Help Communities Thrive with Safe, Agentic AI
Crew Scaler is an AI-first nonprofit helping nonprofits, students, displaced workers, and organizations safely adapt to the rise of 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.
Who we serve
Crew Scaler supports communities and organizations navigating the AI transition with the fewest resources and the highest stakes.
Nonprofits & Small Organizations
Stay effective, trusted, and resilient in the age of AI.
We help mission-driven organizations adopt AI responsibly without sacrificing community trust, operational stability, or human-centered values.
Students & Displaced Workers
Build the confidence and real-world skills to thrive in an AI-driven economy.
We help learners and displaced workers build practical AI skills through hands-on learning, realistic workflows, and job-relevant projects.
Research Partners
Advance safe, accountable AI systems for public benefit.
We collaborate research partners to strengthen AI governance, workforce readiness, and real-world deployment safety.
Our Recent Contributions
Mastering Agentic AI Systems
PUBLIC-SECTOR UPSKILLING
Production-focused guide for designing, deploying, and governing real-world agentic AI systems.
Security Consideration for Multi-agent Systems
RESEARCH PAPER
Empirical research evaluating 16 AI security frameworks across 1,000+ multi-agent system risk items.
AI Reasoning in Cybersecurity
RESEARCH PAPER
IEEE-published framework evaluating LLM reasoning across cybersecurity and human behavioral scenarios.
ViolentUTF Platform
AWARD-WINNING APPLICATION
Accessible generative AI red-teaming platform designed for real-world safety evaluation and AI risk testing.
Growing Impacts
Informed 1,000+ Multi-Agent AI Risks | Upskilled 600+ Public Servants | Published 6+ research papers and books | 1 award-winning software
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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.
Why this matters:
Organizations deploying agentic AI systems need governance approaches designed for autonomous workflows, not just traditional software systems. -
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.
Why this matters:
AI adoption at scale requires workforce readiness, not just access to tools. Practical AI education helps institutions deploy AI more safely and responsibly. -
Crew Scaler evaluated 16 AI security and governance frameworks against more than 1,000 multi-agent system risk items across nine categories.
The research identified major gaps in non-determinism, memory isolation, and data leakage protections within existing AI governance approaches.
Why this matters:
Organizations need evidence-based approaches for evaluating agentic AI risk before deploying autonomous systems into real operational environments. -
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.
Why this matters:
Accessible AI safety tooling helps smaller organizations and public-interest teams evaluate AI risks without requiring large internal security teams.
Your support helps fund:
Practical AI education for students and displaced workers
AI support and tooling for nonprofits and small organizations
Open-access research on AI safety, governance, and public benefit
Together, we can help communities build resilience and thrive in the age of AI.