Signal 1 provides a purpose‑built AI Management Platform for health systems that centralizes the intake, governance, and continuous monitoring of generative, predictive, and agentic AI tools. The platform automates risk classification, maintains audit trails, integrates with ServiceNow, and offers real‑time performance alerts and portfolio intelligence to ensure regulatory compliance and operational accountability.
Funding
$10M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
6OFounders
Product
Problem
Healthcare organizations increasingly deploy generative, predictive, and agentic AI tools, but existing generic AI governance frameworks do not address the unique clinical, regulatory, and operational risks of these technologies. This leads to fragmented tracking, inconsistent risk assessment, and limited visibility into AI performance across the enterprise.
Solution
Signal 1 offers a purpose‑built AI Management Platform for health systems that centralizes the lifecycle of all AI models, agents, and large language‑based tools. The platform standardizes AI intake with automated risk classification and audit trails, creates a single source of truth inventory with detailed model cards, and provides continuous post‑deployment monitoring that includes LLM‑as‑a‑Judge evaluation and threshold‑based alerts. By integrating with existing infrastructure such as ServiceNow, the solution enables cross‑functional governance, real‑time accountability, and regulatory compliance without manual processes.
Target Audience
Primary customers are large health systems, hospital networks, and healthcare technology groups that develop, deploy, or manage AI‑driven clinical and operational tools.
Features
- AI‑powered intake workflow that classifies risk at submission and logs a complete audit trail
- ServiceNow integration for automatic routing of AI requests into existing ticketing systems
- Centralized AI registry with auto‑populated model cards covering owner, risk tier, use case, and status
- Real‑time post‑deployment monitoring with LLM‑as‑a‑Judge assessments and configurable alert thresholds
- Escalation workflows that trigger when performance or safety issues are detected
- Unified dashboard that aggregates portfolio intelligence for leadership reporting