Personal blog of Yzmir Ramirez

Simpplr, a modern platform for building intranet sites (or ’employee communications and enablement platforms,’ as the company calls it), today announced that it has raised a $32 million Series C round led by Tola Capital. Norwest Ventures, which led the company’s Series B round last year, as well as Salesforce Ventures and George Still Ventures also participated. This brings Simpplr’s total funding to just over $61 million.

As Simpplr CEO and founder Dhiraj Sharma told me, the Series B round was meant to help the team accelerate product innovation and development. Unsurprisingly, the COVID-19 pandemic only increased demand for digital workplace solutions like Simpplr. As Sharma noted, the company’s thesis was always that the world was moving toward remote/hybrid work. The pandemic only accelerated this process and with that, the sense of urgency in its customer base to modernize their own platforms for communicating with their employees. To keep up with this growth, the company doubled its team since last August (though Sharma, just like many other startup founders I’ve recently talked to, also bemoaned that it’s becoming increasingly hard to find talent).

The company says that it added 100 enterprise customers over the course of the last year. Today, its customer base includes a number of early adopters like Splunk or Nutanix, which were always building toward a global workforce and always had a need for a product like Simpplr. But due to the pandemic, more traditional businesses like Fox, AAA insurance or Renewal by Andersen also needed to quickly find ways to support their newly remote workforces.

“When this pandemic happened, there were lots of traditional companies who didn’t think that they would be doing remote work as much in the near future as they had to,” Sharma said. “For them, things changed and then what they realized is that they did not have effective means of formal employee communication and also lacked the digital employee experience — and they realized that very quickly.”

Simpplr is obviously not the only intranet solution on the market, but Sharma argues that the service isn’t just recognized by analyst firms like Gartner and Forrester, but also highly reviewed by its customers, in large parts thanks to its focus on user experience. “UX is our number one strength and differentiator. We have been pushing the boundaries of intranet for last five years,” he said and cited features like the company’s auto-governance engine, which he likened to a “Roomba for your intranet.”

Image Credits: Simpplr

Analytics, too, is another area where Simpplr is trying to differentiate itself. “Our company’s mission is to help companies build a better workplace — and unless we can show the areas of improvement and provide insights like how to do something better, we just become a dumb tool,” he said. “For us, what is very important is not only that you are communicating but helping our customers to understand what’s working and what’s not working. What’s the impact of the communication and how are your employees feeling about it?”

Looking ahead, the company is working on building more AI into its tools – including its analytics — to help companies better communicate with their employees and understand the impact of those messages.

As for the new funding round, Sharma noted that he bootstrapped his previous two companies, which has made him take a somewhat conservative approach to fundraising. “When I used to hear that your investors or VCs expect growth at all costs, I just could never understand that,” he said. “So while building this company, even though this is a venture-funded company, I still wanted to make sure that I use the finances responsibly and I build a business in a sustainable manner. I wanted to make sure that if we raised a large investment, we have a proper use for that investment and that this investment will bring the right results.”

Tola Capital principal Eddie Kang will now join Simpplr’s board. “The future of work is hybrid and Simpplr is essential to a company’s ability to engage with employees,” he said. “As enterprise software investors, what excites us about Simpplr’s platform is that it allows leadership teams to streamline communications across channels and provides a turnkey platform that drives value to customers very quickly. Our partnership with Simpplr will accelerate its roadmap to meet the needs of global business leaders and communications teams.”

At Google I/O today Google Cloud announced Vertex AI, a new managed machine learning platform that is meant to make it easier for developers to deploy and maintain their AI models. It’s a bit of an odd announcement at I/O, which tends to focus on mobile and web developers and doesn’t traditionally feature a lot of Google Cloud news, but the fact that Google decided to announce Vertex today goes to show how important it thinks this new service is for a wide range of developers.

The launch of Vertex is the result of quite a bit of introspection by the Google Cloud team. “Machine learning in the enterprise is in crisis, in my view,” Craig Wiley, the director of product management for Google Cloud’s AI Platform, told me. “As someone who has worked in that space for a number of years, if you look at the Harvard Business Review or analyst reviews, or what have you — every single one of them comes out saying that the vast majority of companies are either investing or are interested in investing in machine learning and are not getting value from it. That has to change. It has to change.”

Image Credits: Google

Wiley, who was also the general manager of AWS’s SageMaker AI service from 2016 to 2018 before coming to Google in 2019, noted that Google and others who were able to make machine learning work for themselves saw how it can have a transformational impact, but he also noted that the way the big clouds started offering these services was by launching dozens of services, “many of which were dead ends,” according to him (including some of Google’s own). “Ultimately, our goal with Vertex is to reduce the time to ROI for these enterprises, to make sure that they can not just build a model but get real value from the models they’re building.”

Vertex then is meant to be a very flexible platform that allows developers and data scientist across skill levels to quickly train models. Google says it takes about 80% fewer lines of code to train a model versus some of its competitors, for example, and then help them manage the entire lifecycle of these models.

Image Credits: Google

The service is also integrated with Vizier, Google’s AI optimizer that can automatically tune hyperparameters in machine learning models. This greatly reduces the time it takes to tune a model and allows engineers to run more experiments and do so faster.

Vertex also offers a “Feature Store” that helps its users serve, share and reuse the machine learning features and Vertex Experiments to help them accelerate the deployment of their models into producing with faster model selection.

Deployment is backed by a continuous monitoring service and Vertex Pipelines, a rebrand of Google Cloud’s AI Platform Pipelines that helps teams manage the workflows involved in preparing and analyzing data for the models, train them, evaluate them and deploy them to production.

To give a wide variety of developers the right entry points, the service provides three interfaces: a drag-and-drop tool, notebooks for advanced users and — and this may be a bit of a surprise — BigQuery ML, Google’s tool for using standard SQL queries to create and execute machine learning models in its BigQuery data warehouse.

“We had two guiding lights while building Vertex AI: get data scientists and engineers out of the orchestration weeds, and create an industry-wide shift that would make everyone get serious about moving AI out of pilot purgatory and into full-scale production,” said Andrew Moore, vice president and general manager of Cloud AI and Industry Solutions at Google Cloud. “We are very proud of what we came up with in this platform, as it enables serious deployments for a new generation of AI that will empower data scientists and engineers to do fulfilling and creative work.”

When Alibaba entered the cloud infrastructure market in earnest in 2015 it had ambitious goals, and it has been growing steadily. Today, the Chinese e-commerce giant announced quarterly cloud revenue of $2.194 billion. With that number, it has passed IBM’s $1.65 billion revenue result (according to Synergy Research market share numbers), a significant milestone.

But while $2 billion is a large figure, it’s one worth keeping in perspective. For example, Amazon announced $11.6 billion in cloud infrastructure revenue for its most recent quarter, while Microsoft’s Azure came in second place with $5.9 billion.

Google Cloud has held onto third place, as it has for as long as we’ve been covering the cloud infrastructure market. In its most recent numbers, Synergy pegged Google at 9% market share, or approximately $2.9 billion in revenue.

While Alibaba is still a fair bit behind Google, today’s numbers puts the company firmly in fourth place now, well ahead of IBM . It’s doubtful it could catch Google anytime soon, especially as the company has become more focused under CEO Thomas Kurian, but it is still fairly remarkable that it managed to pass IBM, a stalwart of enterprise computing for decades, as a relative newcomer to the space.

The 60% growth represented a slight increase from the previous quarter’s 59%, but basically means it held steady, something that’s not easy to do as a company reaches a certain revenue plateau. In its earnings call today, Daniel Zhang, chairman and CEO at Alibaba Group, said that in China, which remains the company’s primary market, digital transformation driven by the pandemic was a primary factor in keeping growth steady.

“Cloud is a fast-growing business. If you look at our revenue breakdown, obviously, cloud is enjoying a very, very fast growth. And what we see is that all the industries are in the process of digital transformation. And moving to the cloud is a very important step for the industries,” Zhang said in the call.

He believes eventually that most business will be done in the cloud, and the growth could continue for the medium term, as there are still many companies that haven’t made the switch yet, but will do so over time.

John Dinsdale, an analyst at Synergy Research, says that while China remains its primary market, the company does have a presence outside the country too, and can afford to play the long game in terms of the current geopolitical situation with trade tensions between the U.S. and China.

“Alibaba has already made some strides outside of China and Hong Kong. While the scale is rather small compared with its Chinese operations, Alibaba has established a data center and cloud presence in a range of countries, including six more APAC countries, U.S., U.K. and UAE. Among these, it is the market leader in both Indonesia and Malaysia,” Dinsdale told TechCrunch.

In its most recent data released a couple of weeks ago, prior to today’s numbers, Synergy broke down the market this way: “Amazon 33%, Microsoft 18%, Google 9%, Alibaba 5%, IBM 5%, Salesforce 3%, Tencent 2%, Oracle 2%, NTT 1%, SAP 1% – to the nearest percentage point.”

Big companies today may want to look and feel like startups, but when it comes to the way they approach buying new enterprise solutions, especially from new entrants, they still often act like traditional enterprise behemoths. But from the standpoint of a true startup, closing deals with just a few big customers is critical to success. At our much-anticipated inaugural TechCrunch Sessions: Enterprise event in San Francisco on September 5, Okta’s Monty Gray, SAP’s DJ Paoni, VMware’s Sanjay Poonen and Sapphire Venture’s Shruti Tournatory will discuss ways for startups to adapt their strategies to gain more enterprise customers (p.s. early-bird tickets end in 48 hours — book yours here).

This session is sponsored by SAP, the lead sponsor for the event.

Monty Gray is Okta’s senior vice president and head of Corporate Development. In this role, he is responsible for driving the company’s growth initiatives, including mergers and acquisitions. That role gives him a unique vantage point of the enterprise startup ecosystem, all from the perspective of an organization that went through the process of learning how to sell to enterprises itself. Prior to joining Okta, Gray served as the senior vice president of Corporate Development at SAP.

Sanjay Poonen joined VMware in August 2013, and is responsible for worldwide sales, services, alliances, marketing and communications. Prior to SAP, Poonen held executive roles at Symantec, VERITAS and Informatica, and he began his career as a software engineer at Microsoft, followed by Apple.

SAP’s DJ Paoni has been working in the enterprise technology industry for over two decades. As president of SAP North America, Paoni is responsible for the strategy, day-to-day operations and overall customer success in the United States and Canada.

These three industry executives will be joined onstage by Sapphire Venture’s Shruti Tournatory, who will provide the venture capitalist’s perspective. She joined Sapphire Ventures in 2014 and leads the firm’s CXO platform, a network of Fortune CIOs, CTOs and digital executives. She got her start in the industry as an analyst for IDC, before joining SAP and leading product for its business travel solution.

Grab your early-bird tickets today before we sell out. Early-bird sales end after this Friday, so book yours now and save $100 on tickets before prices increase. If you’re an early-stage enterprise startup you can grab a startup demo table for just $2K here. Each table comes with four tickets and a great location for you to showcase your company to investors and new customers.

Google and its flagship search portal opened the door to the possibilities of how to build a business empire on the back of organising and navigating the world’s information, as found on the internet. Now, a startup that’s built a search engine tailored to the needs of enterprises and their own quests for information has raised a round of funding to see if it can do the same for the B2B world.

AlphaSense, which provides a way for companies to quickly amass market intelligence around specific trends, industries and more to help them make business decisions, has closed a $50 million round of funding, a Series B that it’s planning to use to continue enhancing its product and expanding to more verticals.

The company counts some 1,000 clients on its books, with a heavy emphasis on investment banks and related financial services companies. That’s in part because of how the company got its start: Finnish co-founder and CEO Jaakko (Jack) Kokko had been an analyst at Morgan Stanley in a past life and understood the labor and time pain points of doing market research, and decided to build a platform to help shorten a good part of the information-gathering process.

“My experience as an analyst on Wall Street showed me just how fragmented information really was,” he said in an interview, citing as one example how complex sites like those of the FDA are not easy to navigate to look for new information and updates — the kind of thing that a computer would be much more adept at monitoring and flagging. “Even with the best tools and services, it still was really hard to manually get the work done, in part because of market volatility and the many factors that cause it. We can now do that with orders of magnitude more efficiency. Firms can now gather information in minutes that would have taken an hour. AlphaSense does the work of the best single analyst, or even a team of them.”

(Indeed, the “alpha” of AlphaSense appears to be a reference to finance: it’s a term that refers to the ability of a trader or portfolio manager to beat the typical market return.)

The lead investor in this round is very notable and says something about the company’s ambitions. It’s Innovation Endeavors, the VC firm backed by Eric Schmidt, who had been the CEO of none other than Google (the pace-setter and pioneer of the search-as-business model) for a decade, and then stayed on as chairman and ultimately board member of Google and then Alphabet (its later holding company) until just last June.

Schmidt presided over Google at what you could argue was its most important time, gaining speed and scale and transitioning from an academic idea into a full-fledged, huge public business whose flagship product has now entered the lexicon as a verb and (through search and other services like Android and YouTube) is a mainstay of how the vast majority of the world uses the web today. As such, he is good at spotting opportunities and gaps in the market, and while enterprise-based needs will never be as prominent as those of mass-market consumers, they can be just as lucrative.

“Information is the currency of business today, but data is overwhelming and fragmented, making it difficult for business professionals to find the right insights to drive key business decisions,” he said in a statement. “We were impressed by the way AlphaSense solves this with its AI and search technology, allowing businesses to proceed with the confidence that they have the right information driving their strategy.”

This brings the total raised by AlphaSense to $90 million, with other investors in this round including Soros Fund Management LLC and other unnamed existing investors. Previous backers had included Tom Glocer (the former Reuters CEO who himself is working on his own fintech startup, a security firm called BlueVoyant), the MassChallenge incubator, Tribeca Venture Partners and others. Kokko said AlphaSense is not disclosing its valuation at this point. (I’m guessing though that it’s definitely on the up.)

There have been others that have worked to try to tackle the idea of providing more targeted, and business-focused, search portals, from the likes of Wolfram Alpha (another alpha!) through to Lexis Nexis and others like Bloomberg’s terminals, FactSet, Business Quant and many more.

One interesting aspect of AlphaSense is how it’s both focused on pulling in requests as well as set up to push information to its users based on previous search parameters. Currently these are set up to only provide information, but over time, there is a clear opportunity to build services to let the engines take on some of the actions based on that information, such as adjusting asking prices for sales and other transactions.

“There are all kinds of things we could do,” said Kokko. “This is a massive untapped opportunity. But we’re not taking the human out of the loop, ever. Humans are the right ones to be making final decisions, and we’re just about helping them make those faster.”

During my recent conversation with Peter Kraus, which was supposed to be focused on Aperture and its launch of the Aperture New World Opportunities Fund, I couldn’t help veering off into tangents about the market in general. Below is Kraus’ take on the availability of alpha generation, the Fed, inflation versus Amazon, housing, the cross-ownership of U.S. equities by a few huge funds and high-frequency trading.

Gregg Schoenberg: Will alpha be more available over the next five years than it has been over the last five?

Peter Kraus: Do I think it’s more available in the next five years than it was in the last five years? No. Do I think people will pay more attention to it? Yes, because when markets are up to 30 percent, if you get another five, it doesn’t matter. When markets are down 30 percent and I save you five by being 25 percent down, you care.

GS: Is the Fed’s next move up or down?

PK: I think the Fed does zero, nothing. In terms of its next interest rate move, in my judgment, there’s a higher probability that it’s down versus up.