Connect fragmented AI tools into a single context-aware workspace

Connect fragmented AI tools into a single context-aware workspace targets a $48.0B = 30M business teams × $1.6K ACV average per team per year (knowledge-work productivity + AI workspace spend) total addressable market with medium saturation and a year-over-year growth rate of 15% YoY enterprise AI adoption and productivity tools growth (source: combined estimates from Gartner and McKinsey on AI adoption and digital collaboration growth).

Key trends driving demand: LLM adoption — Teams are increasingly embedding LLMs into workflows, creating demand for persistent context and orchestration so model outputs are reliable and auditable.; Composable integrations — Companies prefer composable stacks and reusable connectors, which creates opportunity for a workspace that ties models to existing SaaS and internal data sources.; Shift from pilots to production — Organizations are moving from point AI experiments to production workflows, increasing demand for tools that operationalize multi-step AI tasks.; Democratization of automation — Non-technical users expect no-code/low-code interfaces for building workflows, so approachable AI workflow editors unlock broader adoption..