Trace cutting-edge science to first principles with an interactive dependency graph

Trace cutting-edge science to first principles with an interactive dependency graph targets a $3.6B = 10M researchers & advanced learners × $360 annual spend on research/knowledge tools total addressable market with medium saturation and a year-over-year growth rate of 10% YoY (estimate based on EdTech growth and increasing R&D tooling spend; source: industry estimates for research and edtech software growth).

Key trends driving demand: Open, machine-readable scholarship — public APIs like OpenAlex and Crossref make large-scale ingestion feasible which lowers the data barrier for new tools.; AI-enabled extraction and summarization — LLMs and fine-tuned models enable automated claim, method and citation extraction to seed graphs rapidly.; Demand for explainability and provenance — both academia and industry want reproducible chains of evidence, creating demand for lineage tools.; Interdisciplinary research growth — more cross-field work increases the value of tools that reveal prerequisites and where disciplines intersect..