Searchable cross-meeting memory for teams — capture, link, and recall context

Executive Summary

Knowledge workers—roughly 180 million globally—are increasingly drowning in meetings and fragmented context, which creates duplicated work, missed follow-ups, and slow onboarding for cross-functional teams. This problem is acute in client-facing teams (sales, customer success, consulting), product and engineering groups that iterate across many short syncs, and distributed companies trying to keep decisions and action items discoverable over time. You could build an always-on, searchable cross-meeting memory that captures audio, performs ASR, extracts entities/actions with LLMs, links mentions into persistent profiles for people, clients, and projects, and surfaces contextual summaries and action items directly in calendars, CRMs, or a universal search. Key product pillars would be cross-meeting linking (not just per-meeting notes), entity-centric recall, confidence-scored summaries, human-in-the-loop verification, and enterprise-grade privacy and connector support. The market timing is compelling: a $72B addressable opportunity (180M knowledge workers × $400 ARR/user), supported by a Market Score of 92/100 and Revenue Potential of 88/100, driven by meeting overload, rapid improvements in ASR/LLM quality, and corporate priorities to consolidate knowledge into single sources of truth. To stand out you must deliver precision and control—opt-in capture, on-prem or VPC deployment, strict compliance, and integrations that reduce friction for existing workflows—while proving ROI via metrics like fewer follow-up meetings, faster onboarding, and reduced churn. The honest challenges are medium competitive intensity, enterprise sales cycles, and the engineering burden of minimizing errors and hallucinations; if you can solve those reliably, the combination of strong tailwinds and a differentiated architecture makes this a business worth exploring.