Dynamind Labs

Dynamind Labs was hired by a wildfire detection startup to improve the reliability of their existing AI model. The team, consisting of three developers, developed and tested a new AI model, provided a local setup for further iterations, and a step-by-step guide on how to execute and understand the results. The client found Dynamind Labs through a referral and was impressed by their ability to start work immediately and cost-effectively.

In another project, Dynamind Labs was contracted by a company seeking to map all basketball hoops in Portland, Oregon using AI. The client required an automated solution, and Dynamind Labs provided this by identifying the best way to collect data, interpreting this data, and synthesizing the results. The client was impressed by Dynamind Labs' understanding of the problem and the various solutions they proposed.

For the Ecdysis Foundation, a company promoting regenerative agricultural practices, Dynamind Labs was tasked with improving their existing software program used for managing entomological data. The team developed a machine learning algorithm to identify insects from photos and integrated this with the existing data management software. The client chose Dynamind Labs for their high ratings and culture fit, and was pleased with the improved performance metrics of the machine learning algorithm and the overall improvements to their workflow.