Development Roadmap

Our phased approach to building a credible, transparent CRISPR decision intelligence platform.

Prototype

  • Working MVP with core design logic
  • Streamlit interface for testing
  • Modular architecture (strategy, scoring, explanation)

Data Integration

  • Integration with public genomics databases
  • Off-target prediction model refinement
  • Efficacy scoring framework expansion

Model Improvement

  • Benchmarking against published data
  • Support for base editing and prime editing
  • Learning mechanisms for outcome feedback

Research Validation

  • Collaboration with academic labs
  • Peer-reviewed publication of results
  • Open feedback from research community

Our Development Principles

  • ✓Transparency: All methodological choices documented and available for critique
  • ✓Reproducibility: Results benchmarked against published standards and independent validation
  • ✓Honesty: Clear communication about limitations, confidence levels, and areas needing improvement
  • ✓Collaboration: Open to feedback from researchers, clinicians, and the broader biotech community
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