Launching today
DeepRails
Don't just detect AI hallucinations: fix them automatically!
1 follower
Don't just detect AI hallucinations: fix them automatically!
1 follower
Every AI guardrails tool on the market does the same thing: detect a hallucination, then block the response. Your user gets nothing. Your AI looks broken. DeepRails is different. We don't just catch mistakes—we fix them. Our Defend API evaluates outputs, diagnoses what went wrong, automatically corrects the response, and verifies it passes before delivery. Your users get accurate answers. Every time. 45% more accurate than AWS Bedrock. Works with any LLM. Start FREE.
Hey PH 👋 NJ, founder of DeepRails.
Here's what we believe: As AI sits between humans and decisions about health, money, education, and governance, correctness stops being a feature—it becomes infrastructure.
The problem? Every guardrails tool today just detects and blocks. Your AI hallucinates, user gets nothing, trust erodes. That's not safety. That's a band-aid.
DeepRails exists because we think there needs to be a real-time layer that catches AND fixes AI failures before they propagate. We lived this pain building AI in education and finance—watching LLMs confidently give wrong answers while existing tools just shrugged.
So we built the missing layer. Our Defend API evaluates every output, diagnoses what failed, corrects it automatically, verifies the fix, and delivers. Real-time. Any LLM.
We're 45% more accurate than AWS Bedrock, and we're already working with teams in healthcare, legal, and fintech where "mostly right" isn't good enough.
Our bet: just like SSL became invisible but essential for trusting the web, correction layers will become essential for trusting AI.
What's holding you back from deploying AI in production? Would love to hear your biggest guardrails pain points. Ask me anything! 🚀