Financial services companies like banks and insurance tend to be heavily regulated. As such, they require a special level of security and auditability. Hearsay, which makes compliant communications tools for these types of companies, announced a new partnership with Salesforce today, enabling smooth integration with Salesforce CRM and marketing automation tools.

The company also announced that Salesforce would be taking a minority stake in Hearsay, although company co-founder and CEO Clara Shih, did not provide any details on that part of the announcement.

Shih says the company created the social selling category when it launched 10 years ago. Today, it provides a set of tools like email, messaging and websites along with a governance layer to help financial services companies interact with customers in a compliant way. Their customers are primarily in banking, insurance, wealth management and mortgages.

She said that they realized if they could find a way to share the data they were collecting with the Hearsay tool set with CRM and marketing automation software in an automated way, it would make greater use of this information than it could on its own. To that end, they have created a set of APIs to enable that with some built-in connectors. The first one will be to connect Hearsay to Salesforce, with plans to add other vendors in the future.

“It’s about being able to connect [data from Hearsay] with the CRM system of record, and then analyzing it across thousands, if not tens of thousands of advisors or bankers in a single company, to uncover best practices. You could then use that information like GPS driving directions that help every advisor behave in the moment and reach out in the moment like the very best advisor would,” Shih explained.

In practice, this means sharing the information with the customer data platform (CDP), the CRM and marketing automation tooling to deliver more intelligent targeting based on a richer body of information. So the advisor can use information gleaned from everything he or she knows about the client across the set of tools to deliver a more meaningful personal message instead of a targeted ad or an email blast. As Shih points out, the ad might even make sense, but could be tone deaf depending on the circumstances.

“What we focus on is this human-client experience, and that can only be delivered in the last mile because it’s only with the advisor that many clients will confide in these very important life events and life decisions, and then conversely, it’s only in the last mile that the trusted advisor can deliver relationship advice,” she said.

She says what they are trying to do by combining streams of data about the customer is build loyalty in a way that pure technology solutions just aren’t capable of doing. As she says, nobody says they are switching banks because it has the best chat bot.

Hearsay was founded in 2009 and has raised $51 million, as well as whatever other money Salesforce will be adding to the mix with today’s investment. Other investors include Sequoia and NEA Associates. Its last raise was way back in 2013, a $30 million Series C.

Low-code is a hot category these days. It helps companies build workflows or simple applications without coding skills, freeing up valuable engineering resources for more important projects. Paragon, a member of the Y Combinator Winter 2020 cohort, announced a $2.5 million seed round today for its low-code application integration platform.

Investors include Y Combinator, Village Global, Global Founders Capital, Soma Capital and FundersClub.

“Paragon makes it easier for non-technical people to be able to build out integrations using our visual workflow editor. We essentially provide building blocks for things like API requests, interactions with third party APIs and conditional logic. And so users can drag and drop these building blocks to create workflows that describe business logic in their application,” says company co-founder Brandon Foo.

Foo acknowledges there are a lot of low-code workflow tools out there, but many like UIPath, Blue Prism and Automation Anywhere concentrate on Robotic Process Automation (RPA) to automate certain tasks. He says he and co-founder Ishmael Samuel wanted to focus on developers.

“We’re really focused on how can we improve developer efficiency, and how can we bring the benefits of low code to product and engineering teams and make it easier to build products without writing manual code for every single integration, and really be able to streamline the product development process,” Foo told TechCrunch.

The way it works is you can drag and drop one of 1200 predefined connectors for tools like Stripe, Slack and Google Drive into a workflow template, and build connectors very quickly to trigger some sort of action. The company is built on AWS serverless architecture, so you define the trigger action and subsequent actions, and Paragon handles all of the back-end infrastructure requirements for you.

It’s early days for the company. After launching in private beta in January, the company has 80 customers. It currently has 6 employees including Foo, who previously co-founded Polymail and Samuel, who was previously lead engineer at Uber. They plan to hire 4 more employees this year.

With both founders people of color, they definitely are looking to build a diverse team around them. “I think it’s already sort of built into our DNA. As a diverse founding team we have perhaps a broader viewpoint and perspective in terms of hiring the kind of people that we seek to work with. Of course, I think there’s always room for improvements, and so we’re always looking for new ways that we can be more inclusive in our hiring recruiting process [as we grow],” he said.

As far as raising during a pandemic, he says it’s been a crazy time, but he believes they are solving a real problem and that they can succeed in spite of the macro economic conditions of the moment.

When SAP announced it was spinning out Qualtrics on Sunday, a company it bought less than two years ago for an eye-popping $8 billion, it was enough to make your head spin. At the time, then CEO Bill McDermott saw it as a way to bridge the company’s core operational with customer data, while acquiring a cloud company that could help generate recurring revenue for the ERP giant, and maybe give it a dose of innovation along the way.

But Sunday night the company announced it was spinning out the acquisition, giving its $8 billion baby independence, and essentially handing the company back to founder Ryan Smith, who will become the largest individual shareholder when this all over.

It’s not every day you see founders pull in a windfall like $8 billion, get sucked into the belly of the large corporate beast and come out the other side just 20 months later with the cash, independence and CEO as the largest individual stockholder.

While SAP will own a majority of the stock, much like Dell owns a majority of VMware, the company will operate independently and have its own board. It can acquire other firms and make decisions separately from SAP.

We spoke to a few industry analysts to find out what they think about all this, and while the reasoning behind the move involves a lot of complex pieces, it could be as simple as the deal was done under the previous CEO, and the new one was ready to move on from it.

Bold step

It’s certainly unusual for a company like SAP to spend this kind of money, and then turn around so quickly and spin it off. In fact, Brent Leary, principal analyst at CRM Essentials, says that this was a move he didn’t see coming, and it could be related to that fat purchase price. “To me it could mean that SAP didn’t see the synergies of the acquisition panning out as they had envisioned and are looking to recoup some of their investment,” Leary told TechCrunch.

Holger Mueller, an analyst with Constellation Research agreed with Leary’s assessment, but doesn’t think that means the deal failed. “SAP doesn’t lose anything in regards to their […] data and experience vision, as they still retain [controlling interest in Qualtrics] . It also opens the opportunity for Qualtrics to partner with other ERP vendors [and broaden its overall market],” he said.

Jeanne Bliss, founder and president at CustomerBLISS, a company that helps clients deliver better customer experiences sees this as a positive step forward for Qualtrics. “This spin off enables Qualtrics to focus on its core business and prove its ability to provide essential technology executives are searching for to enable speed of decision making, innovation and customization,” she said.

Show me the money

Patrick Moorhead, founder and principal analyst at Moor Insight & Strategy sees the two companies moving towards a VMware/Dell model where SAP removes the direct link between them, which could then make them more attractive to a broader range of customers than perhaps they would have been as part of the SAP family. “The big play here is all financial. With tech stocks up so high, SAP isn’t seeing the value in its stock. I am expecting a VMware kind of alignment with a strategic collaboration agreement,” he said.

Ultimately though, he says the the move reflects a cultural failure on the part of SAP. It simply couldn’t find a way to co-exist with a younger, more nimble company like Qualtrics. “I believe SAP spinning out Qualtrics is a sign that its close connection to create symbiotic value has failed. The original charter was to bring it in to modernize SAP but apparently the “not invented here” attitudes kicked in and doomed integration,” Moorhead said.

That symbiotic connection would have involved McDermott’s vision of combining operational and customer data, but Leary also suggested that since the deal happened under previous the CEO, that perhaps new CEO Christian Klein wants to start with a clean slate and this simply wasn’t his deal.

Qualtrics for the win

In the end, Qualtrics got all that money, gets to IPO after all, and returns to being an independent company selling to a larger potential customer base. All of the analysts we spoke to agreed the news is a win for Qualtrics itself.

Leary says the motivation for the original deal was to give SAP a company that could sell beyond its existing customer base. “It seems like that was the impetus for the acquisition, and the fact that SAP is spinning it off as an IPO 20 months after acquiring Qualtrics gives me the impression that things didn’t come together as expected,” he said.

Mueller also sees nothing but postivies Qualtrics. “It’s a win […] for Qualtrics, which can now deliver what they wanted [from the start], and it’s a win for customers as Qualtrics can run as fast as they want,” he said.

Regardless, the company moves on, and the Qualtrics IPO moves forward, and it’s almost as though Qualtrics gets a do-over with $8 billion in its pocket for its trouble.

The wider field of cybersecurity — not just defending networks, but identifying fraudulent activity — has seen a big boost in activity in the last few months, and that’s no surprise. The global health pandemic has led to more interactions and transactions moving online, and the contractions we’re feeling across the economy and society have led some to take more desperate and illegal actions, using digital challenges to do it.

Today, a U.K. company called Quantexa — which has built a machine learning platform branded “Contextual Decision Intelligence” (CDI) that analyses disparate data points to get better insight into nefarious activity, as well as to (more productively) build better profiles of a company’s entire customer base — is raising a growth round of funding to address that opportunity.

The London-based startup has picked up $64.7 million, a Series C it will be using to continue building out both its tools and the use cases for applying them, as well as expanding geographically, specifically in North America, Asia-Pacific and more European territories.

The mission, said Vishal Marria, Quantexa’s founder and CEO, is to “connect the dots to make better business decisions.”

The startup built its business on the back of doing work for major banks and others in the financial services sector, and Marria added that the plan will be to continue enhancing tools for that vertical while also expanding into two growing opportunities: working with insurance and government/public sector organizations.

The backers in this round speak to how Quantexa positions itself in the market, and the traction it’s seen to date for its business. It’s being led by Evolution Equity Partners — a VC that specialises in innovative cybersecurity startups — with participation also from previous backers Dawn Capital, AlbionVC, HSBC and Accenture, as well as new backers ABN AMRO Ventures. HSBC, Accenture and ABN AMRO are all strategic investors working directly with the startup in their businesses.

Altogether, Quantexa has “thousands of users” across 70+ countries, it said, with additional large enterprises, including Standard Chartered, OFX and Dunn & Bradstreet.

The company has now raised some $90 million to date, and reliable sources close to the company tell us that the valuation is “well north” of $250 million — which to me sounds like it’s between $250 million and $300 million.

Marria said in an interview that he initially got the idea for Quantexa — which I believe may be a creative portmanteau of “quantum” and “context” — when he was working as an executive director at Ernst & Young and saw “many challenges with investigations” in the financial services industry.

“Is this a money launderer?” is the basic question that investigators aim to answer, but they were going about it, “using just a sliver of information,” he said. “I thought to myself, this is bonkers. There must be a better way.”

That better way, as built by Quantexa, is to solve it in the classic approach of tapping big data and building AI algorithms that help, in Marria’s words, connect the dots.

As an example, typically, an investigation needs to do significantly more than just track the activity of one individual or one shell company, and you need to seek out the most unlikely connections between a number of actions in order to build up an accurate picture. When you think about it, trying to identify, track, shut down and catch a large money launderer (a typical use case for Quantexa’s software) is a classic big data problem.

While there is a lot of attention these days on data protection and security breaches that leak sensitive customer information, Quantexa’s approach, Marria said, is to sell software, not ingest proprietary data into its engine to provide insights. He said that these days deployments typically either are done on premises or within private clouds, rather than using public cloud infrastructure, and that when Quantexa provides data to complement its customers’ data, it comes from publicly available sources (for example, Companies House filings in the U.K.).

There are a number of companies offering services in the same general area as Quantexa. They include those that present themselves more as business intelligence platforms that help detect fraud (such as Looker) through to those that are secretive and present themselves as AI businesses working behind the scenes for enterprises and governments to solve tough challenges, such as Palantir, through to others focusing specifically on some of the use cases for the technology, such as ComplyAdvantage and its focus on financial fraud detection.

Marria says that it has a few key differentiators from these. First is how its software works at scale: “It comes back to entity resolution that [calculations] can be done in real time and at batch,” he said. “And this is a platform, software that is easily deployed and configured at a much lower total cost of ownership. It is tech and that’s quite important in the current climate.”

And that is what has resonated with investors.

“Quantexa’s proprietary platform heralds a new generation of decision intelligence technology that uses a single contextual view of customers to profoundly improve operational decision making and overcome big data challenges,” said Richard Seewald, founding and managing partner of Evolution, in a statement. “Its impressive rapid growth, renowned client base and potential to build further value across so many sectors make Quantexa a fantastic partner whose team I look forward to working with.” Seewald is joining the board with this round.

Reflect, a member of the Y Combinator Summer 2020 class, is building a tool to automate website and web application testing, making it faster to get your site up and running without waiting for engineers to write testing code, or for human testers to run the site through its paces.

Company CEO and co-founder Fitz Nowlan says his startup’s goal is to allow companies to have the ease of use and convenience of manual testing, but the speed of execution of automated or code-based testing.

“Reflect is a no-code tool for creating automated tests. Typically when you change your website, or your web application, you have to test it, and you have the choice of either having your engineers build coded tests to run through and ensure the correctness of your application, or you can hire human testers to do it manually,” he said.

With Reflect, you simply teach the tool how to test your site or application by running through it once, and based on those actions, Reflect can create a test suite for you. “You enter your URL, and we load it in a browser in a virtual machine in the cloud. From there, you just use your application just like a normal user would, and by using your application, you’re telling us what is important to test,” Nowlan explained.

He adds, “Reflect will observe all of your actions throughout that whole interaction with that whole browser session. And then from those actions, it will distill that down into a repeatable machine executable test.”

Nowlan and co-founder Todd McNeal started the company in September 2019 after spending five years together at a digital marketing startup near Philadelphia, where they experienced problems with web testing first-hand.

They launched a free version of this product in April, just as we were beginning to feel the full force of the pandemic in the U.S, a point that was not lost on him. “We didn’t want to delay any longer and we just felt like, you know you got to get up there and swing the bat,” he said.

Today, the company has 20 paying customers, and he has found that the pandemic has helped speed up sales in some instances, while slowing it down in others.

He says the remote YC experience has been a positive one, and in fact he couldn’t have participated had they had to show up in California as they have families and homes in Pennsylvania.  He says that the remote nature of the current program forces you to be fully engaged mentally to get the most out of the program.

“It’s just a little more mental work to prepare yourself and to have the mental energy to stay locked in for a remote batch. But I think if you can get over that initial hump, the information flow and the knowledge sharing is all the same,” he said.

He says as technical founders, the program has helped them focus on the sales and marketing side of the equation, and taught them that it’s more than building a good product. You still have to go out there and sell it to build a company.

He says his short-term goal is to get as many people as he can using the platform, which will help them refine their ability to automate the test building. For starters, that involves recording activities on-screen, but over time they plan to layer on machine learning and that requires more data.

“We’re going to focus primarily over the next six to 12 months on growing our customer base — both paid and unpaid — and I really mean that we want people to come in and create tests. Even if they [use the free product], we’re benefiting from that creation of that test,” he said.