Context-aware corpus analysis — detect and surface missing domain knowledge

Context-aware corpus analysis — detect and surface missing domain knowledge targets a $15.0B = 500,000 organizations (global mid+large orgs + agencies) x $30K ACV total addressable market with medium saturation and a year-over-year growth rate of 18% CAGR (text analytics / NLP enterprise market).

Key trends driving demand: LLM democratization -- off-the-shelf large models + embeddings enable rapid prototyping of context-sensitive retrieval and explainability features.; Regulated-data scrutiny -- stricter compliance demands provenance and audit trails for automated language analysis outputs, favoring solutions with explainability.; Shift from keyword to semantic analysis -- companies want deeper meaning and nuance detection (sentiment, stance, irony) that blunt corpus methods miss..