Running Tide Technologies, Inc.

Andrew Clyde Thompson

Margaux Martin-Filippi

Max Chalfin

Matthew Jordan Odlin

Finnian Cradock Donovan

Nathaniel Merrill

Justin Baker Ries

Kevin Neil Thomas

Luca Mastrangelo

William Johnson

Timothy J Dyson

Jacob F Hagler

Philipp Max Werminghausen

Josh Hill

Charles B W Halvorson

Systems and methods for cultivating or accumulating climate-focused marine target products are described herein. The target product may be microalgae, macroalgae, plankton, marine bacteria or archaea, filter feeders (such as oysters or clams), or crustaceans either for the purpose of bioremediation, eventual cultivation or for sequestering carbon dioxide; or the target product may be direct chemical or biological accumulation of carbon or carbon containing organisms. The system is primarily a floating apparatus designed to hold the target product in a region of the water column and in a spatial region of the water where it will best accumulate target product mass. In some embodiments the system is designed to achieve eventual passive sinking (transformation from a floating to sinking apparatus) into the deep ocean. In some embodiments, the system is equipped with purpose-chosen sensors to instrument and quantify the various biological and mechanical processes occurring onboard.

Systems and methods for the cultivation of target product

A method for calculating carbon credits includes obtaining sensor data associated with at least a portion of a deployment for cultivating a target product in a body of water, executing at least one model based at least in part on the sensor data to generate an output predicting at least one characteristic associated with the target product, the deployment, or a portion of the body of water, and inputting the output into a quantification model. The quantification model is executed to generate an output associated with a predicted capacity of the target product to sequester carbon dioxide. An accuracy of the predicted capacity resulting from the output of the quantification model is greater than an accuracy of a predicted or inferred capacity resulting from the output of each model individually. Carbon dioxide offset credits are determined based on the predicted capacity resulting from the output of the quantification model.

Systems and methods for quantifying and/or verifying ocean-based interventions for sequestering carbon dioxide

An apparatus includes a first member having a housing that encloses a power source and a controller, a second member coupled to the first member that is seeded with a target product, and a sensing module coupled to the first member to allow power from the power source to be transmitted to the sensing module and sensor data from the sensing module to be transmitted to the controller. The sensing module including a sensor oriented toward at least a portion of the second member. The sensor configured to obtain sensor data associated with at least one characteristic of the target product.

Systems and methods for monitoring ocean-based carbon dioxide removal devices and accumulation of a target product

A system for detecting foreign materials comprising an alternative light source (ALS), one or more filters operationally associated with the ALS, one or more camera lenses operationally associated with the ALS and the filters, one or more processors, a computer readable memory, and a computer readable storage medium operatively associated with a computing device operatively associated with the ALS, one or more sensors operationally associated with the computing device and the ALS, wherein the sensors detect the presence of the filter and a camera operationally associated with the lens and the computing device.

ALS camera system

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Biddeford, ME, United States of America

Andrew Clyde Thompson