About
Realm Labs was founded by AI researchers from three traditions that converged on the same problem: adversarial machine learning, AI safety and explainability, and large-scale systems and supply-chain security. Between them, the founding team holds 20 patents and more than 5,000 academic citations across more than a decade of work on how AI systems fail and how they can be defended.
What came out of that work was a research breakthrough the team calls Deep Neural Inspection. What linked the three traditions was a shared finding: an LLM's true intent is visible only inside its own mathematical representations, not in the language it produces. DNI reads a model's internal manifolds as it processes a request, catching prompt injection, jailbreaks, data exfiltration, and unsafe behavior at the source. It is the only inspection point in an AI system that the model itself cannot forge.
The team building it.
Built by AI experts from Symantec, Splunk, Snowflake, Google, Apple

Piotr Mardziel
Head of AI
Expert in Trustworthy ML and AI Interpretability. Ex-TruEra and Snowflake. CMU. PhD UMD.

Akash Mukherjee
Head of Engineering
Security Lead for Supply-chain Levels for Software Artifacts at Google, Private Cloud Compute at Apple. USC, IIT BHU.

Saahil Agrawal
Founding ML Engineer
AI/ML Lead at Abnormal AI and Walmart. Stanford University. IIT Madras.
Building the future of AI security.
We hire researchers and engineers who would do this work even if no one paid them. Then we pay them well. Open roles span AI/ML engineering, security research, platform engineering, and design.
See open roles →Investors.
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Realm Labs operates from Sunnyvale California.
Join us!
We believe that as AI becomes embedded in products, workflows, and decision-making, trust will be the factor that determines how far it can go. We exist to ensure that progress doesn't come at the cost of control, clarity, or accountability.
Ready to stop your next AI failure?
30-minute working demo. We bring the environment. You bring the hardest problem.











