MAKING BIOMASS, WATER AND ENERGY INTELLIGENCE ACTIONABLE™

Twin Challenges

Resource Productivity: We need to increase the resource productivity of the global economy by at least tenfold over the next 10-15 years to stay within a safe operating space for humanity and in the process, generate a USD 3 trillion innovation opportunity.

New Risk Normal: Worldwide economic costs from weather extremes have exceeded the 30-year average of USD 140 billion per annum in 7 of the last 10 years. It is estimated that economy wide losses associated from these risks will be USD 20 trillion.

About Us

SpaceTime Labs is a Brazilian company - part of SpaceTime Ventures portfolio - founded in 2014 that develops industrial scale automated machine learning, computer vision and advanced analytics platforms for operational planning, optimization & risk management and risk transfer of resource-intensive sectors and their value chains which are exposed to climate and water risk.

Operational Planning

Operational Optimization

Operational Risk Management & Risk Transfer

Platform Approach

Our end-to-end automated machine learning, computer vision and advanced analytic platforms learn from a myriad of structured and unstructured market, bio-physical, operational, satellite, drone, machine & IoT sensor, SCADA, ERP and financial market data sets in space and time.

Innovation Approach

Our iBOATS™ innovation approach to transform intelligence into action to improve performance and manage risks.

Partners

The RIPPLES™ platform partnership between SpaceTime Labs and VanderSat aims to combine their unique and complementary technology capabilities and skillsets to make water, biomass and energy operational risk management and risk transfer innovations actionable first in Brazil and Latin America, before replicating and scaling globally.

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AGTECH INNOVATION

Over the last four years our partnership with Raízen Energia has been focused on developing and operating industrial scale machine learning and computer vision platforms for operational planning, optimization and risk management of 800.000 hectares of sugarcane.

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