Finding the right learning platform can be difficult, especially as companies look to upskill and reskill their talent to meet demand for certain technological capabilities, like data science, machine learning and artificial intelligence roles.

Workera.ai’s approach is to personalize learning plans with targeted resources — both technical and nontechnical roles — based on the current level of a person’s proficiency, thereby closing the skills gap.

The Palo Alto-based company secured $16 million in Series A funding, led by New Enterprise Associates, and including existing investors Owl Ventures and AI Fund, as well as individual investors in the AI field like Richard Socher, Pieter Abbeel, Lake Dai and Mehran Sahami.

Kian Katanforoosh, Workera’s co-founder and CEO, says not every team is structured or feels supported in their learning journey, so the company comes at the solution from several angles with an assessment on technical skills, where the employee wants to go in their career and what skills they need for that, and then Workera will connect those dots from where the employee is in their skillset to where they want to go. Its library has more than 3,000 micro-skills and personalized learning plans.

“It is what we call precision upskilling,” he told TechCrunch. “The skills data then can go to the organization to determine who are the people that can work together best and have a complementary skill set.”

Workera was founded in 2020 by Katanforoosh and James Lee, COO, after working with Andrew Ng, Coursera co-founder and Workera’s chairman. When Lee first connected with Katanforoosh, he knew the company would be able to solve the problem around content and basic fundamentals of upskilling.

It raised a $5 million seed round last October to give the company a total of $21 million raised to date. This latest round was driven by the company’s go-to-market strategy and customer traction after having acquired over 30 customers in 12 countries.

Over the past few quarters, the company began working with Fortune 500 companies, including Siemens Energy, across industries like professional services, medical devices and energy, Lee said. As spending on AI skills is expected to exceed $79 billion by 2022, he says Workera will assist in closing the gap.

“We are seeing a need to measure skills,” he added. “The size of the engagements are a sign as is the interest for tech and non-tech teams to develop AI literacy, which is a more pressing need.”

As a result, it was time to increase the engineering and science teams, Katanforoosh said. He plans to use the new funding to invest in more talent in those areas and to build out new products. In addition, there are a lot of natural language processes going on behind the scenes, and he wants the company to better understand it at a granular level so that the company can assess people more precisely.

Carmen Chang, general partner and head of Asia at NEA, said she is a limited partner in Ng’s AI fund and in Coursera, and has looked at a lot of his companies.

She said she is “very excited” to lead the round and about Workera’s concept. The company has a good understanding of the employee skill set, and with the tailored learning program, will be able to grow with company needs, Chang added.

“You can go out and hire anyone, but investing in the people that you have, educating and training them, will give you a look at the totality of your employees,” Chang said. “Workera is able to go in and test with AI and machine learning and map out the skill sets within a company so they will be able to know what they have, and that is valuable, especially in this environment.”

Which terms come to mind when you think about SaaS?

“Solutions,” “cutting-edge,” “scalable” and “innovative” are just a sample of the overused jargon lurking around every corner of the techverse, with SaaS marketers the world over seemingly singing from the same hymn book.

Sadly for them, new research has proven that such jargon-heavy copy — along with unclear features and benefits — is deterring customers and cutting down conversions. Around 57% of users want to see improvements in the clarity and navigation of websites, suggesting that techspeak and unnecessarily complex UX are turning customers away at the door, according to The SaaS Engine.

That’s not to say SaaS marketers aren’t trying: Seventy percent of those surveyed have been making big adjustments to their websites, and 33% have updated their content. So how and why are they missing the mark?

There are three common blunders that most SaaS marketers make time and again when it comes to clarity and high-converting content:

1. Not differentiating from competitors.
2. Not humanizing “tech talk.”
3. Not tuning their messaging to prospects’ stage of awareness at the appropriate stage of the funnel.

We’re going to unpack what the research suggests and the steps you can take to avoid these common pitfalls.

Blending into the competition

It’s a jungle out there. But while camouflage might be key to surviving in the wild, in the crowded SaaS marketplace, it’s all about standing out. Let’s be honest: How many SaaS homepages have you visited that look the same? How many times have you read about “innovative tech-driven solutions that will revolutionize your workflow”?

The research has found that of those using SaaS at work, 76% are now on more platforms or using existing ones more intensively than last year. And as always, with increased demand comes a boom in competition, so it’s never been more important to stand out. Rather than imitating the same old phrases and copy your competitors are using, it’s time to reach your audience with originality, empathy and striking clarity.

But how do you do that?

Earlier today, spend management startup Ramp said it has raised a $300 million Series C that valued it at $3.9 billion. It also said it was acquiring Buyer, a “negotiation-as-a-service” platform that it believes will help customers save money on purchases and SaaS products.

The round and deal were announced just a week after competitor Brex shared news of its own acquisition — the $50 million purchase of Israeli fintech startup Weav. That deal was made after Brex’s founders invested in Weav, which offers a “universal API for commerce platforms.”

From a high level, all of the recent deal-making in corporate cards and spend management shows that it’s not enough to just help companies track what employees are expensing these days. As the market matures and feature sets begin to converge, the players are seeking to differentiate themselves from the competition.

But the point of interest here is these deals can tell us where both companies think they can provide and extract the most value from the market.

Earning more by spending less

Let’s start with Ramp. Launched in 2019, the company is a relative newcomer in the spend management category. But by all accounts, it’s producing some impressive growth numbers. As our colleague Mary Ann Azevedo wrote:

Since the beginning of 2021, the company says it has seen its number of cardholders on its platform increase by 5x, with more than 2,000 businesses currently using Ramp as their “primary spend management solution.” The transaction volume on its corporate cards has tripled since April, when its last raise was announced. And, impressively, Ramp has seen its transaction volume increase year over year by 1,000%, according to CEO and co-founder Eric Glyman.

Ramp’s focus has always been on helping its customers save money: It touts a 1.5% cash back reward for all purchases made through its cards, and says its dashboard helps businesses identify duplicitous subscriptions and license redundancies. Ramp also alerts customers when they can save money on annual versus monthly subscriptions, which it says has led many customers to do away with established T&E platforms like Concur or Expensify.

All told, the company claims that the average customer saves 3.3% per year on expenses after switching to its platform — and all that is before it brings Buyer into the fold.

Bodo.ai, a parallel compute platform for data workloads, is developing a compiler to make Python portable and efficient across multiple hardware platforms. It announced Wednesday a $14 million Series A funding round led by Dell Technologies Capital.

Python is one of the top programming languages used among artificial intelligence and machine learning developers and data scientists, but as Behzad Nasre, co-founder and CEO of Bodo.ai, points out, it is challenging to use when handling large-scale data.

Bodo.ai, headquartered in San Francisco, was founded in 2019 by Nasre and Ehsan Totoni, CTO, to make Python higher performing and production ready. Nasre, who had a long career at Intel before starting Bodo, met Totoni and learned about the project that he was working on to democratize machine learning and enable parallel learning for everyone. Parallelization is the only way to extend Moore’s Law, Nasre told TechCrunch.

Bodo does this via a compiler technology that automates the parallelization so that data and ML developers don’t have to use new libraries, APIs or rewrite Python into other programming languages or graphics processing unit code to achieve scalability. Its technology is being used to make data analytics tools in real time and is being used across industries like financial, telecommunications, retail and manufacturing.

“For the AI revolution to happen, developers have to be able to write code in simple Python, and that high-performance capability will open new doors,” Totoni said. “Right now, they rely on specialists to rewrite them, and that is not efficient.”

Joining Dell in the round were Uncorrelated Ventures, Fusion Fund and Candou Ventures. Including the new funding, Bodo has raised $14 million in total. The company went after Series A dollars after its product had matured and there was good traction with customers, prompting Bodo to want to scale quicker, Nasre said.

Nasre feels Dell Technologies Capital was “uniquely positioned to help us in terms of reserves and the role they play in the enterprise at large, which is to have the most effective salesforce in enterprise.”

Though he was already familiar with Nasre, Daniel Docter, managing director at Dell Technologies, heard about Bodo from a data scientist friend who told Docter that Bodo’s preliminary results “were amazing.”

Much of Dell’s investments are in the early-stage and in deep tech founders that understand the problem. Docter puts Totoni and Nasre in that category.

“Ehsan fits this perfectly, he has super deep technology knowledge and went out specifically to solve the problem,” he added. “Behzad, being from Intel, saw and lived with the problem, especially seeing Hadoop fail and Spark take its place.”

Meanwhile, with the new funding, Nasre intends to triple the size of the team and invest in R&D to build and scale the company. It will also be developing a marketing and sales team.

The company is now shifting from financing to customer- and revenue-focused as it aims to drive up adoption by the Python community.

“Our technology can translate simple code into the fast code that the experts will try,” Totoni said. “I joined Intel Labs to work on the problem, and we think we have the first solution that will democratize machine learning for developers and data scientists. Now, they have to hand over Python code to specialists who rewrite it for tools. Bodo is a new type of compiler technology that democratizes AI.”

Enterprise startups have several viable exit strategies: Some will go public, but most successful outcomes will be via acquisition, often by one of the highly acquisitive large competitors like Salesforce, Microsoft, Amazon, Oracle, SAP, Adobe or Cisco.

From rivals to “spin-ins,” Cisco has a particularly rich history of buying its way to global success. It has remained quite active, acquiring more than 30 startups over the last four years for a total of 229 over the life of the company. The most recent was Epsagon earlier this month, with five more in its most recent quarter (Q4 FY2021): Slido, Sedona Systems, Kenna Security, Involvio and Socio. It even announced three of them in the same week.

What’s the secret sauce? How it is going faster than ever? For startups that encounter a company like Cisco, what do you need to know if you have talks that go places with it? We spoke to the company CFO, senior vice president of corporate development, and the general manager and executive vice president of security and collaboration to help us understand how all of the pieces fit together, why they acquire so many companies and what startups can learn from their process.

Cisco, as you would expect, has developed a rigorous methodology over the years to identify startups that could fit its vision. That involves product, of course, but also team and price, all coming together to make a successful deal. From targeting to negotiating to closing to incorporating the company into the corporate fold, a startup can expect a well-tested process.

Even with all this experience, chances are it won’t work perfectly every time. But since Cisco started doing M&A nine years into its history with the purchase of LAN switcher Crescendo Communications in 1993 — leading to its massive switching business today — the approach clearly works well enough that they keep doing it.

It starts with cash

If you want to be an acquisitive company, chances are you have a fair amount of cash on hand. That is certainly the case with Cisco, which currently has more than $24.5 billion in cash and equivalents, albeit down from $46 billion in 2017.

CFO Scott Herren says that the company’s cash position gives it the flexibility to make strategic acquisitions when it sees opportunities.

“We generate free cash flow net of our capex in round numbers in the $14 billion a year range, so it’s a fair amount of free cash flow. The dividend consumes about $6 billion a year,” Herren said. “We do share buybacks to offset our equity grant programs, but that still leaves us with a fair amount of cash that we generate year on year.”

He sees acquisitions as a way to drive top-line company growth while helping to push the company’s overall strategic goals. “As I think about where our acquisition strategy fits into the overall company strategy, it’s really finding the innovation we need and finding the companies that fit nicely and that marry to our strategy,” he said.

“And then let’s talk about the deal … and does it make sense or is there a … seller price point that we can meet and is it clearly something that I think will continue to be a core part of our strategy as a company in terms of finding innovation and driving top-line growth there,” he said.

The company says examples of acquisitions that both drove innovation and top-line growth include Duo Security in 2018, ThousandEyes in 2020 and Acacia Communications this year. Each offers some component that helps drive Cisco’s strategy — security, observability and next-generation internet infrastructure — while contributing to growth. Indeed, one of the big reasons for all these acquisitions could be about maintaining growth.

Playing the match game

Cisco is at its core still a networking equipment company, but it has been looking to expand its markets and diversify outside its core networking roots for years by moving into areas like communications and security. Consider that along the way it has spent billions on companies like WebEx, which it bought in 2007 for $3.2 billion, or AppDynamics, which it bought in 2017 for $3.7 billion just before it was going to IPO. It has also made more modest purchases (by comparison at least), such as MindMeld for $125 million and countless deals that were too small to require them to report the purchase price.

Derek Idemoto, SVP for corporate development and Cisco investments, has been with the company for 100 of those acquisitions and has been involved in helping scout companies of interest. His team begins the process of identifying possible targets and where they fall within a number of categories, such as whether it allows them to enter new markets (as WebEx did), extend their markets (as with Duo Security), or acqui-hire top technical talent and get some cool tech, as they did when they purchased BabbleLabs last year.