Building the future of trustworthy AI through epistemic uncertainty quantification and hallucination detection.
At AletheionGuard, we're on a mission to make AI systems more reliable and trustworthy. We believe that understanding and quantifying uncertainty is the key to building AI applications that users can depend on.
Our proprietary pyramidal architecture decomposes uncertainty into aleatoric (Q1) and epistemic (Q2) components, giving developers unprecedented insight into their AI models' confidence levels.
We're not just detecting hallucinations—we're building a foundation for truly trustworthy AI systems that know when they don't know.
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Our technology is built on cutting-edge research from AletheionAGI, a pioneering AI research organization focused on epistemic uncertainty quantification.
AletheionAGI conducts fundamental research in epistemic uncertainty, Bayesian deep learning, and probabilistic AI to push the boundaries of trustworthy machine learning.
Our team collaborates with leading universities and research institutions worldwide, publishing in top-tier AI conferences and journals.
We bridge the gap between research and production, transforming breakthrough academic insights into enterprise-grade tools that developers can use today.
AletheionAGI envisions a future where AI systems are not just powerful, but fundamentally trustworthy. By quantifying what models know and what they don't know, we enable:
AletheionGuard is built on breakthrough research in uncertainty quantification and epistemic reasoning.
Our proprietary pyramidal approach decomposes uncertainty into two orthogonal dimensions: aleatoric (Q1) and epistemic (Q2). This separation provides actionable insights that traditional confidence scores cannot match.
We leverage Bayesian deep learning, evidential reasoning, and ensemble methods to accurately estimate model uncertainty across diverse domains and model architectures.
Your data never leaves your control. AletheionGuard can be deployed on-premises or in your private cloud, with end-to-end encryption and zero-knowledge architecture.
Works with any LLM—GPT-4, Claude, Gemini, Llama, or your own fine-tuned models. No special training or model modifications required.
Building systems that earn and maintain user trust through transparency
Pushing the boundaries of what's possible in AI safety
Working with the community to advance trustworthy AI
Delivering world-class products backed by rigorous research
Led by world-class researchers and engineers with expertise in AI safety, uncertainty quantification, and production ML systems.
Our team brings together decades of experience from leading AI labs, tech companies, and academic institutions. We're united by a shared vision of making AI systems more reliable and trustworthy.
Whether you're building the next generation of AI applications or researching AI safety, we'd love to work with you.