SafeLoc is the holding company of the CAM Protocol, a patent-pending governance infrastructure for regulated industries. SafeLoc's first application is a privacy-first location sharing product. The primary commercial vehicle is the CAM Protocol enterprise API.
SafeLoc launched as a consumer safety platform with a simple mission: you shouldn't have to sacrifice your privacy to stay safe. Every location-sharing app at the time worked the same way: always-on tracking, no consent, no control.
We built the Collaborative Access Management (CAM) Protocol to solve that problem. Instead of continuous surveillance, location would only be released when a trusted circle of people agreed it was necessary. A threshold. A consensus. A governance layer.
Then we realized: this isn't just a location problem. Every enterprise system faces the same flaw: AI agents acting unilaterally, privileged access granted without consensus, sensitive data released without human oversight. The CAM Protocol is the answer for all of it.
SafeLoc began as a consumer safety platform. The CAM Protocol was built to replace always-on tracking with threshold-based, consent-driven location access.
The CAM Protocol pivoted to focus on enterprise API governing AI agent workflows, sensitive data operations, and high-stakes access control.
In active discussions for the first enterprise healthcare pilot with a top AI workflow automation firm, governing agentic AI access to patient records under HIPAA.
The CAM Protocol's four-element governance architecture was filed as a USPTO Provisional Patent in March 2026 and confirmed novel by the New York Law School Patent Clinic, which found no prior art combining all four elements.
We're in active discussions for our first enterprise healthcare pilot with a leading AI workflow automation firm, governing AI agent access to sensitive patient data under HIPAA compliance via the CAM Protocol.
The digital economy operates on the assumption that a single actor (a user, an admin, or now an AI agent) can be trusted to act alone. We believe that assumption is fundamentally broken. Our mission is to build the governance infrastructure that requires human consensus before sensitive actions execute, at any scale.
As autonomous AI systems take on more consequential roles (reading patient records, executing financial transactions, modifying infrastructure), the world needs a trust layer that ensures humans remain in control of what matters. The CAM Protocol is that layer. We started with location. The protocol extends everywhere that matters.
No single actor (human or AI) should be able to unilaterally authorize a sensitive action. Every high-stakes decision should require a quorum.
Every request, approval, denial, and execution is immutably logged. No hidden actions. No silent data flows. Total accountability at every layer.
Privacy isn't a compliance checkbox. It's a design constraint. CAM's ephemeral access model ensures data is never retained beyond its purpose.
Autonomous systems should augment human judgment, not replace it. CAM ensures humans stay in the loop for consequential AI decisions.

LeAndrew Gordon
Founder & CEO, SafeLoc
LeAndrew's career in finance, investment management, and sustainability consulting exposed the same structural flaw everywhere: centralized authority creates predictable failure. SafeLoc began as a consumer location-sharing platform and evolved into the CAM Protocol - now the governance infrastructure for AI agent workflows, regulated enterprise data access, and enterprise cybersecurity.
"This isn't a tracking app. It's infrastructure for the AI governance era."
"Novel... We did not find any prior art which discloses each and every element of [CAM]."
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