Overview
Canopy is a creative workflow platform built for designers, writers, and other creative professionals who need flexible tools that support their process rather than prescribe it. The platform combines project management, asset organization, and collaboration features into an interface that adapts to different creative workflows.
Using AI to reduce administrative overhead, Canopy handles routine organization tasks so creators can focus on their craft. The system learns from how you work and adjusts its suggestions and automations accordingly.
Problem Space
Creative professionals often struggle with tools designed for traditional project management. These systems impose rigid structures that conflict with the iterative, non-linear nature of creative work. The result is either abandoning the tools entirely or spending time fighting against them.
Canopy addresses this by providing structure that flexes with creative processes. Projects can evolve organically, workflows can shift mid-stream, and the system accommodates rather than constrains these changes.
Core Capabilities
Adaptive Workflows
Flexible project structures that accommodate different creative processes without forcing rigid methodologies.
Smart Asset Management
AI-powered organization that automatically tags, categorizes, and surfaces relevant assets when you need them.
Version Intelligence
Automatic version tracking with smart comparison tools that highlight meaningful changes across iterations.
Collaborative Feedback
Streamlined review and feedback tools that keep conversations connected to specific assets and versions.
Current Status
Canopy is in early development. We're conducting research with creative professionals to understand workflow patterns and pain points before building core features. This discovery phase ensures the product solves real problems rather than imagined ones.
We're focused on identifying the minimum set of features that provide genuine value without recreating existing tools unnecessarily. The product is not yet available for testing.