EcoAssess AI brings environmental assessment into one workflow—combining document evidence, GIS screening, fieldwork, regulatory sources, impact and risk assessment, and report generation. Its focus is traceability: evidence is linked to its source, AI inferences are clearly identified, risk calculations are deterministic, and findings remain subject to human verification. It is built to make environmental assessment more organised, transparent, and efficient.
What parts of environmental assessment take you the most time today document review, GIS, fieldwork, regulations, risk assessment, or reporting? I d also love to know which features would make EcoAssess AI genuinely useful in your day-to-day work.
EcoAssess AI started from a simple problem: environmental assessments involve a lot of documents, evidence, GIS work, field observations, regulations, and reporting, which can be time-consuming to organise.
I wanted to build one workspace that brings these parts together while keeping evidence traceable and human review at the centre.
The idea evolved from a small AI assessment prototype into a broader platform focused on evidence provenance, GIS screening, fieldwork, regulatory sources, risk assessment, and transparent AI-assisted reporting.