SENTINEL SIGNAL SYSTEMS
Evidence-driven decision infrastructure
for high-consequence automation.
Sentinel Signal turns continuously observed evidence into machine-readable decisions before software acts — from AI agent trust and runtime governance to healthcare claims and reimbursement intelligence.
Developer documentation →Different systems create different risks. The underlying requirement is the same: understand the evidence before allowing the next action.
AGENT TRUST INFRASTRUCTURE
Know what your agents can use — and enforce the decision.
Verify evaluates agent tooling, continuously validates evidence, detects contract and runtime changes, generates policy decisions, and can enforce those decisions at execution time.
HEALTHCARE DECISION INTELLIGENCE
Find risk before it reaches the work queue.
Machine-readable intelligence for claims operations, prior authorization, reimbursement, and other healthcare workflows.
01 — Observe
Collect continuously changing evidence.
02 — Understand
Normalize evidence into structured, versioned intelligence.
03 — Decide
Evaluate risk, trust, policy, and context.
04 — Act
Allow systems to route, approve, deny, warn, or escalate.
05 — Learn
Capture outcomes and new evidence for subsequent decisions.
FLAGSHIP
Discover
Find public and private agent-tool infrastructure.
Verify
Validate identity, runtime behavior, security posture, compatibility, freshness, and tool contracts.
Decide
Produce trust scores, production verdicts, policies, and approval requirements.
Enforce
Apply those decisions through CI, APIs, Agent Reliability, and Gateway controls.
Prove
Preserve the evidence and decision history necessary to explain what happened.
Discovered
95K+
Endpoints observed
17K+
Validation
Continuous
Policy
Machine-readable
Enforcement
Runtime
HEALTHCARE DECISION INTELLIGENCE
Machine-readable intelligence for claims operations, prior authorization, reimbursement, and other healthcare workflows.
Should this claim be routed, reviewed, or submitted?
Humans get interfaces. Software gets stable APIs, schemas, policies, and structured evidence.
Trust and risk conclusions should be traceable to their underlying observations.
Provide intelligence while intervention can still change the outcome.
Versioned interfaces, deterministic policy behavior where applicable, monitoring, auditability, and explicit failure states.
FOR SOFTWARE, NOT SCREENSHOTS
{
"decision": "allow",
"confidence": 0.94,
"evidence_age": "fresh",
"policy_version": "2026-08-19"
}Evaluate the evidence. Make the decision. Preserve the proof.