Last week, we looked at ten leading enterprises that are using AI technology (with respect to data-sifting and information management). This week, let’s look at ten more movers and shakers in this exciting field. Here, we will focus on companies that are engaged in collaborative efforts to move the tech world forward.

DataRobot provides data scientists with a platform for building and deploying machine-learning models. The software helps business analysts build predictive analytics with no knowledge of machine-learning or programming and uses automated ML to build and deploy accurate predictive models quickly.

Based in Seattle, Algorithmia helps data scientists find and use algorithms. It was initially an exchange for algorithms on a one-off, single user basis. As it has grown, it has scaled up to the enterprise market.

Domino Data Lab is a SaaS solution that helps tech and data professionals program and test AI models. Based in San Francisco, the company touts itself as “The Most Powerful Platform for Data Science”. As a result, it serves as a gathering place for the AI community.

Meanwhile, OpenAI is a non-profit research firm that operates under an open source type of model to allow other institutions and researchers to freely collaborate, making its patents and research open to the public. The founders say they are motivated in part by concerns about existential risk from artificial general intelligence. OpenAI is a nonprofit research company with a mission to create safe artificial general intelligence (AGI). AGI aims to create machines with general purpose intelligence similar to human beings. With a focus on long-term research and transparency, OpenAI hopes to advance AGI safely and responsibly. The company is sponsored by some of tech’s biggest names, such as Amazon, Microsoft, Elon Musk, and Reid Hoffman.

AI applications take up gargantuan amounts of computing resources. Consequently, special chips (processors, and possibly new bus architecture) are required for AI. Xnor.ai is working to alleviate the strain that AI puts on infrastructure by building solutions that allow heavy duty algorithms to be powered by normal hardware. This is a key challenge in the move to democratize AI, to make it use-able by anyone. It also ties into the trend toward “edge computing”. It’s no wonder that Apple acquired the company in early 2020.

Based in Canada, Xanadu specializes in quantum hardware. It is developing a type of quantum computer based on photonic technology. Instead of transmitting energy via electrons, Xanadu’s system employs laser light to move data. That means no more energy-hungry or overheating electric machines. (This also augurs an explosion of investment in the field of quantum machine-learning.)

Acquired by Google in 2014, Deepmind focuses on AI research, covering everything from climate change to health care to finance. Its goal is to build “safe” AI that can solve highly complex problems.

Qualcomm is part of the AI revolution, making highly capable smartphone chips, which leverage a signal processor for image and sound capabilities. As mentioned, such chips (along with, possibly, new mother-board architecture) will be a key driver of AI functionality in the all-important consumer device market.

Vivint designed a platform called “Smart Home”, which has come to be a highly popular smart home service in North America, with features like security cameras, heating and cooling management, door and window security, as well as a remote audio-video link to talk to people at the door. Everything is monitored by AI, which learns the residents’ behavioral patterns and adjusts management accordingly.

Graphcore makes what it calls the IPU (Intelligence Processing Unit), a processor specifically for machine learning, used to build high performance machines. The IPU’s unique architecture allows developers to run current machine-learning models orders of magnitude faster and undertake entirely new types of work not possible with current technologies.

These ten trailblazers are breaking new ground by treating participants as a community. The cooperation embodied by these enterprises is a reminder that the tech world is a kind of community, in which cross-pollination is rampant.