Monica Acosta (center, in black) speaks with Pia Faustino of Thinking Machines (center, in grey) and Jeff Villaveces (right, in white), country head of iMMAP.
Data Science + AI
Thinking Machines: Mapping hard-to-reach areas and connecting communities to resources
investment Stage
Growth Stage
investment status
country of registration
founding year
Female Founded


Investment Period Activity

Thinking Machines have built a tool to help NGOs to more easily link their own internal datasets with external human development datasets. There is a lack of up-to-date geospatial socioeconomic data for both public policy makers to monitor human development indicators and private businesses to plan expansion and investment. OnTrackPH is a software framework that leverages Natural Language Processing (NLP) techniques to accurately match huge number of records across data silos. In 2016, Thinking Machines was able to link three different Philippine government databases and accurately match records in a fraction of the man-hours needed to do so manually. To realize this goal, they are working on two key products: 1) Link Sight: A web application that NGOs can use to easily standardize inconsistently-spelled names of administrative territories (villages, towns, and provinces) in their datasets, so that these can be linked with external datasets. 2) A collated database of village-level human development indicators from several key sources: government-conducted surveys, open-source maps, and AI-generated maps based on satellite imagery. This will enhance the more traditional sources of human development data that are often incomplete or not up to date.

Alignment with unicef strategic areas
Multiple Sectors or Core Infrastructure
Funding recieved by company

98.94 K usd

Early-Stage Funding
Investment Made:2018 Status:graduated

350.66 K usd

Growth-Stage Funding
Investment Made:2021 Status:active

Achievements to date

Early-stage Graduation Status

stories related to this solution

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