Market Opportunity
Search across multiple LLM chat histories to find past prompts and answers quickly targets a $6.0B = 30M knowledge workers × $200 ACV total addressable market with medium saturation and a year-over-year growth rate of 15-20% YoY — enterprise AI productivity and knowledge tools adoption (Gartner/IDC 2023-2024 estimates).
Key trends driving demand: Multiple LLM adoption — organizations and individuals routinely use two or more LLM providers, creating fragmented conversational data and demand for central search.; Vector search commoditization — inexpensive vector DBs and managed embedding services make high-quality semantic search feasible for startups.; Enterprise AI governance — companies increasingly require auditability and retention controls for AI interactions, favoring centralized solutions with provenance.; Productivity automation — rising ROI expectations for AI-driven task automation create willingness to pay for tools that reduce repeated effort and speed decision making..
Key competitors include Mem (mem.ai), Rewind, Glean, Deepset (Haystack).
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