Eliminate context-switching with a self-evolving personal AI that runs on your VM

Eliminate context-switching with a self-evolving personal AI that runs on your VM targets a $120.0B = 500M knowledge workers x $240/yr (avg productivity & assistant spend) total addressable market with medium saturation and a year-over-year growth rate of 40% — rapid expansion in AI-assistant adoption and productivity tooling spend.

Key trends driving demand: LLM performance leaps -- higher-quality, lower-latency models enable proactive, reliable outputs rather than only reactive chat;; On-prem & private-cloud demand -- enterprises and professionals want private, auditable personal models that don't leak data;; Background compute & edge capabilities -- cheaper inference enables always-on, proactive workflows that prepare context in advance;; Subscription & productivity monetization -- companies increasingly willing to pay for measurable time savings per user..