Platform Overview
A real-time intelligence layer that eliminates ghost networks and connects people in crisis to verified care resources.
How the Platform Works
CommonLight operates as an intelligent middleware layer between your data sources and distribution channels.
Data Sources
AI Intelligence Layer
Distribution
Ghost Networks Cost Lives
30% of listed crisis providers don't exist or aren't accepting patients. This wastes 200+ hours annually per care worker and delays critical support.
Real-Time Provider Verification
CommonLight uses AI to continuously verify provider availability, capacity, and services—ensuring every referral connects to actual, available care.
Multi-Source Data Aggregation
We aggregate provider data from 12+ sources including 211 systems, HMIS platforms, state registries, and direct provider integrations to build the most comprehensive view.
AI-Powered Validation
Our AI continuously scores provider reliability using temporal decay models, cross-source reconciliation, and real-world feedback to predict actual availability with 98% accuracy.
Instant Distribution
Verified data is distributed in real-time to your existing workflows via API, SMS, mobile apps, or direct integrations—no workflow disruption required.
Continuous Improvement
Every referral outcome feeds back into our intelligence layer, making predictions more accurate over time and surfacing gaps in your care ecosystem.
Three Steps to Verified Care
Discover & Aggregate
We continuously pull data from 211 systems, HMIS platforms, state registries, provider APIs, and community feedback.
Validate & Score
AI validates each provider using RCS (Reliability Confidence Score), temporal decay, and multi-source reconciliation.
Distribute & Improve
Verified data flows to your workflows via API, SMS, or integrations. Referral outcomes feed back to improve accuracy.
Ready to Eliminate Ghost Networks?
See how CommonLight can transform your crisis response workflow with real-time provider intelligence.
Technology empowering human connection in crisis response.
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