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YEAR ONE IMPACT REPORT
Table of Contents

Polliknow

polliknow.com
Polliknow
Scalable, verifiable biodiversity tracking that eliminates costly, labour‑intensive ecological surveys
UN Sustainable Development Goals
Polliknow is a scalable hardware platform with an AI‑powered optical sensor and a fully integrated MRV stack that automates biodiversity tracking. Because nature restoration depends on scalable, verifiable measurement, Polliknow replaces labour‑intensive, costly monitoring with continuous, high‑integrity data. This enables land managers and corporations to track pollinator diversity in real time and confidently demonstrate biodiversity uplift.

Problem

Traditional biodiversity monitoring depends on slow, manual, and invasive ecological surveys that capture only a narrow snapshot of ecosystem health. Field teams often spend six hours to generate just two hours of usable data, with observation accuracy dropping to 44%. Costs range from €1,300–€2,500 per site visit, and compliance surveys exceed €5,000, meaning a 20‑site portfolio can surpass €100,000 annually. This creates a major data gap for organisations facing strict mandates like BNG, CSRD/ESRS E4, and TNFD. With insects representing 80% of animal species yet only ~2% having extinction‑risk data, the lack of continuous, high‑integrity monitoring leaves biodiversity uplift and risk mitigation largely unmeasurable.

Solution

Polliknow uses autonomous, non‑invasive ground sensors and AI to continuously track insect pollinator diversity and abundance—data that has never been captured at scale before. By converting raw field observations into automated, audit‑ready ecological intelligence, it enables corporations, renewable‑energy operators, and land managers to monitor species richness in real time and demonstrate biodiversity compliance. The system delivers 20× more data than manual surveys while cutting inspection labour by 70%, reducing monitoring costs to €13 per hour versus €83. Its rapidly expanding dataset—2.8 million proprietary images and 300,000+ annotated samples—already supports strong edge performance with 74% detection and 81% species‑classification accuracy.

Polliknow Impact Overview

Polliknow’s system integrates solar‑powered sensor hardware, AI/computer‑vision models, ecological datasets, and geospatial inputs, supported by partnerships with land managers and infrastructure operators. These inputs create a foundation for continuous, autonomous biodiversity monitoring that replaces slow, manual, and intermittent ecological surveys. Together, they enable high‑integrity, site‑specific data collection at a scale previously impossible.

Through edge‑AI development, data labelling, model training, and hardware deployment, Polliknow captures and aggregates real‑time pollinator activity. Existing site data is incorporated, and pollinator patterns are mapped against local flora, pesticide use, and land‑management practices. This workflow produces rapid baselines, species‑level identification, and verifiable evidence showing whether interventions actually work—turning raw field observations into audit‑ready ecological intelligence.
As acreage under active monitoring expands, organisations reduce the time and cost required to generate high‑quality biodiversity data. Over time, this enables corporations, renewable‑energy sites, and land managers to improve conservation effectiveness, demonstrate compliance, and confidently evaluate biodiversity impact at scale.

Impact KPIs

Impact Measurement & Management (IMM) Status
BLUE

Polliknow has been compiling the historical metrics needed to set targets for Year 1 and beyond.

KPI 1
Acreage monitored
KPI 2
Reduction in resources (time/money) required to produce the same impact output
KPI 3
Amount of high quality or audit-ready data

Impact Measurement & Management Status Key

  • GREEN

    Green Tag: Monitoring Framework Set

    Fully Set Up & Active Insights: Portfolio companies marked in green, have fully set up their Impact KPI framework. We provide comprehensive insights into their metrics and verified impact outcomes.

  • BLUE

    Blue Tag: KPI Target Set

    Data Collection & Target Calibration: Portfolio companies marked in blue are actively collecting data points to set accurate, realistic targets for their Impact KPIs.

  • ORANGE

    Orange Tag: Early Stage & Onboarding

    Deal Closed, IAC Endorsed, KPIs Set: Portfolio companies marked in orange are at the beginning of the IMM process, having only recently joined our portfolio. They have established initial KPI alignment with the investment team and with guidance from our Impact Advisory Committee (IAC).