AI and data analytics to improve lives in fragile and conflict-affected states.
Captivate Analytics is a data science and AI consultancy. We specialise in data analytics and AI services in complex environments. Our team brings a combination of expertise in data science, machine learning and conflict, security and development.
Too many organizations use outdated research and reporting methods that are no longer fit for purpose. Large teams manually compile long text-heavy reports that rarely get read or influence decisions.
How we can help
Our products and services enable clients to use more visual, efficient and data-driven research. We bridge the gap between data science, machine learning and international development, and enable decision-makers to find the signal in the noise.
Numerous organisations talk about the potential of innovative technologies to improve lives in fragile and conflict-affected states, but very few implement them in practice.
Decision-makers in government, the aid sector and private sector recognize the importance of data-driven decision making. However, it remains hard to make the right decisions:
We founded Captivate Analytics in 2021 to help address these challenges. By combining cutting-edge data science and contextual understanding – underpinned by data ethics – we produce research that enables better decisions and improves lives in fragile and conflict affected states.
According to the World Bank, 31% of their reports have never been downloaded once.
Source: World Bank
“More data means that we need to be even more aware of what the evidence is actually worth.”
David Spiegelhalter, The Art of Statistics: Learning from Data
Co-founder and Data Scientist
Felix is a PhD student in the computer science department at the University of Oxford, where his research focuses on the application of deep learning in healthcare. He is currently developing natural language processing and risk prediction models for the UK CSSF. He previously worked at AKTEK, where he led research and algorithmic development applying natural language processing and machine learning techniques for UK-funded programmes in fragile and conflict affected states. Felix has a Masters and BA in Natural Sciences from the University of Cambridge, and programmes in Python and R.
Data Engineer and Software Developer
Ali specialises in data engineering and software, with experience building full stack data analytics pipelines in Health Tech and Finance. He previously worked for five years as a Strategist within the Investment Banking Division at Goldman Sachs, before leaving to join a software startup. He is a strong advocate of open source development and is a member of the core team of Pandas, and has also contributed to Python programming textbooks. Ali has a BA in Natural Science focusing on Astrophysics from the University of Cambridge, and programmes in Python & Java.
Sam is a researcher in security and quantum information theory at the Max Planck Institute in Bochum, Germany. His research work includes information theoretic aspects of neural networks, cryptography associated connections with theoretical physics and quantum information. As a data scientist, Sam is working on risk prediction models for the UK CSSF, and programmes in Python and R. Sam has a PhD in theoretical physics from the University of Cambridge, a masters in theoretical physics from the University of Oxford and a BA in mathematics also from the University of Oxford.
Co-founder and Data Scientist
Elliot is an experienced researcher specialising in the application of data science methods in social science research in the developing world. A rural development specialist at Delta Health Alliance, Elliot recently supported the UK CSSF during the 2020 Comprehensive Spending Review and was lead data scientist on a CSSF data analytics project. He has extensive experience using statistics and machine learning using Big Data and survey research. Elliot has a PhD in Rural Sociology and Applied Statistics from the University of Missouri-Columbia, and programmes in R.
Ghaith is a Syrian data scientist with experience in international development, fintech and management consulting. He has built statistical models to better predict internal displacement in Syria for a UK-funded stabilisation programme, and is passionate about developing end-to-end machine learning solutions to solve real-world problems. Now based in London, Ghaith was a UK Chevening Scholar and has a Msc in Data Science and Data Analytics from Brunel University in London, and a BsC in Information Technology from SVU in Syria. Ghaith is fluent in English, Arabic and Turkish, and programmes in Python.