A startup using multiple LLMs for product features tracks spending across models like GPT-4.1 and Claude to optimize usage and stay within a tight budget. CostLens provides real-time alerts when costs approach thresholds, preventing unexpected overruns.

A large corporation implements AI tools across departments and uses CostLens to generate detailed reports on token usage and costs per model and day. This helps enforce budget policies and audit compliance with internal spending guidelines.

Researchers running experiments with various LLMs need to monitor token consumption and costs to allocate grant funds efficiently. CostLens allows them to check budgets and export reports for funding documentation and analysis.

A SaaS provider offering AI-powered services to clients uses CostLens to track per-model costs and identify high-expense areas. This data informs pricing strategies and helps maintain profitability by adjusting usage or model selection.

Offer CostLens as a cloud service with tiered plans based on features like advanced reporting or higher alert thresholds. Revenue comes from monthly subscriptions, targeting businesses needing continuous cost oversight.

Sell perpetual licenses or annual contracts to large organizations for on-premises deployment or custom integrations. Revenue is generated through upfront fees and optional support packages for ongoing maintenance.

Provide a free basic version of CostLens for individual developers or small teams, with paid upgrades for advanced features like multi-user access or historical data analysis. Revenue comes from converting free users to premium plans.