Enterprises want to leverage AI for coding but lack benchmarks on how models perform on their private, domain-specific code. This makes it hard to choose or optimize AI tools.
Build a secure platform where companies can upload anonymized code snippets or run benchmarks in isolated environments to test AI models. Focus on privacy and compliance.
Enterprise engineering teams would pay for actionable insights to select and tune AI coding assistants for their stack.
Start with a CLI tool that runs basic benchmarks on provided code samples, then expand to a SaaS platform.
The biggest risk is handling sensitive code securely and maintaining trust with enterprise clients.