SpendLens AI

SpendLensAI is FinOps for AI, built to help engineering, FinOps, and technology teams understand, control, and optimize their growing AI costs. As companies adopt OpenAI, Anthropic, Gemini, and other LLM providers, it becomes increasingly difficult to understand exactly where the money is going. SpendLensAI gives you visibility beyond the provider bill, helping you track AI spend across models, applications, projects, teams, and workloads. Instead of simply showing token counts and charts, SpendLensAI helps uncover actionable cost-saving opportunities. You can identify expensive workloads, understand what's driving cost increases, compare model costs, discover where lower-cost models may be suitable, and prioritize what to optimize first. SpendLensAI also provides visibility into request volumes, token consumption, latency, cost trends, and caching efficiency. Workload-level insights help you understand how much you're spending on use cases such as document summarization, research agents, recommendations, extraction, classification, and other AI workloads. What makes SpendLensAI different is that it's not another LLM proxy. You don't need to route your AI traffic through SpendLensAI or introduce another service into the critical path of your application. Your application continues communicating directly with your AI providers while SpendLensAI provides the FinOps intelligence layer around your usage. The goal is simple: turn AI usage data into visibility, accountability, and real cost-saving opportunities.** SpendLensAI helps answer the questions that matter: Why is our AI bill increasing? Which workloads are responsible? Where are we overspending? Could a more cost-effective model handle the same workload? And what should we optimize first? If your AI spend is growing faster than your ability to understand and control it, SpendLensAI helps you take back control.