Compare answers from multiple AI providers in a private, local-first thinking workspace

Compare answers from multiple AI providers in a private, local-first thinking workspace targets a $18.0B = 3M teams × $6K ACV (targeting small-to-mid teams and professional users who pay for advanced AI productivity tools) total addressable market with medium saturation and a year-over-year growth rate of ~30% YoY based on McKinsey and Gartner reports about generative AI adoption and enterprise AI spending growth.

Key trends driving demand: Model diversity — organizations increasingly use multiple LLM providers, creating demand for orchestration and comparison tools.; Privacy and data ownership — customers prefer BYO-key and local-first options to avoid exposing sensitive prompts and data to third parties.; Workflow-driven AI — users want tools that organize model outputs into reproducible, branched reasoning workflows rather than single linear chats.; Edge and local runtimes — growth of local LLM runtimes (llama.cpp, GGML) enables private, offline model execution which supports client-first architectures..