Alumni Profile

Litterati: better solutions for litter & waste problems

A community that's "crowdsource-cleaning"​ the planet, one piece at a time

Litterati is a data science company empowering people to “crowdsource-clean”​ the planet. What started with one person picking up a single cigarette, has transformed into a global movement in 100+ countries. Our technology is used to develop behavioral insight, map problem areas, and mitigate future risk. From schools to scientists, environmental, organizations, brands and city governments, people are coming together for the greater good to create a litter-free world.

UN Sustainable Development Goals
Larta Programs
Larta Products
Founders

Jeff Kirschner

Founder & CEO
Litterati

Dick Ayres

Co-Founder & CSO
Litterati
Connect

Frankly, the work with the NSF (National Science Foundation) and specifically Larta has been invaluable. I couldn't be happier with the relationship to date. With the help of the National Science Foundation program, there was the potential opportunity to create the societal impact on a scale that we had never conceived.

Jeff Kirschner

Founder & CEO Litterati

Alumni News

November 18, 2020

The End Plastic Waste Innovation Platform Expands To Shanghai, São Paolo, and Johannesburg

Global non-profit organisation, Alliance to End Plastic Waste (Alliance), and early-stage startup accelerator, Plug and Play, announced today an expansion of their End Plastic Waste Innovation Platform partnership – with three new hubs across Shanghai, São Paulo, and Johannesburg.

April 2, 2019

National Science Foundation Awards Litterati Grant to Advance its AI for a Cleaner Planet

The National Science Foundation has awarded Litterati a second grant in the amount of $750,000 to advance its machine learning and further its mission to create a litter-free world by using data to plot and identify litter across the planet.

August 15, 2017

Litterati: Can a digital landfill rid the world of litter?

A resounding yes comes from the community of Litterati, an app that asks users to identify, photograph and geotag individual pieces of trash before disposing of them.

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