Carbon Relay is collaborating with IBM Cloud to take on on the complexity challenge of deploying, scaling and managing containerized applications in Kubernetes.

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When Carbon Relay’s core startup team was at Harvard a few years ago, we saw a clear opportunity to launch a company that would build products that take advantage of the latest and most practical elements of machine learning and applied mathematics. We created Carbon Relay to put difficult problems at the center of the room and fill the chairs with people who could uniquely contribute to solving those problems. 

Since then, we’ve laughed, cried and learned an immense amount as we continue to build something great that captures value for our customers and, more broadly, for society. Over the past couple of years, our commitment has only deepened. We have done this together. One of our core strengths as a team is being able to bring AI, ML and engineering teams together effectively and to learn every day from one another.

Our guiding philosophy is that artificial intelligence, when applied to the biggest problems, can not only help businesses operate more efficiently and save money, it can make a meaningful impact on energy use. Carbon Relay’s brand is strongly aligned with energy conservation and operational efficiencies driven by machine learning solutions. We aspire to help our customers reduce their carbon footprint—a troubling compound in overabundance created by the need for instant gratification in our society today.

The essence of who we are as a team and company arises from our focus on customer requirements and solutions. For the last two years we have focused on delivering large-scale solutions for a very small set of customers, perfecting the underlying algorithms, data and analytics—testing and rolling out solutions that produce great insights. All the while, we continue to learn ourselves and this is what drives us.

Machine learning will likely continue to redefine how business influences work, and we want to sit at the center of this revolution. There are many startups that sprinkle the moniker “AI” on their tech, like fairy dust, in order to stay abreast of the rest of the pack. We have never wanted to build a me-too company. 

We feel so strongly about the promise of AI to detect problems and opportunities in complex systems that we’ve rebranded our platform Red Sky—a nod to the mariners’ rhyme: “red sky at night, sailors’ delight; red sky in morning, sailors take warning.” The name also reminds us to look to the natural environment to guide critical decisions. 

We’re proud to have just launched our second product, Red Sky Ops, a new open source AIOps solution for deploying, scaling and managing applications in complicated Kubernetes environments. It follows our first product, the newly renamed Red Sky Energy, for dramatically improving the energy efficiency of data centers. Red Sky Energy has been in use in production at customer sites for over a year now. 

As we move ahead with an expanding team and platform, I could not be more proud of who we have become or more excited for what’s next. We have spent years learning who we are, and with the release of Red Sky Ops and Red Sky Energy, we take these learnings forward to empower and represent what we have built. 

The best is yet to come, so long as we continue to learn and grow together. 

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