Match patients to clinical trials effortlessly using advanced AI and NLP.
Why it matters
Stork Quadrant
Has a real moat but invisible to agents. Add an MCP and you'd climb.
“Deep 6 survives because it sits at the intersection of three hard moats: regulatory (HIPAA, FDA oversight of clinical trial matching as a medical device), trust (wrong matches harm patients and expose hospitals to liability), and coordination (it orchestrates between EHR systems, trial databases, and hospital workflows). An LLM alone can't replace the liability-bearing infrastructure, the validated matching logic, or the integration rails that hospitals depend on. The proprietary EHR + trial data pipeline is defensible too—constantly refreshing, hospital-specific, and hard to replicate.”
An LLM alone could replace
Deepen the regulatory moat by pursuing FDA clearance as a clinical decision support device, not just a matching tool. Own the liability explicitly—position as the vendor hospitals can point to when trial enrollment decisions are audited. Expand coordination by becoming the API that trial sponsors call to find eligible patients across hospital networks.
API Available
overview
Deep 6 AI is a revolutionary NLP platform that automatically matches patients to clinical trials using unstructured EHR data. By leveraging cutting-edge AI technology, it transforms the research process for healthcare organizations, sponsors, and clinical researchers.
features
Deep 6 AI offers powerful features designed to streamline clinical trial recruitment and improve data accessibility. With real-time EMR feeds and machine learning capabilities, it sets a new standard for researching patient cohorts.
use cases
Deep 6 AI is tailored for a variety of users including sponsors, clinical researchers, CROs, and healthcare providers. It is particularly beneficial in complex or high-volume research environments, enhancing recruitment and feasibility assessments.
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AI Reputation Report
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