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Angaza Design

Angaza's Pay-As-You-Go technology enables solar product manufacturers and distributors to offer installment pricing to off-grid customers in emerging markets.

  • Stage Full Product Ready
  • Industry Fintech
  • Location San Francisco, CA, US
  • Currency USD
  • Founded June 2010
  • Employees 11
  • Website

Company Summary

Angaza eliminates the upfront price barrier of solar with innovative financing technology. Through our B2B technology licensing model, we provide a mobile-mediated Pay-As-You-Go platform that enables off-grid customers to pre-pay for solar energy in installments. We enable distributors to quadruple their sales volumes, and we leverage product usage and customer repayment data to lower distribution costs and present customer credit risk ratings.


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    Lesley Marincola
    CEO, Founder

    Lesley Marincola is the Founder and CEO of Angaza Design. A product designer and mechanical engineer from Stanford, Lesley has also worked at Amazon (Lab126) with the Amazon Kindle design team, and at Bay Area design consultancy, D2M Inc. Lesley is a recipient of the Santa Clara University Global Social Benefit Incubator scholarship, was named a 2012 Tech Awards Laureate and Forbes “30 Under 30” Entrepreneur, and is an Echoing Green Fellow.

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    Victoria Arch
    Director of Strategy

    Victoria Arch is a clean energy and sustainability specialist. She learned the intricacies of environmental science and policy while pursuing a B.S. in Earth Systems at Stanford. Following her undergraduate degree, she completed a Ph.D. in Biology at UCLA during which she authored 11 peer-reviewed publications, won a university award for Outstanding Graduate Research, and received competitive grants from National Geographic, among others.

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    Bryan Silverthorn

    Bryan's work in industry has ranged from embedded firmware to enterprise software to robotics hardware. To that background he adds academic rigor, with both a B.S. in computer science from Cornell University and a Ph.D. in computer science from the University of Texas at Austin. His publications have appeared at top global venues, including the International Conference on Machine Learning and the AAAI Conference on Artificial Intelligence.