Bad AI output often starts with bad ingestion — score & surface useful source chunks

Bad AI output often starts with bad ingestion — score & surface useful source chunks targets a $24.0B = 2,000,000 digital-first businesses worldwide x $1,000/year content-quality tooling total addressable market with medium saturation and a year-over-year growth rate of 20-35% — rapid adoption of RAG, knowledge management and AI writing tools.

Key trends driving demand: RAG adoption -- more teams are using retrieval-augmented generation but report hallucinations tied to poor sources, increasing demand for better ingestion.; Knowledge-first AI -- companies prefer models grounded in their own docs rather than generic LLM outputs, creating demand for high-signal content pipelines.; Vector infra maturation -- managed vector DBs and embedding APIs lower infra friction, enabling specialized tooling on top of them.; Content ops automation -- marketing & product orgs are consolidating documentation and case studies, creating centralization opportunities for ingestion tools..