Climate Grants and Investments

Investments in climate venture funds and early-stage start-ups, with a focus on Seed and Series A

Focus areas:

• Clean energy access and innovation
• Carbon solutions
• Regenerative agriculture
• Adaptation and resilience technologies
• Early-stage climate funds

Funding for nonprofits developing and delivering resilient, climate-smart solutions

Focus areas:

• Nature preservation and restoration
• Regenerative and resilient agriculture
• Climate finance
• Education and action

Corporate venture capital aimed to scale solutions that address both Cisco’s and our customers’ sustainability needs.

Focus areas:

• Clean energy
• Circular economy

Helping to make clean energy more efficient, affordable, and scalable to meet growing demands.

Providing real-time monitoring and consistent data updates to assess climate impact of carbon projects.

Combining satellite technology, AI, and operations to permanently reduce methane emissions from rice farming.

Investing in early-stage startups working to prevent biodiversity loss and protect nature.

Using technology to scale a solution to permanently remove carbon dioxide from the atmosphere.

Enhancing wildfire risk reduction strategies, benefiting communities, wildlands, and utilities through improved protection and healthier ecosystems.

Aiming to protect 86 million acres of rainforest by improving living conditions, halting deforestation, and restoring ecosystems.

Collaborating with farmers and agencies to promote climate-smart agriculture, helping to lower the cost of adopting resilient practices.

Empowering young social innovators with digital tools, knowledge, and networks to create positive climate action within their communities.

Creating solar technologies to provide Amazon communities with clean energy autonomy, strengthen cultural resilience, and contribute to the defense of rainforest ecosystems.

Providing local landscape leaders with the knowledge, tools, and funding they need to successfully regenerate their land.

Combining machine learning, natural language processing, and computational statistics with evidence-based inquiry to increase the collective impact of climate funders.