About
Wilder Sensing is an AI-driven Software-as-a-Service (SaaS) platform purpose-built for high-quality biodiversity monitoring and reporting. The platform follows a three-step process: soundscapes are recorded using commercially available equipment, the audio files are processed by AI models that identify species from their sounds, and the results are published to an intuitive analytics dashboard where users can explore trends, filter data, and generate reports. The real-time, customisable dashboard is designed to be accessible to professional ecologists, environmental consultants, volunteers, and citizen scientists alike—no deep technical expertise is required. Wilder Sensing supports a broad range of use cases including short-term and long-term biodiversity surveys, environmental impact assessments, site restoration planning, grant application evidence gathering, and evidence-based reporting for compliance with international frameworks such as TNFD, CSRD, and the UK's Biodiversity Net Gain requirement. The platform serves diverse sectors including ecological and environmental consultancies, construction, agriculture, extractive industries, energy and utilities, transport infrastructure, and academic research. By making rigorous biodiversity data collection affordable and scalable, Wilder Sensing helps organisations invest confidently in nature recovery and meet increasingly demanding sustainability reporting obligations.
Key Features
- AI Species Identification from Audio: Automatically processes soundscape recordings to identify species present on a site, turning raw audio files into structured ecological data.
- Real-Time Customisable Dashboard: An intuitive analytics platform that allows users to explore biodiversity trends, filter results, and generate reports without specialist data skills.
- Multi-Solution Coverage: Supports short-term surveys, long-term monitoring, environmental impact assessments, site restoration, grant applications, and evidence-based reporting in a single platform.
- Regulatory Reporting Alignment: Produces evidence-based outputs compatible with TNFD, CSRD, and UK Biodiversity Net Gain reporting requirements.
- Sector-Agnostic Scalability: Designed for use across construction, agriculture, energy, transport, mining, research, and ecological consultancy sectors.
Use Cases
- Conducting environmental impact assessments for construction or infrastructure development projects that require robust biodiversity baseline data.
- Long-term ecological monitoring of rewilding, nature recovery, or habitat restoration sites to track changes in species diversity over time.
- Generating evidence-based biodiversity reports for regulatory compliance with TNFD, CSRD, and Biodiversity Net Gain frameworks.
- Supporting conservation or habitat restoration grant applications with quantitative, AI-verified species presence and trend data.
- Enabling landowners and property managers to adopt nature-friendly site management strategies informed by real acoustic biodiversity data.
Pros
- Accessible to Non-Specialists: The platform is designed for professional ecologists, volunteers, and citizen scientists alike, lowering the barrier to rigorous biodiversity monitoring.
- End-to-End Solution: Covers the full project lifecycle from initial survey design through data collection, AI analysis, and final regulatory reporting.
- Cost-Effective at Scale: SaaS delivery model makes high-quality biodiversity data affordable compared to traditional manual survey methods.
Cons
- Hardware Procurement Required: Customers typically need to purchase their own audio recording equipment, adding an upfront hardware cost outside the SaaS subscription.
- Primarily Audio-Based: The core methodology relies on soundscape data, which may not fully capture species that are silent or detected more reliably via visual or eDNA methods.
- No Public Pricing: Pricing is not listed on the website; prospective customers must contact the team directly for quotes, making budget planning less straightforward.
Frequently Asked Questions
The platform uses AI models trained to recognise the unique sounds of different species. Audio files recorded on-site are uploaded to the platform, where the AI processes them to identify which species produced each sound and generate a species inventory for the site.
No. The platform is intentionally designed for a wide audience including professional ecologists, environmental consultants, land managers, volunteers, and citizen scientists. The dashboard provides accessible visualisations that do not require specialist data analysis skills.
Wilder Sensing works with commercially available audio recorders. Customers typically purchase their own equipment; the Wilder Sensing team helps design the survey including the number of recorders and configuration required for each project.
Wilder Sensing supports evidence-based reporting for TNFD (Taskforce on Nature-related Financial Disclosures), CSRD (Corporate Sustainability Reporting Directive), and UK Biodiversity Net Gain requirements.
The platform serves ecological and environmental consultancies, construction, extractive and mining industries, agriculture, energy and utilities, transport (roads and railways), academic research, and supply chain organisations that need biodiversity monitoring as part of sustainability commitments.