Just about every company is sitting on vast amounts of data, which they can use to their advantage if they can just learn how to harness it. Data is actually the fuel for machine learning models, and with the proper tools, businesses can learn to process this data and build models to help them compete in a rapidly changing marketplace, to react more quickly to shifting customer requirements and to find insights faster than any human ever possibly could.

Boston-based DataRobot, a late-stage startup that has built a platform to help companies navigate the machine learning model lifecycle, has been raising money by the bushel over the last several years, including $206 million in September 2019 and another $300 million in July. DataRobot CEO Dan Wright will be joining us on a panel to discuss the role of data in business at TC Sessions: SaaS on October 27th.

The company covers the gamut of the machine learning lifecycle, including preparing data, operationalizing it and finally building APIs to make it useful for the organization as it attempts to build a soup-to-nuts platform. DataRobot’s broad platform approach has appealed to investors.

As we wrote at the time of the $206 million round:

The company has been catching the attention of these investors by offering a machine learning platform aimed at analysts, developers and data scientists to help build predictive models much more quickly than it typically takes using traditional methodologies. Once built, the company provides a way to deliver the model in the form of an API, simplifying deployment.

DataRobot has raised a total of $1 billion on $6.3 billion post valuation, according to PitchBook data, and it’s been putting that money to work to add to its platform of services. Most recently the company acquired Algorithmia, which helps manage machine learning models.

As the pandemic has pushed more business online, companies are always looking for an edge, and one way to achieve that is by taking advantage of AI and machine learning. Wright will be joined on the data panel by Monte Carlo co-founder and CEO Barr Moses and AgentSync co-founder and CTO Jenn Knight to discuss the growing role of data in business operations

In addition to our discussion with Wright, the conference will also include Microsoft’s Jared Spataro, Amplitude’s Olivia Rose, as well as investors Kobie Fuller and Laela Sturdy, among others. We hope you’ll join us. It’s going to be a thought-provoking lineup.

Buy your pass now to save up to $100. We can’t wait to see you in October!

( function() {
var func = function() {
var iframe = document.getElementById(‘wpcom-iframe-7210e537455a08d11092ef6fb981afaf’)
if ( iframe ) {
iframe.onload = function() {
iframe.contentWindow.postMessage( {
‘msg_type’: ‘poll_size’,
‘frame_id’: ‘wpcom-iframe-7210e537455a08d11092ef6fb981afaf’
}, “https://tcprotectedembed.com” );
}
}

// Autosize iframe
var funcSizeResponse = function( e ) {

var origin = document.createElement( ‘a’ );
origin.href = e.origin;

// Verify message origin
if ( ‘tcprotectedembed.com’ !== origin.host )
return;

// Verify message is in a format we expect
if ( ‘object’ !== typeof e.data || undefined === e.data.msg_type )
return;

switch ( e.data.msg_type ) {
case ‘poll_size:response’:
var iframe = document.getElementById( e.data._request.frame_id );

if ( iframe && ” === iframe.width )
iframe.width = ‘100%’;
if ( iframe && ” === iframe.height )
iframe.height = parseInt( e.data.height );

return;
default:
return;
}
}

if ( ‘function’ === typeof window.addEventListener ) {
window.addEventListener( ‘message’, funcSizeResponse, false );
} else if ( ‘function’ === typeof window.attachEvent ) {
window.attachEvent( ‘onmessage’, funcSizeResponse );
}
}
if (document.readyState === ‘complete’) { func.apply(); /* compat for infinite scroll */ }
else if ( document.addEventListener ) { document.addEventListener( ‘DOMContentLoaded’, func, false ); }
else if ( document.attachEvent ) { document.attachEvent( ‘onreadystatechange’, func ); }
} )();

Work insights platform Fin raised $20 million in Series A funding and brought in Evan Cummack, a former Twilio executive, as its new chief executive officer.

The San Francisco-based company captures employee workflow data from across applications and turns it into productivity insights to improve the way enterprise teams work and remain engaged.

Fin was founded in 2015 by Andrew Kortina, co-founder of Venmo, and Facebook’s former VP of product and Slow Ventures partner Sam Lessin. Initially, the company was doing voice assistant technology — think Alexa but powered by humans and machine learning — and then workplace analytics software in 2020. You can read more about Fin’s origins at the link below.

The new round was led by Coatue, with participation from First Round Capital, Accel and Kleiner Perkins. The original team was talented, but small, so the new funding will build out sales, marketing and engineering teams, Cummack said.

“At that point, the right thing was to raise money, so at the end of last year, the company raised a $20 million Series A, and it was also decided to find a leadership team that knows how to build an enterprise,” Cummack told TechCrunch. “The company had completely pivoted and removed ‘Analytics’ from our name because it was not encompassing what we do.”

Fin’s software measures productivity and provides insights on ways managers can optimize processes, coach their employees and see how teams are actually using technology to get their work done. At the same time, employees are able to manage their workflow and highlight areas where there may be bottlenecks. All combined, it leads to better operations and customer experiences, Cummack said.

Fin’s view is that as more automation occurs, the company is looking at a “renaissance of human work.” There will be more jobs and more types of jobs, but people will be able to do them more effectively and the work will be more fulfilling, he added.

Particularly with the use of technology, he notes that in the era before cloud computing, there was a small number of software vendors. Now with the average tech company using over 130 SaaS apps, it allows for a lot of entrepreneurs and adoption of best-in-breed apps so that a viable company can start with a handful of people and leverage those apps to gain big customers.

“It’s different for enterprise customers, though, to understand that investment and what they are spending their money on as they use tools to get their jobs done,” Cummack added. “There is massive pressure to improve the customer experience and move quickly. Now with many people working from home, Fin enables you to look at all 130 apps as if they are one and how they are being used.”

As a result, Fin’s customers are seeing metrics like 16% increase in team utilization and engagement, a 25% decrease in support ticket handle time and a 71% increase in policy compliance. Meanwhile, the company itself is doubling and tripling its customers and revenue each year.

Now with leadership and people in place, Cummack said the company is positioned to scale, though it already had a huge head start in terms of a meaningful business.

Arielle Zuckerberg, partner at Coatue, said via email that she was part of a previous firm that invested in Fin’s seed round to build a virtual assistant. She was also a customer of Fin Assistant until it was discontinued.

When she heard the company was pivoting to enterprise, she “was excited because I thought it was a natural outgrowth of the previous business, had a lot of potential and I was already familiar with management and thought highly of them.”

She believed the “brains” of the company always revolved around understanding and measuring what assistants were doing to complete a task as a way to create opportunities for improvement or automation. The pivot to agent-facing tools made sense to Zuckerberg, but it wasn’t until the global pandemic that it clicked.

“Service teams were forced to go remote overnight, and companies had little to no visibility into what people were doing working from home,” she added. “In this remote environment, we thought that Fin’s product was incredibly well-suited to address the challenges of managing a growing remote support team, and that over time, their unique data set of how people use various apps and tools to complete tasks can help business leaders improve the future of work for their team members. We believe that contact center agents going remote was inevitable even before COVID, but COVID was a huge accelerant and created a compelling ‘why now’ moment for Fin’s solution.”

Going forward, Coatue sees Fin as “a process mining company that is focused on service teams.” By initially focusing on customer support and contact center use case — a business large enough to support a scaled, standalone business — rather than joining competitors in going after Fortune 500 companies where implementation cycles are long and there is slow time-to-value, Zuckerberg said Fin is better able to “address the unique challenges of managing a growing remote support team with a near-immediate time-to-value.”

 

Relationships ultimately close deals, but long-term relationships come with a lot of baggage, i.e. email interactions, documents and meetings.

Affinity wants to take what Ray Zhou, co-founder and CEO, refers to as “data exhaust,” all of those daily interactions and communications, and apply machine learning analysis and provide insights on who in the organization has the best chance of getting that initial meeting and closing the deal.

Today, the company announced $80 million in Series C funding, led by Menlo Ventures, which was joined by Advance Venture Partners, Sprints Capital, Pear Ventures, Sway Ventures, MassMutual Ventures, Teamworthy and ECT Capital Partners’ Brian N. Sheth. The new funding gives the company $120 million in total funding since it was founded in 2014.

Affinity, based in San Francisco, is focused on industries like investment banking, private equity, venture capital, consulting and real estate, where Zhou told TechCrunch there aren’t customer relationship management systems or networking platforms that cater to the specific needs of the long-term relationship.

Stanford grads Zhou and co-founder Shubham Goel started the company after recognizing that while there was software for transactional relationships, there wasn’t a good option for the relationship journeys.

He cites data that show up to 90% of company profiles and contact information living in traditional CRM systems are incomplete or out of date. This comes as market researcher Gartner reported the global CRM software market grew 12.6% to $69 billion in 2020.

“It is almost bigger than sales,” Zhou said. “Our worldview is that relationships are the biggest industries in the world. Some would disagree, but relationships are an asset class, they are a currency that separates the winners from the losers.”

Instead, Affinity created “a new breed of CRM,”  Zhou said, that automates the inputting of that data constantly and adds information, like revenue, staff size and funding from proprietary data sources, to assign a score to a potential opportunity and increase the chances of closing a deal.

He intends to use the new funding to expand sales, marketing and engineering to support new products and customers. The company has 125 employees currently; Zhou expects to be over 200 by next year.

To date, the company’s platform has analyzed over 18 trillion emails and 213 million calendar events and currently drives over 500,000 new introductions and tracks 450,000 deals per month. It also has more than 1,700 customers in 70 countries, boasting a list that includes Bain Capital Ventures, Kleiner Perkins, SoftBank Group, Nike, Qualcomm and Twilio.

Tyler Sosin, partner at Menlo Ventures, said he met Zhou and Goel at a time when the firm was looking into CRM companies, but it wasn’t until years later that Affinity came up again when Menlo itself wanted to work with a more modern platform.

As a user of Affinity himself, Sosin said the platform gives him the data he cares about and “removes the manual drudgery of entry and friction in the process.” Affinity also built a product that was intuitive to navigate.

“We have always had an interest in getting CRMs to the next generation, and Affinity is defining itself in a new category of relationship intelligence and just crushing it in the private capital markets,” he said. “They are scaling at an impressive growth rate and solving a hard problem that we don’t see many other companies in the space doing.”

 

We know that large data centers running powerful servers use vast amounts of electricity. Anything that can reduce consumption would be a welcome change, especially in a time of climate upheaval. That’s where the new IBM Power E1080 server, which is powered by the latest Power10 processors, comes into play.

IBM claims it can consolidate the work of 126 competitive servers down to just two E1080s, saving 80% in energy costs, by the company’s estimation. What’s more, the company says, “The new server has set a new world record in a SAP benchmark that measures performance for key SAP applications, needing only half the resources used by x86 competitive servers to beat them by 40%.”

Patrick Moorhead, founder and principal analyst at Moor Insight & Strategy, who closely follows the chip industry, says that the company’s bold claims about what these systems can achieve make sense from a hardware design perspective. “The company’s claims on SAP, Oracle and OpenShift workloads pass initial muster with me as it simply requires less sockets and physical processors to achieve the same performance. These figures were compared to Intel’s Cascade Lake that will be replaced with Sapphire Rapids (in the future),” he said.

Steve Sibley, vice president and business line executive in the Power Systems Group at IBM, says that the new server (and the Power10 chip running it) have been designed for customers looking for a combination of speed, power, efficiency and security. “If you look at what we deliver here with scale and performance, it gives customers even more agility to respond quickly to scale to their highest demands,” he said.

To give customers options, they can buy E1080 servers outright and install them in a company data center. They can buy server access as a service from the IBM cloud (and possibly competitor clouds) or they can rent the servers and install them in their data centers and pay by the minute to help mitigate the cost.

“Our systems are a little bit more expensive on what I call a base cost of acquisition standpoint, but we allow customers to actually purchase [E1080 servers] on an as-a-service basis with a by-the-minute level of granularity of what they’re paying for,” he said.

What’s more, this server, which is the first to be released based on the Power10 chip, is designed to run Red Hat software under the hood, giving the company another outlet for its 2018 $34 billion acquisition.

“Bringing Red Hat’s platform to this platform is a key way to modernize applications, both from just a RHEL (Red Hat Enterprise Linux) operating system environment, as well as OpenShift (the company’s container platform). The other place that has been key with our Red Hat acquisition and our capitalizing on it is that we’re leveraging their Ansible projects and products to drive management and automation on our platform, as well,” Sibley explained.

Since Arvind Krishna took over as CEO at IBM in April 2020, he has been trying to shift the focus of the company to hybrid computing, where some computing exists in the cloud and some on prem, which is the state many companies will find themselves in for many years to come. IBM hopes to leverage Red Hat as a management plane for a hybrid environment, while offering a variety of hardware and software tools and services.

While Red Hat continues to operate as a standalone entity inside IBM, and wants to remain a neutral company for customers, Big Blue is still trying to find ways to take advantage of its offerings whenever possible and using it to run its own systems, and the E1080 provides a key avenue for doing that.

The company says that it is taking orders for the new servers starting immediately and expects to begin shipping systems at the end of the month.

Organizations are swimming in data these days, and so solutions to help manage and use that data in more efficient ways will continue to see a lot of attention and business. In the latest development, SingleStore — which provides a platform to enterprises to help them integrate, monitor and query their data as a single entity, regardless of whether that data is stored in multiple repositories — is announcing another $80 million in funding, money that it will be using to continue investing in its platform, hiring more talent and overall business expansion. Sources close to the company tell us that the company’s valuation has grown to $940 million.

The round, a Series F, is being led by Insight Partners, with new investor Hewlett Packard Enterprise, and previous backers Khosla Ventures, Dell Technologies Capital, Rev IV, Glynn Capital and GV (formerly Google Ventures) also participating. The startup has to date raised $264 million, including most recently an $80 million Series E last December, just on the heels of rebranding from MemSQL.

The fact that there are three major strategic investors in this Series F — HPE, Dell and Google — may say something about the traction that SingleStore is seeing, but so too do its numbers: 300%+ increase in new customer acquisition for its cloud service and 150%+ year-over-year growth in cloud.

Raj Verma, SingleStore’s CEO, said in an interview that its cloud revenues have grown by 150% year over year and now account for some 40% of all revenues (up from 10% a year ago). New customer numbers, meanwhile, have grown by over 300%.

“The flywheel is now turning around,” Verma said. “We didn’t need this money. We’ve barely touched our Series E. But I think there has been a general sentiment among our board and management that we are now ready for the prime time. We think SingleStore is one of the best-kept secrets in the database market. Now we want to aggressively be an option for people looking for a platform for intensive data applications or if they want to consolidate databases to one from three, five or seven repositories. We are where the world is going: real-time insights.”

With database management and the need for more efficient and cost-effective tools to manage that becoming an ever-growing priority — one that definitely got a fillip in the last 18 months with COVID-19 pushing people into more remote working environments. That means SingleStore is not without competitors, with others in the same space, including Amazon, Microsoft, Snowflake, PostgreSQL, MySQL, Redis and more. Others like Firebolt are tackling the challenges of handing large, disparate data repositories from another angle. (Some of these, I should point out, are also partners: SingleStore works with data stored on AWS, Microsoft Azure, Google Cloud Platform and Red Hat, and Verma describes those who do compute work as “not database companies; they are using their database capabilities for consumption for cloud compute.”)

But the company has carved a place for itself with enterprises and has thousands now on its books, including GE, IEX Cloud, Go Guardian, Palo Alto Networks, EOG Resources and SiriusXM + Pandora.

“SingleStore’s first-of-a-kind cloud database is unmatched in speed, scale, and simplicity by anything in the market,” said Lonne Jaffe, managing director at Insight Partners, in a statement. “SingleStore’s differentiated technology allows customers to unify real-time transactions and analytics in a single database.” Vinod Khosla from Khosla Ventures added that “SingleStore is able to reduce data sprawl, run anywhere, and run faster with a single database, replacing legacy databases with the modern cloud.”