Analyze LLM-discovered linguistic patterns — corpus-linked model analysis

Analyze LLM-discovered linguistic patterns — corpus-linked model analysis targets a $6.4B = 80,000 potential orgs (universities, NLP labs, enterprise AI teams) x $80K ACV total addressable market with low saturation and a year-over-year growth rate of 25% projected adoption growth for NLP research tooling.

Key trends driving demand: Model accessibility -- inexpensive inference APIs let researchers probe many models rapidly, increasing demand for tooling to synthesize results.; Reproducibility push -- publishers/funders push for reproducible model analyses, creating demand for provenance and pipeline tooling.; Explainability & governance -- regulation and enterprise risk teams require interpretability, benefiting research-grade analysis platforms.; Open datasets & hubs -- model hubs and corpus releases expand the substrates researchers need to compare against, driving tooling for corpus linkage..