Rich countries spent $174.3 billion in overseas development assistance in 2025, but according to Rural Senses, only 20% of aid practitioners had sufficient data to successfully deliver project goals. Here is information about how Rural Senses is promoting AI-driven humanitarian aid.

Impact Measurement

Rural Senses is working to address the aid data sufficiency gap. Its advanced language processing algorithms improve traditional methods of gathering and analyzing qualitative feedback from vulnerable communities. According to the company, its modern impact analysis platform for AI-driven humanitarian aid, Visual Senses, can cut the time it takes to gather and process community data from months to just days, allowing for faster, more insightful and more impactful development responses.

Impact measurement refers to the process of evaluating long-term changes caused by a specific activity. In the context of humanitarian development, it means assessing how an aid program has affected a targeted group of people.

Traditionally, this involves gathering quantifiable statistics and interviewing local populations. The process can be time-consuming and expensive, often requiring skilled experts. Rural Senses claims that its approach to AI-driven humanitarian aid offers a fast-track option that even non-experts can use while reducing costs and speeding up planning and analysis.

A Human-led AI Solution

The company was founded in 2019, emerging from a research project at the University of Cambridge. The aim was to devise a platform that would improve the flow of information between development practitioners and the vulnerable communities with which they work. Over the past few years, the team developed not only a new methodology but also an end-to-end automated process for social and environmental impact measurement and management.

The company describes it as a “human-led” AI platform and emphasizes that the human always remains in control. The AI assists with identifying stakeholders, analyzing and presenting data, gathering related research, translating and transcribing conversations, etc.

Overcoming Bias

The platform is designed specifically for organizations carrying out work in remote, developing communities. Historically, many of these organizations would bring over American researchers and place them in a village with an interpreter to ask questions of local residents. “But there is a lot of bias there,” cautions Chief Executive and Co-Founder Yau Levy, speaking in a company-sponsored webinar.

To overcome this bias, Rural Senses’ AI-driven humanitarian aid platform adopts the User Perceived Value (UPV) methodology. Similar to a traditional needs assessment, which looks at what a community needs, the UPV approach targets what a community values. This gives the local community a more direct voice in expressing their underlying values and should translate into more effective development projects.

A Typical Project

All projects start with human input, usually when a researcher enters into the software platform the basic mission of the project, the targeted stakeholders and activities. After this, AI can begin helping with foundational background research. The system can suggest a list of similar studies and highlight the ways in which they resemble or differ from the current project proposal.

It can also transform obscure local languages into actionable data. One real-world project in 2022 saw the Rural Senses’ AI-driven humanitarian aid platform deployed in a project in Siaya County, Kenya, where most residents speak Dholuo. The AI translated and transcribed questions and responses in Dholuo and English.

The aim of this particular project was to better understand the resilience of local communities to changing weather patterns and gather views on off-grid appliances. According to study details published by The National Center for Biotechnology Information, Rural Senses was commissioned to gather feedback from 300 people across 11 villages. The project used open-ended questions designed to reduce researcher assumptions.

For example, one such question was “In your own words how would you describe climate change?” Wording it in this manner put the power of choice into the hands of the respondents. AI then analyzed recorded interviews and extracted from the comments exactly what it was that people saw as climate change. It also analyzed whether the respondent spoke about this issue negatively or positively. Results were shown in real time as responses were processed. The expectation was that project findings would help Kenyan policymakers to make more informed energy and development programs.

Pivotally, the platform is flexible. As it receives more data, it will suggest changes to strategy or outcomes based on its learnings so far.

Building Trust

Whether it is water security or health care, accurately understanding the values and needs of local communities is pivotal to delivering effective humanitarian aid. Bringing in the power of AI could accelerate efforts on this front, provided it is done in a way that builds trust. While AI has been around for decades, applications remain in their infancy and many organizations remain resistant to adoption.

Levy is confident that keeping the human at the center of AI-driven humanitarian aid is the key. “A system that works with the practitioner and brings out the best of their knowledge will help build trust,” he asserts.

A Growing Reach

Rural Senses’ reach has been growing steadily. It joined the Pears Challenge 2019, a start-up incubator looking at technology solutions for water, sanitation, hygiene and education challenges that refugees and vulnerable populations face. It also participated in the 2020 Microsoft for Startups – Tech for Good “AI for Good” Accelerator program. The client list includes a wide range of players, including the U.K. Foreign Commonwealth & Development Office, IKEA Foundation, Amref Health Africa, The Halo Trust, and the Centre for Global Equality. As of September 2026, it has worked in 18 countries, spoken to more than 93,000 people and collected 1.48 million data points.

AI-driven humanitarian aid plays at the intersection of smart technology and vulnerable communities. It promises to dramatically reshape the way aid projects are formulated, conducted and assessed. In theory, optimized development programs increase the impact of any given amount of funding. In practice, more independent assessments of platforms like that from Rural Senses could indeed make that happen.

– Megan Sansom

Megan is based in Edinburgh, Scotland and focuses on Technology and Solutions for The Borgen Project.

Photo: Flickr