Deictic-resolution for chatbots — automatic coreference API for conversations

Deictic-resolution for chatbots — automatic coreference API for conversations targets a $35.0B = 200,000 mid+large enterprises x $175K average yearly spend on conversational/AI/customer-experience software total addressable market with medium saturation and a year-over-year growth rate of 22% (conversational AI & CX automation market growth).

Key trends driving demand: LLM-led automation -- enterprises replacing scripted bots with multi-turn LLM agents, increasing need for robust context handling; RAG & vector DBs -- teams increasingly separate retrieval and reasoning, enabling middleware to insert resolved referents before generation; Token-cost sensitivity -- businesses prefer pre-processing ambiguity off-model to save tokens and reduce hallucinations; Multimodal conversation -- references span text, images, and attachments, increasing the complexity of deictic resolution and the value of specialized middleware.