We build data platforms that integrate experimental, omics, and public molecular data into a single, analysis-ready environment for discovery research. These systems combine automated data ingestion, harmonization pipelines, and semantic or graph-based data layers to support target identification, validation, and AI-assisted analysis.

Key Benefits

  • Automated data ingestion
  • Semantic/graph-based data layers
  • LLM-driven literature mining
  • AI-assisted hypothesis generation

Our Approach

  • Automated data ingestion
  • Harmonization pipeline development
  • Semantic/graph-based modeling
  • LLM-driven literature mining

Use Cases

  • Target identification
  • Multi-omics integration
  • Knowledge graph drug discovery
  • AI biomarker discovery

Ready to Get Started?

Let's discuss how we can help with your pharma & biotech research needs.

Contact Us