At 3iS, we are at the forefront of leveraging Artificial Intelligence (AI) as a foundational tool
in our core services to transform humanitarian response and environmental management. Our commitment to innovation
and social impact has earned significant recognition from leading technology partners. We are proud to announce our
participation in key initiatives designed to amplify our reach and capabilities:
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Google.org Accelerator: Generative AI Cohort (2025–2027): In 2025, we were selected to participate in the
Google Generative AI Impact Challenge, a program that will support our work through 2027. This pivotal collaboration with
Google reinforces our dedication to developing groundbreaking AI solutions that drive meaningful change on a global scale.
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Amazon Web Services (AWS) Health Equity Initiative (2024–2025): We were honored to receive support from the
AWS Health Equity Initiative from 2024 to 2025. This partnership empowered us to further leverage cloud technology for
solutions that address critical health disparities and enhance community well-being in vulnerable regions.
Our expertise in AI spans a wide range of capabilities:
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Development of Retrieval-Augmented Generation (RAG) Systems: We integrate sophisticated RAG systems that
allow users to ask complex questions in natural language. Compass, our latest system, retrieves relevant evidence—including
text, images, and graphs—from our comprehensive knowledge base to provide accurate, well-sourced, and context-aware
answers, enhancing AI-generated insights.
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Natural Language Processing (NLP) and Multimodal Data Processing: Our robust NLP extraction pipelines are adept
at analyzing unstructured and structured data from various sources, identifying key entities, relationships, and extracting
information from diverse content formats, including text, tables, images, voice messages, and video.
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Deployment of AI-Based Assistants and Agents: We have successfully developed and deployed AI-powered chatbots,
assistants, and agents designed to automate capacity building, risk awareness, data collection, and facilitate decision-making.
These systems are equipped with function-calling capabilities, enabling them to connect with external data sources and
generate standardized and tailored humanitarian insights.
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Geospatial Intelligence and Computer Vision: We have developed and deployed advanced Machine Learning (ML)
algorithms for remote sensing and computer vision. These solutions help us identify and extract critical environmental
and risk indicators, including changes in land use, landslides, new settlements, environmental degradation, and other
geospatial data. This analysis is crucial for anticipating scenarios and delivering rapid humanitarian response.
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Forecasting and Predictive Analytics: Our systems leverage ML models to complement analyses, fill data gaps,
and perform accurate forecasting and risk assessments, enabling proactive humanitarian action.
