Crew Scaler

Help Communities Thrive with Safe, Agentic AI

We combine real-world AI security research, accessible education, and practical implementation guidance so communities with the fewest resources can still participate in the future of AI.

Together, we help people use AI to create opportunity — not new risk.

We believe AI should expand human capability, not replace human value. Our work combines open research, accessible education, and practical implementation guidance so that communities with the fewest resources can still shape, not simply endure, the age of agentic AI.

Why now?

Agentic AI adoption is accelerating faster than most organizations’ ability to govern, secure, and operationalize it responsibly. Millions of workers are being asked to adapt to AI-driven changes without clear, practical pathways into the new economy. Many nonprofits and small organizations lack the technical staff, infrastructure, and governance support needed to adopt AI responsibly and effectively.

As AI systems move into real-world deployment, communities with the fewest resources often face the greatest risks from unsafe, inaccessible, or poorly governed AI systems. Without thoughtful intervention, the benefits of AI risk becoming concentrated in the hands of those already best positioned to adapt.

Our key accomplishments so far

1. Crew Scaler submitted multi-agent security recommendations to NIST to help inform emerging AI agent governance and deployment standards. Our findings highlighted governance gaps in non-deterministic behavior, inter-agent trust, and data leakage protections across existing frameworks. This work was featured in an official NIST event.
2. Upskilling 600+ Public Servants in Agentic AI. Mastering Agentic AI Systems was adopted as instructional material for an upskilling initiative serving more than 600 government employees across federal, state, and military environments. Participants learned how to design, evaluate, and safely govern production-grade agentic AI systems using practical deployment and security workflows.
3. Accessible AI Red Teaming for Public Impact. Crew Scaler’s ViolentUTF platform helps make AI red teaming and model evaluation more accessible for researchers, practitioners, and public-sector environments. The platform was used to evaluate real-world AI systems and cross-domain cybersecurity reasoning in practical deployment scenarios.