Kindred’s team of scientists are exploring new types of cognitive architectures that can make any machine smarter. We are focused on uncovering how brains learn through a physical body and applying those learnings to create and teach a new intelligent class of robots that will enhance the quality of our day-to-day lives, and in particular, the way we work.

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WIRED (DEC 2017) - At a San Francisco startup called Kindred, for example, engineers are teaching robots to do that final step of fulfillment. Using a technique called imitation learning, engineers steer the robot to show how best to grasp a wide range of objects you’d find at a marketplace like Amazon. “Some are soft and squishy, some are hard, some are heavy, some are soft,” says George Babu, co-founder of Kindred. “And there's no way you can program that.”


Futuristic Robots Are Lending Their Hands in Gap's Warehouse

FORTUNE (OCT 2017) - Kindred’s new customer and investment highlights the growing trend of companies like Amazon (AMZN, -0.38%) and Target (TGT, -0.65%) using robots to move warehouse inventory and track items on store shelves.  

KindredArm1-0088_preview.jpeg Named to MIT's 50 Smartest COMPANIES List

MIT TECHNOLOGY REVIEW - The robots use machine-learning algorithms to operate, but if one runs into problems—say, while grasping and placing items inside a warehouse—the human can temporarily take control, and the robot will improve its performance via reinforcement learning.



THE VERGE (JUN 2017) - Kindred is now focused on getting its robotic putwall, Sort, into warehouses, where it can begin learning at an accelerated pace by sorting vastly different products and observing human operators. 


25 women in robotics you need to know about – 2017

ROBOHUB (OCT 2017) - Suzanne Gildert is co-founder and CSO of Kindred AI. She is responsible for the development of cognitive architectures that allow Kindred's robots to learn about themselves and their environments. 


The Business of Artificial Intelligence

HARVARD BUSINESS REVIEW (JUL 2017) - Erik Brynjolfsson and Andrew McAfee report on the potential of AI, its practical implications, and the barriers to its adoption. The article notes a small but growing area within the field isreinforcement learning, highlighting robots created by Kindred that use machine learning to identify and sort objects they’ve never encountered before, speeding up the “pick and place” process in distribution centers for consumer goods. 


When YOUR ROBOT learnS from humans, who should train it?

CBC NEWS (OCT 2017) - Let's say you want to teach a robot to play basketball. How do you decide who should train it? Should you have it learn from an all-star, so that the robot mimics that player's particular style? Or should it learn from a blend of data from multiple players with varying play styles across myriad teams? That question is top of mind for Suzanne Gildert. 


How a Human-Machine Mind Meld Could Make Robots Smarter

MIT TECHNOLOGY REVIEW (MAR 2017) - Kindred AI is teaching robots new tasks using human virtual-reality “pilots.” The ultimate goal is to create a new kind of artificial intelligence. 


Secretive Canadian Company Teaches Robots to Be More Like People

BLOOMBERG (OCT 2016) - Take the role of sorting boxes in a warehouse run by Amazon or Wal-Mart. A single human operator could be plugged into multiple robots, stepping in when they run into a problem but otherwise letting them pick up and re-arrange the boxes on their own.