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Good Machine

Good Machine is a venture studio focused on inventing, deploying, and scaling solutions to global challenges such as climate change and ecosystem collapse. It collaborates with various stakeholders to drive social impact and sustainability.

Recorded stages
Pre Seed, Seed
Focus sectors
Climate, Hardware
Recorded regions
Global, Africa, United States
Good Machine
SectionOverview
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Actions
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Official links

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Overview

Good Machine is a venture studio that focuses on creating impactful solutions to some of the world's most pressing problems. Founded in 2019 and based in San Francisco, it leverages a network of research facilities, NGOs, and venture capitalists to build and incubate companies that address issues like climate change and social impact. The studio operates with a unique model that combines building, advising, and funding ventures, ensuring that innovative ideas can be transformed into scalable solutions.

Focus

Good Machine invests in early-stage ventures with a strong emphasis on environmental sustainability and social impact. The organization provides a range of services, including company building, innovation advising, and funding for promising startups. Its focus areas include climate adaptation, biodiversity restoration, food systems, and improving livelihoods for smallholder farmers.

Support

Good Machine offers mentorship, access to a network of experts, funding opportunities, and resources for building and scaling innovative ventures. The studio's collaborative approach ensures that startups receive the support they need to succeed in addressing global challenges.

Questions

Q: What is Good Machine? A: Good Machine is a venture studio focused on creating solutions for global challenges.

Q: What sectors does Good Machine focus on? A: The studio focuses on climate, biodiversity, sustainability, and social impact.

Q: How can I apply to work with Good Machine? A: Interested parties can get in touch through the application form on their website.

Overlapping documented focus

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Stage and region classifications are shown as recorded. Broad labels such as “Global” and category-like stage labels may still need normalization.

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