Infallible

Digital tools for measuring biodiversity offer promising accuracy and scalability but come with inherent limitations. Data quality can be compromised by low resolution, and algorithms may introduce biases, particularly in unfamiliar ecosystems. Species identification can be challenging, leading to errors, while environmental changes, such as seasonal or climate variations, can further skew results. Human error, in handling or processing data, adds another layer of potential inaccuracy. Additionally, timing constraints can limit insights into seasonal or daily species activities, and limited field verification often results in discrepancies. While advancements in digital nature tech are ongoing, local expertise and field checks remain crucial for accurate biodiversity assessments. Our aim is to build the world's best biodiversity credit market, one that recognises the true value of nature, results in an equitable distribution of benefits and empowers local communities along the way!