Businesses running AI agents struggle to predict and compare costs across different providers and architectures. Lack of standardization makes budgeting difficult.
Develop a service that benchmarks agent run costs under different workloads, helping companies choose cost-efficient configurations and spot optimization opportunities.
Engineering teams would pay for actionable insights that reduce their AI infrastructure bills.
Start with simple comparison of major cloud providers before adding more complex scenarios.
The main risk is rapid obsolescence – as pricing models evolve, benchmarks may require constant updating.