Introducing The Social Good AI Hub. 2 November 2026 Built by IDinsight with support from Google.org to track the landscape of how AI is being deployed across the social sector. November 2, 2026 - IDinsight is excited to announce the launch of The Social Good AI Hub, a free, living repository of largely non-profit-led use cases from across the social sector. With over 565 use cases from 167 countries, spanning domains such as health, education, agriculture, climate, and justice, ID Insight, Inc. hope it will serve as a resource for funders and implementers looking to understand how AI is being deployed to tackle social challenges worldwide. It's clear that there's tremendous activity in this space, but information about what AI tools are being built, the specific problems AI is being deployed to solve, and how organizations are evaluating success, is scattered. Without a comprehensive view of the AI-for-good landscape, the risk of duplication is high: funders risk concentrating resources in the same handful of tools and sectors with limited or no cross-learning, and nonprofits risk rebuilding from scratch, rather than leveraging shared resources and collaborating with others who have built similar solutions on how they solved the same data system, architecture, or evaluation challenges. ID Insight, Inc. built the Hub to give the sector a shared, current picture of what's out there. It shows where activity is coalescing, which sectors and geographies remain underserved, and what evidence exists that these tools are improving outcomes for the communities they ultimately serve. The Hub stays current in three ways: regular scans for new use cases, a standing open call for submissions, and updates from the featured organizations. "Over the past two years, we've heard the same questions from partner after partner: How can AI help us grow our impact responsibly? What are others building? What actually works? Until now, there was no single place to find those answers. We built the Hub to change that. We hope it helps builders start where others left off, learning from what didn't work as much as what did. And we hope it helps funders see what already exists, what the evidence shows, and where the gaps are before deciding what to invest in." - Becca Gong Sharp, CEO, IDinsight How ID Insight, Inc. built the Hub. Its goal was to surface a large number of use cases and describe each with the same set of fields: what problem the AI tool is solving and for whom, what tech was used, and, where available, evidence from model, product, user, and impact evaluations. Web crawling: ID Insight, Inc. started from curated lists of organizations building AI solutions in the social sector, drawn from funder networks as well as publicly available reports. With the help of a custom-built LLM-assisted web crawler, ID Insight, Inc. pulled structured information about each use case from organizations' websites. Outreach: ID Insight, Inc. then reached out to organizations to give them a chance to verify and edit their use case data and obtain details that were not available online, such as evaluation results and development timelines Inclusion criteria: ID Insight, Inc. considered several factors when deciding what AI use cases to feature. * Purpose: ID Insight, Inc. assessed whether the tool's primary purpose is to address a social, environmental or humanitarian challenge. Commercial and research projects qualify when that purpose is central rather than incidental. * Who the tool reaches: Currently, the Hub focuses on AI tools that reach people and communities, either directly or through the frontline workers and organizations that serve them, as well as open models, research tools and other resources that developers, researchers and governments can build on. * Stage of development: ID Insight, Inc. include tools at every stage, from early ideation through to those that were tried and later discontinued, since these can offer useful lessons for the field. * Evidence: Evidence of impact is not a requirement for inclusion. The field is still nascent, and many promising use cases have not yet been rigorously evaluated. Where evidence does exist, ID Insight, Inc. capture it at every level, from model performance to real-world impact - this also allows the Hub to show where the evidence base for AI tools overall (or within a sector) is strong and where it remains thin. Listing a use case reflects its fit with the Hub's scope; it is not an assessment of its quality or impact. Key features. Explore the Hub however suits you - browse and filter like any directory, ask questions in plain language, compare use cases side by side, or chart the field in the Insights dashboard, and if you're building, add your own work and keep it current. Browse and filter. Scan use cases by sector, geography, type of AI, open-source status and a range of other filters - the way you would any other directory. AI-powered search. Ask a question in plain language, such as "Which sector has the most use cases?" or "Which tools support community health workers in East Africa?", and get an answer drawn from the Hub's entries. Compare. Put use cases side by side to see how different teams have tackled the same problem. Insights dashboard. Start with ready-made charts showing where AI activity is concentrating and where gaps remain, or build your own view of the part of the field you care about. Add and update your work. List your organization's use case and edit it as your work evolves, so the Hub reflects where things actually stand. Flag whether you are looking for funding, implementation partners, technical support or evaluation so that the right people can find you. The Social Good AI Hub. Built by IDinsight with support from Google.org

IDinsight welcomes back Tony Senanayake as Chief Strategy and Scale Officer. 22 October 2026 Fortify Health CEO to return to IDinsight amid accelerating investment in data, evidence, and AI for development 22 October, 2024, New Delhi, India - IDinsight announces the appointment of Tony Senanayake as Chief Strategy and Scale Officer. Tony returns to IDinsight after four years leading the scale-up of one of the most cost-effective interventions in global health, and will help shape and deliver the next phase of IDinsight's strategy. The appointment comes at a pivotal moment for the development sector. Philanthropic support for the use of data, evidence, and AI is accelerating, and funders are actively exploring how to direct significantly more resources toward high-impact, cost-effective opportunities. IDinsight sits at the center of many of these conversations, with deep relationships with implementing organizations that understand the communities they serve and work closely with government partners around the world. "As an IDinsight alum who has gone on to become an accomplished executive in our field, I cannot think of anyone better than Tony to take IDinsight's strategy around cost-effectiveness, scale, and AI-for-good innovation to the next level. For the last four years, he has done what we help our partners do: scale an evidence-backed intervention cost-effectively, and stay honest about what is and isn't working along the way. As funders and implementers direct more resources toward high-impact opportunities, his deep experience and thought-provoking voice will help IDinsight and our partners make the most of it." - Becca Gong Sharp, CEO, IDinsight As Chief Strategy and Scale Officer, Tony will work closely with IDinsight's team, board, and stakeholders to build a compelling vision for the organization's future, and to systematically operationalize that vision with IDinsight's collaborators. That includes supporting implementing partners as they weigh their options for scaling, engaging with funders on where additional resources can do the most good, and building learning agendas that keep decisions about what works at scale transparent and honest. Since 2022, Tony has served as Chief Strategy Officer and CEO of Fortify Health, a GiveWell-funded nonprofit that partners with wheat flour mills in India to fortify flour with iron, folic acid, and vitamin B12 to reduce anemia. During that period, Fortify Health: * Grew its reach from about 400,000 people a month to more than 20 million, and from 3 states in India to 16. * Cut cost per person reached from $0.86 to about $0.18 a year. Over the July 2022 to June 2025 grant period, GiveWell's estimate of its cost-effectiveness rose from roughly 5 to 16 times that of cash transfers. * Grew the team from about 25 to almost 100 people across more than 40 locations in India. * Built and deployed an AI-enabled quality assurance tool that cut iron testing turnaround for mills from more than 10 days to 15 seconds, alongside a WhatsApp-based AI troubleshooting tool for millers. "We stand on the cusp of one of the most exciting moments in the development sector, as philanthropic support for the use of data, evidence, and AI is accelerating. There is a clear desire to think about how we can cost-effectively improve the lives of millions, if not billions, of people at scale," said Tony Senanayake. "IDinsight sits at the center of many of these conversations, with deep relationships with some of the most successful implementing organizations. IDinsight can now proactively support them as they think through the opportunities before them, and support the funders who are thinking about how to move significantly more funds toward high-impact, cost-effective opportunities." Tony previously worked at IDinsight as a Senior Manager from 2019 to 2022 in New Delhi. He is a Mulago Foundation Rainer Arnhold Fellow, a Jacobs Foundation Social Entrepreneurship Fellow, and a member of the 2026 cohort of the 100x Impact Accelerator at the London School of Economics. Earlier in his career, he was a researcher with the International Growth Centre and a Manager at Deloitte. He holds an MPH from University College London, an MBA from the Yale School of Management, and a Master of Laws from the University of Sydney. About IDinsight. IDinsight is a global data and evidence advisory that works with governments, philanthropies, and non-profits to improve lives at scale. ID Insight, Inc. evaluate what works, build and deploy AI-for-good tools, and improve interventions so resources can do the most good. IDinsight both builds AI products in-house and rigorously evaluates them end-to-end, from model reliability testing through to population-scale impact measurement. ID Insight, Inc. do this work from six offices across Africa and Asia, closest to the communities and partners ID Insight, Inc. serve.