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Katapult Accelerator is a global accelerator that aims to fast-track solutions to global problems within both environmental and societal domains. 50 technology changemakers built an MVP that helps investors to identify the best startups to invest in to maximize job creation, generate more equal societies, and provide opportunities for people left behind.
The team used data collection, data analysis, and predictive modeling in this challenge.
This project is open-sourced, code is shared on Omdena GitHub.
There are two main problem angles that the challenge addressed:
Having a tool that is tailored to startups and that can predict their future successes on more than just financial variables would be invaluable to attract more investor capital to impact startups with great potential. And here came the project’s outcomes.
In this two-month challenge, Omdena collaborators built models that predict the economic impact of startup investment, based on past historic investments. The challenge looked at historic investments and analyzed what factors made a good investment and how big the impact was. It also looked at the other socio-economic factors that may affect an investment.
Either one of the above may be utilized towards success prediction, while using all, would help to boost the AI model’s confidence score.
The opportunities that arise from the MVP and future version of the product are manifold:
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