SpendLens AI

SpendLensAI is FinOps for AI - helping teams understand, control, and optimize their growing AI costs. As companies adopt OpenAI, Anthropic, Gemini and other LLM providers, AI spend can quickly become difficult to track. You know the total bill, but answering what is driving the cost, which workloads are expensive, and where can we save? is much harder. SpendLensAI gives engineering, FinOps and technology teams visibility into AI usage and turns that data into actionable cost insights. What SpendLensAI helps you do : 💰 Track AI spend : Understand LLM costs across models, applications, projects, teams and workloads instead of relying solely on provider-level bills. 📊 Understand where the money goes: See token consumption, request volumes, model usage, latency and cost trends so you can identify exactly what is driving your AI bill. 🔍 Find cost-saving opportunities: Identify expensive workloads and discover opportunities to reduce AI costs without blindly cutting usage. ⚖️ Compare models and costs: See how alternative models compare for your workloads and identify where a lower-cost model could potentially deliver similar results. 🧠 Workload-level intelligence: Understand whether spend is coming from document summarization, research agents, recommendations, extraction, classification or other AI workloads. ⚡ Monitor caching efficiency: Track cache usage, uncached input and cache hit rates to uncover unnecessary token spend. 🛡️ Improve AI governance: Give engineering and FinOps teams a common view of AI consumption, ownership and cost as AI adoption grows across the organization. What makes SpendLensAI different? SpendLensAI is not another LLM proxy. Your AI traffic doesn't need to be routed through SpendLensAI. Your application continues communicating directly with your AI providers, while SpendLensAI provides the FinOps intelligence layer around that usage. That means SpendLensAI is focused on one job: Turning AI usage data into visibility, accountability and actionable savings opportunities. The goal isn't simply to show you another dashboard full of token counts. It's to help answer the questions that actually matter: Why is our AI bill increasing? Which applications and workloads are responsible? Where are we wasting money? Could another model handle this workload more efficiently? And what should we optimize first? If your AI bill is growing faster than your understanding of it, SpendLensAI is built to help you regain control.