At Lazarus AI, our research is grounded in a simple belief: AI systems should be reliable, explainable, and built to perform in the real world. We focus on advancing applied intelligence through rigorous experimentation, open collaboration, and continuous validation.
We pursue advances that extend the boundaries of what AI systems can reliably achieve. Our work is grounded in closing the gap between experimental breakthroughs and production-grade intelligence.
We focus on making advanced AI attainable, not exclusive. By translating cutting-edge research into open source code, we make key innovations broadly available.
We target the friction points others work around. From model limitations to governance constraints, our research is focused on eliminating the barriers that keep AI from becoming reliable infrastructure.
On-prem AI in one command
An open fine-tuning recipe for Qwen 3.5 that realigns the model toward accurate, balanced and transparent answers.
An autonomous vulnerability scanner and source-code hunter inspired by Anthropic's Glasswing.
