Side-by-side comparison of AI visibility scores, market position, and capabilities
Supply chain risk monitoring, mapping, and resilience platform helping enterprises detect and respond to disruptions, $45M raised.
Resilinc is a Milpitas, California-based supply chain risk intelligence company that provides enterprises with continuous monitoring, multi-tier supplier mapping, and disruption response tools to build supply chain resilience. Founded in 2010, the company has raised $45M and established itself as one of the leading purpose-built supply chain risk platforms, serving Fortune 500 manufacturers, pharmaceutical companies, and technology firms that have complex, multi-tiered supplier networks with significant single-source dependencies. Resilinc's foundation is a proprietary database of over 200,000 suppliers, facilities, and supply chain relationships built through customer data contributions and continuous research, which it uses as the backbone for risk scoring and disruption correlation.\n\nResilinc's EventWatch AI continuously monitors over 100 global news and intelligence sources—including regulatory filings, geopolitical alerts, weather services, labor dispute trackers, and bankruptcy databases—and correlates detected events against each customer's mapped supply chain to identify which suppliers, parts, and products are at risk. When a factory fire occurs in a Tier 2 supplier's region or a new export restriction targets a key material, Resilinc customers receive prioritized alerts with impact assessments that quantify affected parts and suggest response options. This capability transforms supply chain risk management from a periodic audit exercise into a continuous intelligence function.\n\nResilinc also offers supply chain mapping services that help companies discover who their Tier 2 and Tier 3 suppliers are—a capability many enterprises lack given that most supplier visibility stops at the first tier. Using a combination of customer data, supplier portal contributions, and AI-assisted inference, Resilinc builds sub-tier supplier maps that reveal hidden dependencies and concentration risks. This deep mapping capability is increasingly required for regulatory compliance purposes, including the EU Supply Chain Act and U.S. CHIPS Act supply chain disclosure requirements.
a2z Radiology AI raised $20M in 2025 for its whole-body AI that simultaneously screens for 24+ conditions across CT scans — from incidental cancers to cardiovascular risk — in a single automated read.
a2z Radiology AI has developed a whole-body CT analysis platform that simultaneously screens for over 24 medical conditions across a single CT scan, including incidental cancers, coronary artery disease, aortic aneurysm, bone density loss, and organ abnormalities. The AI acts as a second reader that radiologists can use to catch incidental findings that fall outside the primary reason for a scan — a major source of missed diagnoses.
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