
Insight 1
Grasshopper data should not always stay temporary
Some information deserves persistence
When parametric workflows start producing important project data, it can be useful to store that information outside the active Grasshopper session.
Ontologic concept
Move beyond temporary model data by connecting Grasshopper to persistent databases and model-sharing infrastructure.
A workflow for moving beyond temporary Grasshopper data by connecting parametric models to Supabase, Speckle and more persistent project information.
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Key insights
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Insight 1
Some information deserves persistence
When parametric workflows start producing important project data, it can be useful to store that information outside the active Grasshopper session.
Insight 2
Insight 2
Project information can live beyond one model state
Supabase-style workflows make it possible to store options, assumptions, metrics and records in a way that other tools can access.
Insight 3
Insight 3
Geometry and metadata become shareable
By combining Grasshopper, Speckle and database logic, computational design workflows can become part of a larger project information system.
Work with Ontologic
Ontologic helps AEC teams design and implement computational design systems, BIM/data workflows, automation tools and custom software for real project contexts.
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Related concepts
Continue with related Grasshopper, AI, BIM and AEC automation ideas.

Move parametric model data from Grasshopper into a format that more people can inspect, edit and discuss.

Use Grasshopper and Speckle to structure, share and communicate lightweight BIM information.

Connect parametric options to a simple review environment for design comparison and decision-making.