Get used to hearing about machine learning operations (MLOps) startups – TechCrunch



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Yes, I’m having a little trouble this Friday afternoon. If you are not in the United States, it is a little difficult to explain. In short, certain deficiencies in our police and justice systems erupted with a bang at the end of the week. As a result, today’s Exchange newsletter will be shorter than expected. Kiss the people you love and everyone else. – Alexis

The DevOps market is busy and well funded. For example, I caught up with Opslyft the other day. Straddling India and the United States, the company is building a unified DevOps service that brings together tools for post-deployment of software creation. It’s a neat company and one that I’ll probably spend more time writing about when it announces a capital increase. GitLab, a pre-deployment DevOps service, recently went public, to choose another example of memory.

All of this to say that tech companies big and small are developing DevOps tools. And we’re seeing the Machine Learning Operations (MLOps) market start to emulate its big brother pretty quickly. TechCrunch noted that MLOps startup Comet raised this week, which reminded The Exchange that we recently took a look at the recent Weights & Biases round, another momentous event for an MLOps startup.

I bring it all up because we caught up Jai Das from Sapphire Ventures the other day to gather more context for our article on AI fundraising trends. During the chat I brought up the idea of ​​AIOps and whether it would become a third “Ops” category to watch out for. Per Das, however, “MLOps is essentially AIOps,” he said, so we can mainly limit our thinking to the two main categories.

That said, AI and ML aren’t exactly the same – let’s not fight here, I’m talking vaguely – so it will be interesting to see if the two different types of work can be found in the same software basket.

Learn more about AI

Staying on the AI ​​theme, we have a little more on the AI ​​market for you this morning. Anne has some notes to start with, building on our recent entry on AI investment trends around the world. She has thoughts on where AI funds are disbursed today and how changing the definitions of what deserves the nickname “AI” could lead to a larger dollar footprint for the company. start-up activity:

While the geographic disparity has caught our attention, we expect the dollars to be distributed more evenly as the definition and applications of AI expand. For example, the two newly created Latin American AI unicorns in Q3 were NotCo, a food technology company, and Unico, a digital ID provider, while a major turn also went to the company from Mexican loan Kueski, which we would have called a fintech but is also AI compatible. If this is the new reality of AI, we wouldn’t be surprised to see more money pouring into startups using it to solve real-world problems all over the world, including Latin America, but also in Africa.

To finish our AI work until next week – if you live in Canada we have something coming up that you will want to read – here is a response from Sri Chandrasekar of Point72 Ventures which arrived a bit late for our last article on AI, but still wanted to share.

In response to our question on the economics of AI-driven startups, here’s what the investor had to say:

In my opinion, most of the recent interest in AI has been driven by revenue growth from companies that are throwing big rounds. But the reason for this income growth is quite simple: high demand for products and low labor participation. We see this across Point72 Ventures’ advanced technology portfolio. AI has the ability to augment humans and make them more productive, and in some cases replace them in tasks perfectly suited to automation, freeing them up to focus on higher value-added strategic activities. . Historically, the friction to introduce this automation has been high, but when you can’t hire someone to handle a customer service request or to run an office, automation suddenly becomes much more interesting.

We’re learning a lot lately about how macro conditions can impact startups. From the rise in inflation at the margins of insurtechs, to the great resignation which is stimulating the demand for AI software. Something to keep in mind.

Other things that matter

  • In light of the recent Utah-based Podium mega-tour, we are report a recent PitchBook entry dig into the state’s biggest startup scene. As you might expect, the numbers are rising up.
  • And speaking of mega-towers, Do lifted a G streak this week. So what? Well, he had some interesting growth statistics to share. Doing, in its own words, is an “online wholesale market,” a business that is growing quite rapidly. The company reported “3x” revenue growth and over “$ 1 billion in annual volume” which caught our attention. The company would be a candidate for IPO if the private market weren’t busy trying to turn it into venture capital foie gras.
  • What else? Starting OKRs Koan ended up selling to Gtmhub after failing to lift an A-series. In a less busy week, we would have delved into the matter. But since we’ve written so much about the OKR software market over the years, I wanted to report the event. (Koan’s CEO was kind enough to share a few notes on his business ending, both publicly and via email, we may have more next week on the topic, depending on the weather.)
  • And, finally, Braze. New York-based software unicorn Braze went public this week, and The Exchange caught up with the company’s leadership on the day it went public. As with all IPO calls, the company in question was subject to fairly strict guidelines about what it could say (not much) and what it couldn’t (almost everything). Still, we got a few notes on its preparation process, namely that the company has started to get ready for its IPO a few years ago, but started the real IPO process about a year ago. We wanted to know why the company – which had not had to raise funds since 2018 – had not sought a direct listing. Braze CEO Bill Magnuson told us something interesting, and that is that the traditional IPO is not as rigid as some think, in light of recent changes. It’s worth thinking about as we see the final public debut in 2021 over the next few weeks. Braze, it should be noted, is now worth $ 94.16 per share after its IPO at $ 65 per share.



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