
Environment • Finance • Artificial Intelligence
Pivotal Future is a company dedicated to fostering a balance between nature and business by incentivizing the regeneration of biodiversity. They focus on providing data that allows individuals and companies to invest in positive outcomes for the environment. Utilizing a combination of technologies to capture ground-level biodiversity data, Pivotal Future applies machine learning and expert analysis to ensure the data's accuracy and utility. Their mission includes linking biodiversity gains to financial mechanisms such as biodiversity credits and sustainability-linked bonds, facilitating investment flow to effective environmental projects. Ultimately, they strive to create shared economic opportunities while ensuring tangible improvements in biodiversity, making nature restoration financially rewarding.
11 - 50 employees
💸 Finance
🤖 Artificial Intelligence
💰 Seed Round on 2023-04
November 8

Environment • Finance • Artificial Intelligence
Pivotal Future is a company dedicated to fostering a balance between nature and business by incentivizing the regeneration of biodiversity. They focus on providing data that allows individuals and companies to invest in positive outcomes for the environment. Utilizing a combination of technologies to capture ground-level biodiversity data, Pivotal Future applies machine learning and expert analysis to ensure the data's accuracy and utility. Their mission includes linking biodiversity gains to financial mechanisms such as biodiversity credits and sustainability-linked bonds, facilitating investment flow to effective environmental projects. Ultimately, they strive to create shared economic opportunities while ensuring tangible improvements in biodiversity, making nature restoration financially rewarding.
11 - 50 employees
💸 Finance
🤖 Artificial Intelligence
💰 Seed Round on 2023-04
• Identification of species from lowland Uganda via online data • Support the design of biodiversity surveys • Feedback on data collection methods to improve automated identification
• Ability to identify species from acoustic data or high-resolution images • Expertise in biodiversity and ecology • Experience in machine learning model training and feedback
• Flexible work arrangements • Professional development opportunities
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