1. Know where to start without the hype.

The Service: A 360-degree analysis of your data infrastructure, team capability, and digital transformation logic. We identify gaps before you invest.

The Methodology: Based on the AI Readiness Framework (ScienceDirect) and 360-Degree Data Surveys (ACM), we move beyond hype to measurable implementation capacity.

  • Aligned with standards from: ScienceDirect, Wiley, ACM Digital Library.

2. Scale AI without breaking your workflow.

The Service: We design the end-to-end architecture for deploying AI at scale. Our frameworks define clinical workflows, decision logic, and integration points to ensure seamless adoption.

The Methodology: We utilize clinical AI protocols (JMIR) and deployment-at-scale frameworks (ScienceDirect) to ensure your system survives contact with reality.

  • Aligned with standards from: JMIR, Oxford Academic (JAMIA).

3. Automate knowledge without losing control.

The Service: We convert unstructured medical data into automated, disease-specific knowledge graphs. This creates transparent, queryable intelligence that respects ethical boundaries.

The Methodology: Using fully automated workflows (Oxford Academic) and EMR learning logic (Nature), we build systems that explain their reasoning.

  • Aligned with standards from: Nature, Bioinformatics (Oxford), Wellcome Open Research.

4. Get clinical adoption without the pushback.

The Service: Technology fails without human adoption. We guide founders and clinicians through the critical activities required to make AI stick in clinical settings.

The Methodology: Our mentoring follows proven adoption and implementation science (Frontiers in AI) to align technical capability with human workflow.

  • Aligned with standards from: Frontiers in Artificial Intelligence.

5. Secure funding without the guesswork.

The Service: We prepare startups for investment by rigorously validating their real-world impact claims. We turn assumptions into FAIR-compliant evidence.

The Methodology: We apply the FAIR-AI framework (PubMed Central) and IMPACTS criteria (JMIR) to prove long-term value and reduce investment risk.

  • Aligned with standards from: PubMed Central, Journal of Medical Internet Research.