Execution-layer governance for autonomous systems
SAIF is execution-layer governance infrastructure designed to bring deterministic control, auditability, and fail-closed behavior directly into autonomous system operations.
Built to govern autonomy from within
SAIF emerged from a clear need: autonomous systems in mission-critical environments require governance that acts before execution, not after. Since our founding, we've focused on embedding deterministic controls and auditability directly into runtime operations, making governance a structural layer, not an afterthought.
Built by operators who understand execution risk
SAIF is being built by a focused team with hands-on experience in autonomous systems, infrastructure, and mission-critical reliability.
Founder and CEO
William Whitmire
William leads SAIF’s vision, strategy, and external direction. His work centers on bringing deterministic governance, auditability, and fail-closed control into autonomous system execution for high-trust environments.
CTO
Jonathan Cameron
Jonathan leads SAIF’s technical architecture and execution layer design. He focuses on building the infrastructure that makes runtime governance enforceable, reliable, and observable before actions occur.
CMO
Connor May
Connor supports SAIF’s strategic growth, positioning, and partnership development. He helps shape how SAIF is presented to partners, stakeholders, and mission-driven opportunities where trusted autonomy matters.
CIO
Kate Lynn Bill
Kate Lynn brings AI strategy and innovation leadership to SAIF, helping shape how autonomous systems are aligned, advanced, and governed in high-trust environments where execution discipline and accountability are essential.
Safety built into the system
We believe autonomous systems must be governed before they act, not after. SAIF embeds control, transparency, and accountability directly into runtime operations so you maintain precision and confidence in mission-critical environments.
Build the future of AI governance with SAIF
We're looking for engineers, researchers, and collaborators who believe autonomous systems need control built into their core. Let's work together.