As the pandemic rages on, companies are looking for an edge when it comes to sales. Having the right data about the customers most likely to convert can be a huge boost right now. Slintel, an early stage startup building a sales intelligence tool, announced a $4.2 million seed round today.

The investment was led by Accel with help from Sequoia Capital India and existing investor Stellaris Venture Partners. The company reports it has now raised $5.7 million including a pre-seed round last year.

Deepak Anchala, company founder and CEO, says that while sales and marketing teams are trying to target a broad market, most of the time their emails and other forms of communication with customers fall flat. As a sales person in previous startups, Eightfold and Tracxn, this was a problem Anchala experienced first hand. He believed with data, he could improve this, and he started Slintel to build a tool to provide the sales data that he was missing in these previous positions.

“We focus on helping our customers solve that [lack of data] by identifying people with high buying intent. So we are able to tell sales and marketing teams, for example, who is most likely to buy your product or your service, and who is most likely to buy your product today, as opposed to two months or six months from now,” Anchala explained.

They do this by looking at signals that might not be obvious, but which let sales teams know key information about these companies and their likelihood of buying soon. He says that every company leaves a technology footprint. This could be data from SEC filings, annual reports, job openings and so forth.

“In today’s world there is an enormous amount of footprint left online when a company uses a certain product. So what our algorithms do is we map that at scale for about 15 million companies to all the products that they’re using from the different sources we are able to identify — and we track it all from week to week,” he said.

The company has 45 employees today and expects to double that number by the end of 2021. As he builds the company, especially as an immigrant founder, Anchala wants to build a diverse and inclusive organization.

“I think one of the key successes for companies today is having diversity. We have a global workforce, so we have a workforce in the U.S. and India and we want to capitalize on that. In the next phase of hires we are looking at hiring more more diverse candidates, more female employees and people of different nationalities,” he said.

The company, which was founded in 2018, and emerged from stealth last year, has amassed 100 enterprise customers and has seen most of the customers actually come on board this year as COVID has forced companies to find ways to be more efficient with their sales processes.

Intel continues to snap up startups to build out its machine learning and AI operations. In the latest move, TechCrunch has learned that the chip giant has acquired Cnvrg.io, an Israeli company that has built and operates a platform for data scientists to build and run machine learning models, which can be used to train and track multiple models and run comparisons on them, build recommendations and more.

Intel confirmed the acquisition to us with a short note. “We can confirm that we have acquired Cnvrg,” a spokesperson said. “Cnvrg will be an independent Intel company and will continue to serve its existing and future customers.” Those customers include Lightricks, ST Unitas and Playtika.

Intel is not disclosing any financial terms of the deal, nor who from the startup will join Intel. Cnvrg, co-founded by Yochay Ettun (CEO) and Leah Forkosh Kolben, had raised $8 million from investors that include Hanaco Venture Capital and Jerusalem Venture Partners, and PitchBook estimates that it was valued at around $17 million in its last round. 

It was only a week ago that Intel made another acquisition to boost its AI business, also in the area of machine learning modeling: it picked up SigOpt, which had developed an optimization platform to run machine learning modeling and simulations.

While SigOpt is based out of the Bay Area, Cnvrg is in Israel, and joins an extensive footprint that Intel has built in the country, specifically in the area of artificial intelligence research and development, banked around its Mobileye autonomous vehicle business (which it acquired for more than $15 billion in 2017) and its acquisition of AI chipmaker Habana (which it acquired for $2 billion at the end of 2019).

Cnvrg.io’s platform works across on-premise, cloud and hybrid environments and it comes in paid and free tiers (we covered the launch of the free service, branded Core, last year). It competes with the likes of Databricks, Sagemaker and Dataiku, as well as smaller operations like H2O.ai that are built on open-source frameworks. Cnvrg’s premise is that it provides a user-friendly platform for data scientists so they can concentrate on devising algorithms and measuring how they work, not building or maintaining the platform they run on.

While Intel is not saying much about the deal, it seems that some of the same logic behind last week’s SigOpt acquisition applies here as well: Intel has been refocusing its business around next-generation chips to better compete against the likes of Nvidia and smaller players like GraphCore. So it makes sense to also provide/invest in AI tools for customers, specifically services to help with the compute loads that they will be running on those chips.

It’s notable that in our article about the Core free tier last year, Frederic noted that those using the platform in the cloud can do so with Nvidia-optimized containers that run on a Kubernetes cluster. It’s not clear if that will continue to be the case, or if containers will be optimized instead for Intel architecture, or both. Cnvrg’s other partners include Red Hat and NetApp.

Intel’s focus on the next generation of computing aims to offset declines in its legacy operations. In the last quarter, Intel reported a 3% decline in its revenues, led by a drop in its data center business. It said that it’s projecting the AI silicon market to be bigger than $25 billion by 2024, with AI silicon in the data center to be greater than $10 billion in that period.

In 2019, Intel reported some $3.8 billion in AI-driven revenue, but it hopes that tools like SigOpt’s will help drive more activity in that business, dovetailing with the push for more AI applications in a wider range of businesses.

Stensul, a startup aiming to streamline the process of building marketing emails, has raised $16 million in Series B funding.

When the company raised its $7 million Series A two years ago, founder and CEO Noah Dinkin told me about how it spun out of his previous startup, FanBridge. And while there are many products focused on email delivery, he said Stensul is focused on the email creation process.

Dinkin made many similar points when we discussed the Series B last week. He said that for many teams, creating a marketing email can take weeks. With Stensul, that process can be reduced to just two hours, with marketers able to create the email on their own, without asking developers for help. Things like brand guidelines are already built in, and it’s easy to get feedback and approval from executives and other teams.

Dinkin also noted that while the big marketing clouds all include “some kind of email builder, it’s not their center of gravity.”

He added, “What we tell folks [is that] literally over half the company is engineers, and they are only working on email creation.”

The team has recently grown to more than 100 employees, with new customers like Capital One, ASICS Digital, Greenhouse, Samsung, AppDynamics, Kroger and Clover Health. New features include an integration with work management platform Workfront.

Plus, with other marketing channels paused or diminished during the pandemic, Dinkin said that email has only become more important, with the old, time-intensive process becoming more and more of a burden.

“We need more emails — whether that’s more versions or more segments or more languages, the requests are through the roof,” he said. “The teams are the same size … and so that’s where especially the leaders of these organizations have looked inward a lot more. The ways that they have been doing it for years or decades just doesn’t work anymore and prevents them from being competitive in the marketplace.”

The new round was led by USVP, with participation from Capital One Ventures, Peak State Ventures, plus existing investors Javelin Venture Partners, Uncork Capital, First Round Capital and Lowercase Capital . Individual investors include Okta co-founder and COO Frederic Kerrest, Okta CMO Ryan Carlson, former Marketo/Adobe executive Aaron Bird, Avid Larizadeh Duggan, Gary Swart and Talend CMO Lauren Vaccarello.

Dinkin said the money will allow Stensul to expand its marketing, product, engineering and sales teams.

“We originally thought: Everybody who sends email should have an email creation platform,” he said. “And ‘everyone who sends email’ is synonymous with ‘every company in the world.’ We’ve just seen that accelerate in that last few years.”

It was barely a month ago we began hearing rumors that Twilio was interested in acquiring Segment. The $3.2 billion deal was officially announced three weeks ago, and this morning the communications API company announced that the deal had closed, astonishingly fast for an acquisition of this size.

While we can’t know for sure, the speed with which the deal closed could suggest that it was in the works longer than we had known, and when we began hearing rumors of the acquisition, it could have already been signed, sealed and delivered. In addition, the fact that Twilio CEO Jeff Lawson and Segment CEO Peter Reinhardt knew one another before coming to terms might have helped accelerate the process.

Regardless, the two companies are a nice fit. Both deal with the API economy, providing a set of tools to help developers easily add a particular set of functions to their applications. For Twilio, that’s a set of communications APIs, while Segment focuses on customer data.

When you pull the two sets of tooling together, and combine that with Twilio’s 2018 SendGrid acquisition, you can see the possibility to build more complete applications for interacting with customers at every level, including basic communications like video, SMS and audio from Twilio, as well as customer data from Segment and customized emails and ads based on those interactions from SendGrid.

As companies increasingly focus on digital engagement, especially in the midst of a pandemic, Twilio’s Lawson believes the biggest roadblock to this type of engagement has been that data has been locked in silos, precisely the kind of problem that Segment has been attacking.

“With the addition of Segment, Twilio’s Customer Engagement Platform now enables companies to both understand their customer and engage with them digitally — the combination is key to building great digital experiences,” Lawson said in a statement.

In a recent post looking at the reasoning behind the deal, Brent Leary, founder and principal analyst at CRM Essentials, saw it this way: “This move allows Twilio to impact the data-insight-interaction-experience transformation process by removing friction from developers using their platform,” Leary explained.

With the deal closed, Segment will become a division of Twilio. Reinhardt will continue to be CEO, and will report directly to Lawson.

Online education tools continue to see a surge of interest boosted by major changes in work and learning practices in the midst of a global health pandemic. And today, one of the early pioneers of the medium is announcing some funding as it tips into profitability on the back of a pivot to enterprise services, targeting businesses and governments who are looking to upskill workers to give them tech expertise more relevant to modern demands.

Udacity, which provides online courses and popularized the concept of “nanodegrees” in tech-related subjects like artificial intelligence, programming, autonomous driving and cloud computing, has secured $75 million in the form of a debt facility. The funding will be used to continue investing in its platform to target more business customers.

Udacity said that part of the business is growing fast, with Q3 bookings up by 120% year-over-year and average run rates up 260% in H1 2020.

Udacity said that customers in the segment include “five of the world’s top seven aerospace companies, three of the Big Four professional services firms, the world’s leading pharmaceutical company, Egypt’s Information Technology Industry Development Agency, and three of the four branches of the United States Department of Defense”, which work with Udacity to build tailor-made courses for their specific needs, as well as use off-the-shelf content from its catalogue.

Udacity also works with companies to build programs as part of their CSR remits, and with tech companies like Microsoft to build programs to get more developers using their tools.

“We’re seeing tremendous demand on the enterprise and government side,” said Gabe Dalporto, Udacity’s CEO who joined the company in 2019. “But to date it’s mostly been inbound, with enterprises, Fortune 500 companies and government organizations coming in and wanting to work with us. Now it’s time to build out a sales team to go after them.”

The news today is a welcome turn of events for a company that has been in the spotlight over the years for less rosy reasons, partly because it found it challenging to land on a profitable business model.

Founded nearly a decade ago by three robotics specialists including Sebastian Thrun, the Stanford professor who at the time was instrumental in building and running Google’s self-driving car and larger moonshot programs, Udacity initially saw an opportunity to partner with colleges and universities to build online tech courses (Thrun’s academic standing, and the vogue for MOOCs, were possibly two fillips for that strategy).

After that proved to be too challenging and costly, Udacity pivoted to positioning itself as a vocational learning provider targeting adults, specifically those who didn’t have the hours or money to embark on full-time courses but wanted to learn tech skills that could help them land better jobs.

That resulted in some substantial user growth, but still no profit. Eventually, the company faced multiple rounds of layoffs as it restructured and gravitated closer to its current form.

Currently, the company still provides direct-to-consumer (direct-to-learner?) courses, but it won’t be long, Dalporto said, before enterprise and government customers account for about 80% of the company’s business.

Previously, Udacity had raised nearly $170 million from a pretty illustrious group of investors that include Andreessen Horowitz, Ballie Gifford, CRV, Emerson Collective and more. This latest tranche is coming in the form of a debt facility from a single company, Hercules Capital.

Dalporto said the decision to take the debt route came after initially getting a number of term sheets for an equity round.

“We had multiple term sheets on the equity side, but then we received an unsolicited debt term sheet unsolicited,” he said. That led to the company modelling out the cost of capital and dilution, he said, and “it turned out it was the better option.” For now, he added, equity was “off the table” but it may consider revisiting the idea en route to a public listing. “For the foreseeable future, we are cash flow positive so there is no compelling reason right now, but we might do something closer to an IPO.”

Being a debt facility, this funding does not mean a revisiting of Udacity’s valuation. The company was last capitalized five years ago at $1 billion, but Dalporto would not comment on how that had changed in the (uncompleted) equity term sheets it had received.

Education is in session

The interest Udacity is seeing — both from investors and as a company — is part of the bigger spotlight that online education companies have had in the last year. In K-12 and university education, the focus has been on building better technology and content to help students stay engaged and continue learning even when they cannot be in their normal physical classrooms as schools, districts, governments and public health officials implement social distancing to slow the spread of COVID-19.

But that’s not the only classroom where online education is getting called on. In the world of business, organizations that have also gone remote because of the pandemic are facing a matrix of challenges. How can they keep employees productive and feeling like part of a team when they no longer work next to each other? How do they make sure their workforces have the skills they need to work in the new environment? How do they make sure their own businesses are equipped with the right technology, and the expertise of people to run it, for this latest and future iterations of “work”? And how can governments make sure their economies don’t fall off a cliff as a result of the pandemic?

Online education has been seen as something of a panacea for all of these questions, and that has spelled a lot of opportunity for tech companies building online learning tools and other infrastructure — with others including the likes of Coursera, LinkedIn, Pluralsight, Treehouse and Springboard in the area of tech-related courses and learning platforms for workers.

As with other market segments like e-commerce, this isn’t about a trend emerging out of the blue, but about it accelerating much faster than people projected it would.

“Given Udacity’s growth, focus on sustainable business practices, and expanding reach across multiple industries, we are excited to provide this investment. We look forward to working with the company to help them sustain their impressive global growth, and continued innovation in upskilling and reskilling,” said Steve Kuo, Senior MD and Technology Group Head at Hercules Capital, in a statement.

In the areas of enterprise and government, Dalporto described a number of scenarios where Udacity is already active, which are natural progressions of the kind of vocational learning it was already offering.

They include, for example, the energy company Shell retraining structural and geological engineers “who had good math skills but no machine learning expertise” to be able to work in data science, needed as the company builds more automation into its operation and moves into new kinds of energy technology.

And he said that Egypt and other nations — looking to the success that India has had — have been providing technology expertise training to residents to help them find jobs in the “outsourcing economy.” He said that the program in Egypt has seen an 80% graduation rate and 70% “positive outcomes” (resulting in jobs).

“If you take just AI and machine learning, demand for these skills is growing at a rate of 70% year-over-year, but there is a shortage of talent to fill those roles,” Dalporto said.

Udacity is for now not looking at any acquisitions, he added, for another 6-12 months. “We have so much demand and work to do internally that there is no compelling reason to do that. At some point we will look at that but it needs to be linked to our strategy.”