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Data For Good

Advance Technology to Preserve and Improve Life on Earth

  • ParcsGabon
  • wcs
  • WWF
  • WHO
Data for Good Initiative forest image

Appsilon's Data for Good Initiative

Our team has gathered significant expertise in interactive data visualization, machine learning, and developing artificial intelligence solutions. We’ve decided to put these technologies to work in resolving the world’s most pressing challenges.

In our Data for Good initiative, we focus primarily on climate change and environmental protection projects, because we believe these issues will become the primary challenges to humanity in the decades to come.

Machine Learning and Data Science Support

We offer many of our services at significantly reduced rates or pro-bono when the goal of the project is aligned with our Data for Good mission.

In areas that need the most innovation to limit GHG emissions, we identified four from which we believe Machine Learning could speed up breakthrough processes.


Collaborate with Appsilon

We are committed to supporting scientists and organizations working on real business solutions limiting emissions. In the case of high-impact climate change projects, especially those aimed at reducing carbon emissions, we will provide our services pro-bono.

We are convinced that a combination of our technical skills with the domain knowledge of our partner organizations will result in innovative solutions for the planet.

If you are a public sector institution, an NGO, an academic institution, or a public benefit corporation working on social good projects, we would like to hear from you.

Media Recognition

Appsilon’s Data for Good efforts have been widely recognized in international media. Our Mbaza AI computer vision project, created in collaboration with the University of Stirling and Parcs Gabon to help preserve animal populations in Africa, was featured in Euronews, The Independent, and other notable outlets.

euro news polar bears on ice
Euro News Logo

From the polar bear capital of the world to tropical Gabon, AI is helping to fight biodiversity loss


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A family of chimpanzees photographed in the Congo basin. An AI algorithm enables analysis of up to 3,000 camera trap images an hour. Photograph: ANPN-Panthera
The Guardian logo black and white

Five ways AI is saving wildlife – from counting chimps to locating whales


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preview image independent
Independent Logo

Stop the Illegal Wildlife Trade: How artificial intelligence has become the latest conservation tool


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Caught On Camera: How Data Can Preserve Biodiversity


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Our Work

Case StudiesSee more

Mbaza Shiny App
ML Wildlife Image Classification
Leveraging Citizen Science Data
Preserving Wildlife With Computer Vision
Monitoring The Arctic Ocean
  • Open Source
  • Shiny
  • Wildlife Conservation

Mbaza Shiny App

The Mbaza Shiny App integrates with the Mbaza desktop app for camera trap image analyses and can be used to automatically calculate daily activity patterns of different animal species, create maps and calculate measures of relative abundance with no coding or statistical knowledge. Read more

Mbaza Shiny App case study feature
  • Open Source Solution
  • Realtime Image Classification

ML Wildlife Image Classification

Camera trap imaging (automatic photography of animal species in the wild) is becoming the gold standard in biodiversity conservation. It allows for accurately monitoring large swaths of land at an unprecedented scale. With ML and Computer Vision we tapped the potential of automated intelligence to improve reaction time for conservation efforts.

ppyolo zebra before
  • Citizen Science
  • Computer Vision
  • Ecosystem Monitoring

Leveraging Citizen Science Data

Partnering with dendrologists, we studied the life cycle stages of plants from Polish forests. Utilizing citizen science platforms allows for large-scale, high precision monitoring of the shifts in ecosystems’ synchrony as it is affected by climate. Read more

Flowering plant take by citizen scientist - making the most of citizen science imagery using computer vision
  • Computer Vision
  • Open Source
  • Wildlife Conservation

Preserving Wildlife With Computer Vision

Mbaza is used in the national parks of Gabon to help protect and monitor their pristine ecosystems. It is powered by image classification models, allowing the ecologists and park rangers to tap into insights from the data collected by camera traps. Using their existing equipment, they can process the data within a day. Without the tool, this typically took a month. Read more

Mbaza Golden Cat - Computer Vision Camera Trap
  • Computer Vision
  • Data4Good
  • Image Segmentation

Monitoring The Arctic Ocean

The vitality of plankton is a crucial window into the health of the Arctic ocean. We have developed methods of assessing the nutritive value of plankton using Image Segmentation, which opens the possibility of monitoring the Arctic oceans’ ecosystem on a large scale. This is particularly important in the era of accelerated shifts caused by the climate crisis. Read more

Copepods from the Arctic Ocean - monitoring health of ocean with machine learning


Data for Good ArticlesSee more

Blog hero hex banner with white text, "cleaning ml labels" and a photo of a leopard incorrectly labeled as a duiker
Blog hero hex banner with white text "artificial intelligence and alternative proteins" and graphic of AI brain
Happy Gorilla image by Kelly Sikkema, downloaded via unsplash kelly-sikkema-r077pfFsdaU-unsplash

Contact Us

Tell us about your project. We'll respond within 24 hours.

Andrzej Bialas Data for Good Lead profile photo
Andrzej Białaś
Data 4 Good Lead