PlantFrame was built to replace guesswork in plant care with data. We develop tools grounded in horticultural research and make them accessible to everyone — from first-time plant owners to professional growers managing hundreds of specimens.
Most plant care advice is vague or inconsistent. "Water when dry" means nothing without context. "Bright indirect light" can describe a window in Helsinki in January or a conservatory in Lisbon in July. PlantFrame quantifies these variables and translates them into specific, actionable recommendations calibrated to your plant's actual conditions.
Every recommendation in our tools is derived from published horticultural studies, not anecdote. We update parameters when better data becomes available.
Generic advice serves no one. Our tools ask specific questions and return specific answers. Vague outputs are a failure mode we actively design against.
Both tools are free with no account, no subscription, and no time limits. Plant health should not depend on ability to pay for software.
We do not claim our tools replace an experienced horticulturist. We are transparent about what the models can and cannot account for.
Mara leads the research function at PlantFrame. She holds a master's degree in plant biology and has spent nine years studying soil-moisture dynamics in controlled greenhouse environments.
Daniel oversees the tool logic for light and photosynthesis-related calculations. His background includes work with three European botanic gardens on environmental monitoring systems.
Claire develops the substrate and soil composition models used across PlantFrame's diagnostic tool. She consults independently for rare plant collectors and institutional collections.