AI developers face challenges in ensuring their models are reliable and free from biases or harmful outputs. A toolkit could provide safety checks, bias detection, and explainability features.
Build a library or SaaS platform offering pre-built modules for testing AI models. Focus on ease of integration with popular frameworks like TensorFlow and PyTorch.
Charge enterprise clients based on usage or feature tiers.
Start with basic safety checks and expand to advanced diagnostics over time.
The main risk is competing with AI platforms that bundle safety features natively.