Help every customer find the right plant for their space.

Let customers scan their room, balcony, or garden and instantly discover which plants from your inventory will thrive there.

Spatial perception scan
The category

Plants need context.
Commerce needs perception.

Traditional plant commerce relies on filters, product pages, and generic care labels. Blossm AI adds spatial intelligence: models that analyze where a plant will live before the purchase happens.

Understand the space

Rooms, shelves, corners, balconies, gardens, and planting zones — recognized and segmented in 3D.

Understand the light

Direct sun, bright indirect, medium, low, deep shade, and outdoor partial shade — modeled per surface.

Understand the fit

Placement constraints, window distance, obstructions, and the conditions that make a plant succeed.

On-environment software

Real-world scanner software for plant-environment understanding.

Full-stack AI for live plant-environment understanding across indoor, balcony, and garden contexts — built for commerce deployment.

AI scan of an indoor living room with wireframe overlays

Blossm Indoor

AI perception for indoor plant placement — rooms, shelves, windowsills, corners, and low-light spaces.

  • · Light classification
  • · Placement detection
  • · Window distance
  • · Furniture & curtain obstruction
  • · Space estimation
AI scan of a balcony with wireframe overlays of plants and railing

Blossm Balcony

AI perception for balconies, terraces, railing zones, and semi-outdoor placement contexts.

  • · Direct sun exposure
  • · Partial shade detection
  • · Balcony roof coverage
  • · Railing & wall obstruction
  • · Container placement
AI scan of a garden with planting beds and wireframe overlays

Blossm Garden

AI perception for gardens, beds, patios, and outdoor planting zones across seasons.

  • · Open-sky visibility
  • · Tree & building shade
  • · Planting area context
  • · Outdoor light class
  • · Zone suitability
Foundation models

Foundation models trained with spatial supervision and generative AI.

Our perception models are trained on large-scale real-world plant-environment data and augmented with generative AI dioramas of rooms, balconies, and gardens. They adapt automatically to new homes and unseen conditions, while fine-tuning resolves rare placement and lighting edge cases.

Rooms simulated for perception training
Indoor

Rooms simulated for perception training

Synthetic indoor scenes with controlled light, windows, and placement geometry help the system learn how plants experience real rooms.

Semi-outdoor environments at scale
Balcony

Semi-outdoor environments at scale

Procedurally generated balconies expose the system to railings, roof coverage, and the partial-shade conditions plants actually face.

Outdoor planting zones, end-to-end
Garden

Outdoor planting zones, end-to-end

Garden dioramas cover open-sky visibility, building shade, and planting-area context to help the system understand outdoor conditions.

AI foundation systems

Plant-specific perception and reasoning.

Blossm AI combines visual understanding, spatial context, and plant-specific intelligence to understand whether a plant will thrive in a real environment.

SYS·01

Environmental Perception

Analyzes the visual conditions that influence plant health across indoor and outdoor spaces.

Light qualitySurface contextOpen spaceEnvironmental cues
SYS·02

Spatial Understanding

Interprets where a plant would live and how that position relates to the surrounding environment.

Placement zoneNearby structuresRoom geometryDistance signals
SYS·03

Plant Fit Intelligence

Transforms environmental understanding into structured plant-suitability profiles.

Growth conditionsSpace fitCare constraintsRecommendation logic
Platform architecture

From scan to structured intelligence.

Blossm AI does not simply classify images. It combines multiple perception layers into a structured understanding of the environment — transforming raw camera input into plant-fit intelligence consumable by retailers, garden centers, and commerce platforms.

01Camera / AR Session
02Spatial Tracking
03Light Classification
04Placement Classification
05Window Analysis
06Obstruction Reasoning
07Plant Fit Profile
08Commerce API
Use cases

Built for the next generation of plant commerce.

Case · 01

Online plant shops

Add AI scanning to ecommerce journeys and help customers choose plants based on their real environment.

Case · 02

Garden centers

Enable customers to scan their garden, balcony, or room and connect the result to local inventory and click-and-collect.

Case · 03

Plant marketplaces

Standardize plant-fit intelligence across thousands of SKUs and multiple sellers.

Built for plant-environment intelligence

A proprietary intelligence layer for matching plants to real-world spaces.

Blossm AI turns environmental context into practical plant recommendations. Instead of relying only on product filters or generic care labels, Blossm analyzes the space, interprets plant-relevant conditions, and connects them with suitable products.

01

Understand the space

Blossm reads the surrounding environment and identifies the signals that matter for plant success.

02

Interpret plant fit

The system translates environmental context into structured suitability profiles.

03

Recommend with context

Recommendations are generated based on the actual place where the plant is expected to live.

Contact

Bring spatial intelligence to plant commerce.

Blossm AI helps retailers understand where plants will live — before the purchase happens.