We build the control layer for secure enterprise AI.
Security teams do not need more disconnected dashboards. They need one operating layer that reduces stale identity risk, accelerates SIEM triage, keeps private data governed, and routes AI workloads with clear policy and observability.
That is why we built Model Signal: a control plane for secure enterprise AI operations that connects IAM/PAM hygiene, SOC defense, retrieval quality, and model routing into workflows teams can actually run in production.
Leadership: Randall Scott Avenell, Founder, Chaos Champion; Justin Joseph Silva, VP, Mission Control; and Miguel Angel Lopez, Global Networking Overlord.
Our mission is to solve the highest-impact enterprise problems in front of us right now while building systems that make tomorrow safer, smarter, and more equitable. We measure success by one standard: when our work is done, organizations operate better and the world is better for it.
Every model call is logged with latency, cost, token count, and quality score. Nothing is hidden — you always know what ran and why.
Data never trains third-party models without your consent. PII scrubbing, audit logs, and role-based access are built in from day one.
Our mesh layer adds less than 20ms overhead per request. Routing intelligence should be invisible — and in Model Signal, it is.