Business Strategy

User Groups & Use Cases

1. Pharmaceutical & Biotechnology Companies

  • Reimbursement submissions for agencies such as NICE, PBS, AMCP, FDA, CMS.
  • HTA compliance and real-world evidence integration.
  • Demonstrating real-world cost-effectiveness for market access and pricing negotiations.

2. Medical Device & Diagnostics Companies

  • Coverage and adoption modeling of new devices or diagnostic tools.
  • Rapid generation of cost-effectiveness data to persuade payers and hospital systems.

3. HEOR Consulting Firms & Agencies

  • Potentially adopt SuperModel as the technology backbone to make their modeling engagements faster, more transparent, and more cost-effective.
  • Remain an option to partner with or integrate with their current workflows.

4. Health Insurance Payers & Managed Care Organizations

  • Formulary decisions and value-based contracting.
  • Ability to input plan-specific population data for cost impact.

5. Healthcare Providers & Systems

  • Investment cases, technology assessments, and comparisons of interventions or clinical pathways.

6. HTA Agencies & Public Health Organizations

  • Independent evaluation of treatments or interventions for coverage policy.
  • Potential to conduct rigorous real-world evidence studies with a user-friendly interface.

Go-to-Market Phases

Phase 0: Blended Consulting & SaaS Development

  • Continue any ongoing consulting engagements (for example, with WHO or OECD) to gather revenue and feedback.
  • Reinvest those funds to build and refine the SaaS platform.

Phase 1: Initial Focus on Pharma

  • Target early adopters who need compliance with established frameworks (NICE, AMCP).
  • Validate product-market fit by securing success stories (like a pilot with a major pharma or a top-20 company).

Phase 2: Expand to Adjacent Markets

  • Move beyond pharma to medical devices, diagnostics, consultancies, and public health.
  • Introduce or emphasize features specifically useful to payer customization.

Phase 3: Broader Healthcare Adoption

  • Hospitals, health systems, and self-insured employers that can use a no-code, AI-driven approach to analyzing interventions.
  • Aim for deeper integration into health system workflows for technology assessments and budget impact analyses.

2025 Roadmap & Next Steps

NYC Market Entry (Q1 2025)

  • Establish presence in NYC's healthcare innovation district
  • Attend and network at HealthNext AI Summit, Bloomberg Invest, and Digital Health CEO Summit
  • Begin pilot programs with selected NYC-based healthcare organizations

Product Development (Q1-Q2 2025)

  • Launch enhanced AI-driven model generation features
  • Complete integration with major real-world evidence databases
  • Implement advanced collaboration tools for multi-stakeholder model development

Market Expansion (Q2-Q4 2025)

  • Extend presence to Boston/Cambridge healthcare ecosystem
  • Launch partnerships with key HEOR consulting firms
  • Begin international market exploration, focusing on UK and EU markets

Pricing Model

High-Value, Low-Seat SaaS

  • Enterprise subscriptions priced based on usage parameters like number of models, user seats, and data integrations.
  • Substantial cost savings compared to large-scale consulting projects.
  • Value proposition is that once a client invests in SuperModel, they can reuse it across multiple projects or submissions without starting from scratch.

Regulatory Compliance & Alignment

Pre-Configured Templates

  • NICE, AMCP, FDA, CMS, PBS, and other major HTA formats are already embedded.
  • Minimizes rework in preparing submissions across different global markets.
  • Regular updates to maintain alignment with evolving regulatory requirements.
  • Commitment to validation through partnerships with regulatory bodies and academic institutions.

Data Security & Privacy

  • Focus on HIPAA compliance for US data, GDPR for global data, and ensuring proper auditing.
  • Potential for external certification (HITRUST) to boost credibility when handling sensitive health information.
  • Regular security audits and penetration testing to ensure data protection.
  • Transparent data handling practices with detailed documentation.