Start with the place.
Consider regional climate patterns, local site constraints, and growing conditions before comparing species.
Canopria is building a decision workspace for urban planting teams: site context, research evidence, and trade-offs in one reviewable brief.
What belongs here — and why?
Our first use case is urban tree planting. We are designing a workflow that turns site constraints and species research into briefs practitioners can check before planting.
Consider regional climate patterns, local site constraints, and growing conditions before comparing species.
Use a retrieval-based research workflow to connect candidate choices with relevant reference material.
Make assumptions, uncertainty, and decision criteria visible instead of delivering an unexplained list.
For an example site in Ankara, the planned brief would bring climate and water exposure, soil and rooting space, candidate species, maintenance needs, and source material into one reviewable view.
Explore the illustrative briefTry the interaction below. It demonstrates the intended workflow, without pretending to run a scientific assessment or a live AI model.
Select a site context and generate an example of the questions Canopria is being designed to address.
Regional climate, site exposure, water availability, and soil characteristics.
Candidate species, credible references, local regulations, and review by a qualified practitioner.
This is a sample planning outline, not an actual species recommendation or validated assessment.
INTERACTIVE CONCEPT DEMO · NO LIVE ENVIRONMENTAL DATA OR AI MODEL
The planned Claude API step will synthesize retrieved sources into a brief with citations, trade-offs, and explicit gaps. The preview above demonstrates the interface; it does not call an AI model.
Bring together site constraints, candidate species, and dated reference material. Mark missing conditions before drafting.
Ask Claude to synthesize retrieved sources, compare trade-offs, and make uncertainty explicit in a readable brief.
Evaluate source alignment and unsupported claims, then leave field decisions to a qualified practitioner.
Tree-selection decisions influence living spaces for decades. We want to make the research behind those choices more accessible and transparent.
Have a use case in mind? Let's talkMake urban planting decisions easier to document and discuss.
Explore species considerations alongside local site constraints.
Bridge environmental information, reference material, and applied decisions.
Canopria builds on an independently developed environmental decision-support prototype. Its core retrieval and data-processing workflow has already been developed.
We are shaping that research into a usable tree-selection product. Next come verified environmental inputs, Claude API integration, external user validation, and pilot partnerships.
Core RAG retrieval and data-processing workflow developed; public interface concept
Verified environmental inputs and Claude API integration
Source checks and practitioner review on real planning questions
We are looking for conversations with municipal, landscape, and environmental teams to shape a pilot and test the value of a source-linked planning brief.
Discuss a pilot