Intellirate

What inspired you to build this? As AI engineers, we were tired of "Vibe Based Testing." We’d tweak a system prompt to fix a specific hallucination, deploy it, and realize two days later that we had silently broken five other workflows. The "works on my machine" problem is 10x worse when your code is non-deterministic. We built Intellirate because we needed a way to trust our own deployments. What problem were you trying to solve? The "Regression Loop." In traditional software, if a unit test passes, the code works. In GenAI, you can run the same prompt twice and get different results. We wanted to solve the lack of rigorous, automated benchmarks for LLMs. We specifically targeted the "Big Three" blockers to production: Security (Prompt Injection), Reliability (Latency/Hallucinations), and Fairness (Bias). How did your approach evolve? We started out just building a latency monitor. But as we talked to more CTOs, the conversation always shifted to security. Everyone was terrified of their chatbot getting "jailbroken" or leaking PII. We pivoted hard to prioritize Automated Red Teaming. We realized that static tests weren't enough—we needed to build "Attacker Agents" that actively try to break your model before your users do.