Related: Logistics Startup's Tech Investment Helped Prepare it for COVID-19
Startup Raises $4M to Improve Logistics Operations
Optimal Dynamics, a startup aiming to automate and optimize the logistics and supply chain industry through a new proprietary technology called High Dimensional Artificial Intelligence, recently raised $4 million in seed money.

Photo: Burak K via Pexels
Optimal Dynamics, a startup aiming to automate and optimize the logistics and supply chain industry through a new proprietary technology called High Dimensional Artificial Intelligence, recently raised $4 million in seed money.
Optimal Dynamics’ main product, CORE.ai, leverages High Dimensional Artificial Intelligence, the result of decades of research and development at Princeton University, according to Co-Founder and CEO Daniel Powell.
“CORE.ai allows companies to capture significantly more detail, plan into the future, and most importantly, plan for uncertainty,” said Powell. “Together, with our technology and our team of industry and technical experts, we are positioned to fundamentally shift how transportation and logistics companies plan and make decisions.”
CORE.ai’s High-Dimensional Artificial Intelligence uses approximate dynamic programming developed specifically for freight transportation, transitioning from real-time human decision-making to advance automated decision-making. According to the company, it allows logistics companies to automate everything from high-level strategic questions around how many drivers they need or what equipment they should buy, to daily dispatching and load acceptance issues.
It also allows companies to plan further into the future from its ability to learn and plan for uncertainty, unlike previous systems that have to assume a perfect future. This technology makes it possible to perform strategic, tactical and real-time planning, all with the same technology.
The investment will allow Optimal Dynamics to increase research and development, build partnerships, and create a complete marketing campaign.
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