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Dulra.io

Dulra.io provides an AI-powered ecological data management platform designed to support biodiversity net gain, habitat assessment, and environmental monitoring. The platform helps organizations streamline ecological data collection, analysis, and reporting to meet regulatory requirements and sustainability goals. It targets environmental consultancies, developers, and land managers who need robust tools for managing biodiversity data.

Dublin, Ireland · HQ
Founded 20212700+ followers
  • Artificial Intelligence
  • Data & Analytics
  • Clean Technology
  • Software Only
Updated 16 days ago

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Ecological data management and biodiversity net gain assessments are often fragmented, relying on manual data collection, disparate spreadsheets, and inconsistent methodologies. This makes it difficult for organizations to accurately measure habitat value, track changes over time, and demonstrate compliance with evolving environmental regulations and sustainability targets.

Solution

Dulra.io offers an AI-powered platform that centralizes ecological data management, enabling users to conduct habitat assessments, monitor environmental changes, and calculate biodiversity net gain. The platform leverages machine learning to automate data analysis, identify patterns, and generate actionable insights from ecological surveys. It provides a structured workflow for capturing field data, managing species and habitat records, and producing standardized reports that support regulatory submissions and sustainability reporting. By digitizing and streamlining these processes, Dulra.io helps organizations reduce manual effort, improve data accuracy, and make more informed land-use and conservation decisions.

Target Audience

Primary users are environmental consultants, ecologists, land developers, and sustainability teams within construction, infrastructure, and land management sectors who need to manage biodiversity data and meet net gain obligations.

Features

  • AI-driven habitat classification and condition assessment using image recognition and spatial analysis
  • Centralized database for storing species records, survey plots, and habitat maps with version control
  • Automated biodiversity net gain calculations aligned with statutory metric frameworks
  • Interactive dashboards and visualization tools for tracking ecological trends and project progress
  • API integrations for importing data from GIS tools, field survey apps, and environmental sensors
  • Audit trail and export functions for generating compliance-ready reports
This profile is AI-generated and may contain inaccuracies.