Personal blog of Yzmir Ramirez

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that show up to 90% of company profiles and contact information living in traditional CRM systems are incomplete or out of date.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.

Affinity people profile. Image Credits: Affinity

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.”

As artificial intelligence continues to weave its way into more enterprise applications, a startup that has built a platform to help businesses, especially non-tech organizations, build more customized AI decision-making tools for themselves has picked up some significant growth funding. Peak AI, a startup out of Manchester, England, that has built a “decision intelligence” platform, has raised $75 million, money that it will be using to continue building out its platform, expand into new markets and hire some 200 new people in the coming quarters.

The Series C is bringing a very big name investor on board. It is being led by SoftBank Vision Fund 2, with previous backers Oxx, MMC Ventures, Praetura Ventures and Arete also participating. That group participated in Peak’s Series B of $21 million, which only closed in February of this year. The company has now raised $119 million; it is not disclosing its valuation.

(This latest funding round was rumored last week, although it was not confirmed at the time and the total amount was not accurate.)

Richard Potter, Peak’s CEO, said the rapid follow-on in funding was based on inbound interest, in part because of how the company has been doing.

Peak’s so-called Decision Intelligence platform is used by retailers, brands, manufacturers and others to help monitor stock levels and build personalized customer experiences, as well as other processes that can stand to have some degree of automation to work more efficiently, but also require sophistication to be able to measure different factors against each other to provide more intelligent insights. Its current customer list includes the likes of Nike, Pepsico, KFC, Molson Coors, Marshalls, Asos and Speedy, and in the last 12 months revenues have more than doubled.

The opportunity that Peak is addressing goes a little like this: AI has become a cornerstone of many of the most advanced IT applications and business processes of our time, but if you are an organization — and specifically one not built around technology — your access to AI and how you might use it will come by way of applications built by others, not necessarily tailored to you, and the costs of building more tailored solutions can often be prohibitively high. Peak claims that those using its tools have seen revenues on average rise 5%, return on ad spend double, supply chain costs reduce by 5% and inventory holdings (a big cost for companies) reduce by 12%.

Peak’s platform, I should point out, is not exactly a “no-code” approach to solving that problem — not yet at least: It’s aimed at data scientists and engineers at those organizations so that they can easily identify different processes in their operations where they might benefit from AI tools, and to build those out with relatively little heavy lifting.

There have also been different market factors that have played a role. COVID-19, for example, and the boost that we have seen both in increasing “digital transformation” in businesses and making e-commerce processes more efficient to cater to rising consumer demand and more strained supply chains have all led to businesses being more open and keen to invest in more tools to improve their automation intelligently.

This, combined with Peak AI’s growing revenues, is part of what interested SoftBank. The investor has been long on AI for a while; but it also has been building out a section of its investment portfolio to provide strategic services to the kinds of businesses in which it invests.

Those include e-commerce and other consumer-facing businesses, which make up one of the main segments of Peak’s customer base.

Notably, one of its recent investments specifically in that space was made earlier this year, also in Manchester, when it took a $730 million stake (with potentially $1.6 billion more down the line) in The Hut Group, which builds software for and runs D2C businesses.

“In Peak we have a partner with a shared vision that the future enterprise will run on a centralized AI software platform capable of optimizing entire value chains,” Max Ohrstrand, senior investor for SoftBank Investment Advisers, said in a statement. “To realize this a new breed of platform is needed and we’re hugely impressed with what Richard and the excellent team have built at Peak. We’re delighted to be supporting them on their way to becoming the category-defining, global leader in Decision Intelligence.”

It’s not clear that SoftBank’s two Manchester interests will be working together, but it’s an interesting synergy if they do, and most of all highlights one of the firm’s areas of interest.

Longer term, it will be interesting to see how and if Peak evolves to extend its platform to a wider set of users at the organizations that are already its customers.

Potter said he believes that “those with technical predispositions” will be the most likely users of its products in the near and medium term. You might assume that would cut out, for example, marketing managers, although the general trend in a lot of software tools has precisely been to build versions of the same tools used by data scientists for these less technical people to engage in the process of building what it is that they want to use.

“I do think it’s important to democratize the ability to stream data pipelines, and to be able to optimize those to work in applications,” Potter added.

Contentful, a Berlin- and San Francisco-based startup that provides content management infrastructure for companies like Spotify, Nike, Lyft and others, today announced that it has raised a $33.5 million Series D funding round led by Sapphire Ventures, with participation from OMERS Ventures and Salesforce Ventures, as well as existing investors General Catalyst, Benchmark, Balderton Capital and Hercules. In total, the company has now raised $78.3 million.

It’s been less than a year since the company raised its Series C round and, as Contentful co-founder and CEO Sascha Konietzke told me, the company didn’t really need to raise right now. “We had just raised our last round about a year ago. We still had plenty of cash in our bank account and we didn’t need to raise as of now,” said Konietzke. “But we saw a lot of economic uncertainty, so we thought it might be a good moment in time to recharge. And at the same time, we already had some interesting conversations ongoing with Sapphire [formerly SAP Ventures] and Salesforce. So we saw the opportunity to add more funding and also start getting into a tight relationship with both of these players.”

The original plan for Contentful was to focus almost explicitly on mobile. As it turns out, though, the company’s customers also wanted to use the service to handle its web-based applications and these days, Contentful happily supports both. “What we’re seeing is that everything is becoming an application,” he told me. “We started with native mobile application, but even the websites nowadays are often an application.”

In its early days, Contentful focused only on developers. Now, however, that’s changing, and having these connections to large enterprise players like SAP and Salesforce surely isn’t going to hurt the company as it looks to bring on larger enterprise accounts.

Currently, the company’s focus is very much on Europe and North America, which account for about 80 percent of its customers. For now, Contentful plans to continue to focus on these regions, though it obviously supports customers anywhere in the world.

Contentful only exists as a hosted platform. As of now, the company doesn’t have any plans for offering a self-hosted version, though Konietzke noted that he does occasionally get requests for this.

What the company is planning to do in the near future, though, is to enable more integrations with existing enterprise tools. “Customers are asking for deeper integrations into their enterprise stack,” Konietzke said. “And that’s what we’re beginning to focus on and where we’re building a lot of capabilities around that.” In addition, support for GraphQL and an expanded rich text editing experience is coming up. The company also recently launched a new editing experience.