Delivering data-driven insights for effective decision-making
Gain invaluable insights from your samples
Harness the power of environmental DNA assessments to unlock big-data opportunities. Enhance biodiversity outcomes for your projects by leveraging the invaluable insights provided through eDNA monitoring. Applied Genomics can offer several additional services tailored to enhance biodiversity outcomes for our clients' projects:
Biodiversity Net Gain Assessments
We offer expertise in biodiversity net gain assessments, helping clients quantify the biodiversity benefits of their projects and develop strategies to enhance biodiversity outcomes. This includes developing metrics to measure biodiversity net gain, conducting baseline assessments, and designing mitigation and compensation measures to achieve biodiversity targets.
ESG Reporting Support
We provide support for your Environmental, Social, and Governance (ESG) disclosures, including assistance with data collection, analysis, and reporting to meet regulatory requirements, such as the EU Sustainable Finance Disclosure Regulation (SFDR), Articles 8 & 9; EU Corporate Sustainability Reporting Directive (CSRD); UK Sustainability Disclosure Requirements (SDR) and others. Our services can help clients accurately assess their environmental impact and biodiversity performance, ensuring compliance with evolving sustainability frameworks.
Advisory Services
We provide advisory services on voluntary biodiversity reporting frameworks, such as the UN Principles for Responsible Investment (PRI), Taskforce on Nature-related Financial Disclosures (TNFD), and EU SFDR Article 6, to help clients align their biodiversity strategies with international best practices. This includes guidance on setting biodiversity targets, measuring biodiversity performance, and disclosing biodiversity-related risks and opportunities in financial reports.
Data Integration and Analysis
We develop custom data integrations and bespoke analyses that consolidate eDNA monitoring data with other environmental datasets (e.g., satellite imagery, physico-chemistry, climate data) to provide insights into ecosystem health, biodiversity trends and population tipping-points. We have a proven track record for leveraging advanced analytical techniques, such as machine learning and predictive modeling, to identify patterns and correlations, enabling more informed decision-making.