Your LLM just told a user that Mars has a capital city. By the time your monitoring tool alerts you, 10,000 users saw it. We built the circuit breaker that prevents this.
What we do:
Real-time epistemic analysis BEFORE outputs reach users.
When GPT-4 is guessing (high Q2 = epistemic uncertainty), we block it.
When it knows (low Q2), we allow it.
Hey ProductHunt! ๐ Founder here.
Your LLM just told a user that Mars has a capital city.
By the time your monitoring tool alerts you, 10,000 users saw it. ๐ฅ
We built the circuit breaker that prevents this.
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๐ฏ What is AletheionGuard?
Real-time epistemic safety layer for ANY LLM.
We analyze outputs BEFORE they reach users:
- Q1: Data uncertainty (irreducible noise)
- Q2: Model uncertainty (knowledge gaps)
High Q2 = model is guessing โ ๐ BLOCK
Low Q2 = model is confident โ โ ALLOW
Works with: OpenAI โข Anthropic โข Llama โข Gemini โข Your custom model
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๐ฎ Try it now (no signup):
โ HuggingFace: https://huggingface.co/spaces/gnai-creator/AletheionGuard
โ Docs: https://aletheionguard.com/docs
โก Integrate in 5 lines:
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๐ฏ Perfect for:
- Healthcare AI (liability reduction)
- Legal tech (accuracy requirements)
- Financial advisors (compliance)
- Customer support (escalate uncertainty)
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๐ Built on 43 pages of research:
https://doi.org/10.13140/RG.2.2.35778.24000
We're the first (and only) inference-time epistemic safety layer.
Open source (AGPL-3.0) + commercial license available.
Ask me anything! ๐