Osaro Grabs $3.3M in Seed Round

What does Osaro do?

Osaro, is a start up developing advanced machine learning. It is an artificial intelligence company which is developing products based on proprietary deep reinforcement learning technology. The company creates machine intelligence software which combines state of the art perception with great adaptive decision making abilities to help computer and robotic systems to act intelligently and efficiently. Like other advanced machine learning technologies, this company’s software automatically extracts info from the high dimensional, time varying data. The company goes over more than just classifying data. Their technology interacts with the environment for learning, discovering and achieving a specific goal. The company frees up humans by making machines more adaptive, efficient and intelligent, thus humans can focus their time on energy and capital on higher level tasks.

How much Osaro was funded?

Osaro raised $3.3M in seed funding on December 2, 2015 from Scott Banister, AME Cloud Ventures and Peter Thiel.

What is next for Osaro?

The company plans to use the seed funding for taking its technology to the market. The company’s goal is to make it so a low skilled technician can set up train one of the robots. For the time being the company is set to deploy it in niche application where there really is no other solution and the company is planning to build out from there.

More about Osaro

Osaro was founded in 2015 by Derik Pridmore. It has its headquarters in San Francisco, California. The company is developing products based on the company’s deep reinforcement learning technology. Their patent pending technology automatically processes huge amounts of unstructured data and learns complex control tasks well. The company blends deep learning with reinforcement learning, which is a technique that usually entails teaching machines through a trial and error way. The company’s machine intelligence software combines perception with the decision making capabilities which will help the robotic and computer systems teach themselves to act with more efficiency.