Averlon is building a verticalized inference layer for cybersecurity using a combination of fine-tuned domain-specific models and iterative self-refinement to achieve frontier model performance at a fraction of the cost on public and internal benchmarks.

Averlon is defining a new category of Agentic Remediation Operations, helping security leaders move from endless vulnerability and exposure findings to safe, prioritized fixes. Traditional security tools generate findings, vulnerability scores, and backlogs. Averlon does the opposite. Averlon’s agentic AI helps security teams determine what is actually exploitable and what matters most. It then automates safe remediation and mitigation directly within developer workflows, reducing backlog and operational overhead. By applying the same approach before changes reach production, Averlon also prevents new risks from being introduced. Averlon enables security teams to reduce risk faster across the full lifecycle of a vulnerability. Built for modern, fast-moving environments, Averlon is trusted by startups and global enterprises to turn findings into outcomes with clarity, confidence, and speed.