implementations.
Systematic review and optimization of AI prompts to reduce token usage while maintaining output quality.
Intelligent response caching and reuse strategies that significantly reduce redundant API calls.
Strategic matching of AI models to task requirements, avoiding over-powered solutions.
Combining multiple requests to eliminate instruction overhead and reduce total token consumption.