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Orchestrate multiple LLMs and tools into one project workflow

Stop switching between Claude, ChatGPT and plugins: a unified project orchestration layer routes tasks to the best model, tracks context and integrates with dev and note tools to save time and reduce friction.

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Market Opportunity

Orchestrate multiple LLMs and tools into one project workflow targets a $6.0B = 2M teams × $3K ACV total addressable market with medium saturation and a year-over-year growth rate of 30% YoY (IDC/Forrester estimates for AI developer tools and workflow automation, 2024).

Key trends driving demand: Multi-model adoption — teams are adopting different LLMs for specialized tasks, creating demand for routing and orchestration tools that hide model heterogeneity.; AI-driven developer productivity — improved model capabilities reduce engineering time for integrations, enabling small teams to implement orchestration quickly.; Shift to API-first tooling — commoditization of model access via APIs makes it easier to swap and test models, so organizations need a layer that manages model selection and costs.; Content & code convergence — projects increasingly blend code, documentation, and content creation, creating a need for tools that preserve shared context across modalities..

Key competitors include LangChain, Pipedream, Zapier.

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