About Deep 6 AI
Deep 6 AI is a healthcare artificial intelligence company that specializes in accelerating clinical trials by leveraging advanced AI and Natural Language Processing (NLP) to analyze vast amounts of patient data. For physicians, this means a significantly streamlined process for identifying eligible patients for clinical research studies. The platform delves into both structured data (such as ICD-10 codes, lab values) and, crucially, unstructured data, which constitutes up to 80% of a patient’s medical record, including physician notes, pathology reports, genomics results, and radiology reports.
By transforming fragmented medical documents into unified “patient graphs,” Deep 6 AI’s software can precision-match complex trial inclusion and exclusion criteria to patient characteristics in minutes, rather than the months typically required by manual methods. This capability not only reduces the burden on research staff and lowers screen failure rates but also expands access to cutting-edge investigational treatments for patients. The platform operates within a secure, HIPAA-compliant environment, enabling healthcare organizations to enhance their research capabilities, generate real-world evidence, and ultimately bring life-saving therapies to patients faster.
Focus Areas
Business Intelligence
| Technology | AI-powered, Natural Language Processing (NLP), Machine Learning (ML), analyzes structured and unstructured EMR data (physician notes, pathology reports, genomics results, lab reports), cloud-based (AWS Virtual Private Cloud), patient graphs, Cohort Builder, Trial Recommender, HIPAA-compliant |
What Physicians Need to Know
For physicians, Deep 6 AI offers a powerful tool to enhance patient care and research participation. You can quickly identify eligible patients for cutting-edge clinical trials, providing them with access to advanced treatments they might not otherwise find. The platform significantly reduces the manual burden of patient screening, allowing you to focus more on patient care. Leverage the 'Trial Recommender' feature to suggest targeted studies to eligible patients during their visits, integrating research seamlessly into clinical workflows. The ability to search unstructured data means even complex patient histories are thoroughly evaluated, increasing the chances of finding suitable trials for hard-to-reach or rare disease patients. Rest assured that patient data is handled with the highest security and HIPAA compliance, with data ownership remaining with your healthcare organization. The recent acquisition by Tempus AI further strengthens its capabilities in precision medicine and broadens its reach to more provider sites.
Deep 6 AI's platform is built for robust integration within healthcare ecosystems. It handles data ingestion from major Electronic Health Record (EHR) systems like Epic and Cerner via secure, normalized pipelines. The platform utilizes a cloud-native solution on AWS Virtual Private Cloud and has enhanced its healthcare data pipeline by implementing the Aidbox FHIR server, ensuring high performance, data quality, and adherence to FHIR standards for interoperability. It also incorporates multiple data sources beyond EMRs, such as genomics, custom databases, cancer registries, and CTMS.
What the Web Says
Deep 6 AI receives generally positive feedback for its product, particularly in its ability to accelerate patient recruitment for clinical trials through advanced AI and NLP. Users appreciate its efficiency and the quality of insights provided. As an employer, reviews suggest a positive work environment with opportunities for growth, though some common startup challenges like rapid change and occasional workload pressure are mentioned.
Overall: PositiveStrengths
- Significantly speeds up patient identification and recruitment for clinical trials.
- Powerful AI and NLP capabilities for extracting relevant patient data.
- User-friendly interface and intuitive design.
- Reduces manual effort and improves accuracy in patient matching.
- Positive company culture with supportive colleagues and management.
- Meaningful work contributing to medical research.
Limitations
- Integration with existing hospital systems can sometimes be complex or time-consuming.
- Initial learning curve for new users to fully leverage all features.
- Occasional reports of high workload or fast-paced environment common in startups.
- Some users desire more customization options for specific research needs.
- Pricing information is not always transparently available.
- Limited public reviews on certain platforms like Capterra.
Based on reviews from: G2, Glassdoor, Healthcare IT News, Reddit, KLAS Research (indirect mentions/related discussions)
Last updated: 2026-08-21
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