Personal blog of Yzmir Ramirez

Corporate gift services have come into their own during the COVID-19 pandemic by standing in as a proxy for other kinds of relationship-building activities — office meetings, lunches and hosting at events — that have traditionally been part and parcel of how people do business, but were no longer feasible during lockdowns, social distancing and offices closing their doors.

Now, Sendoso — a popular “end-to-end” gifting platform offering access to 30,000 products, including corporate swag, regular physical gifts, gift cards and more; and then providing services like logistics, packing and sending to get those gifts to the recipients — is announcing $100 million of funding to capitalize on this shift, led by a big new investor.

New backer SoftBank, via its Vision Fund 2, is leading this latest Series C round of funding. Oak HC/FT, Struck Capital, Stage 2 Capital, Craft Ventures, Signia Venture Partners and Felicis Ventures — all previous investors — are also participating.

The company has been on a strong growth trajectory for years now, but it specifically saw a surge of activity as the pandemic kicked off. It now has more than 20,000 businesses signed up and using its services, particularly for sales and marketing outreach, but also to help shore up morale among employees.

“Everyone was stuck at home by themselves, saturated with emails,” said Kris Rudeegraap, the CEO of Sendoso, in an interview. “Having a personal connection to sales prospects, employees and others just meant more.” It has now racked up some 3 million gifts sent since launching in 2016.

Sendoso is not disclosing its valuation, but Rudeegraap hinted that it was four times higher than the startup’s Series B valuation from 2020. PitchBook estimates that to be $160 million, which would make the current valuation $640 million. The company has now raised more than $150 million.

Rudeegraap said Sendoso will be using the funds in part to invest in a couple of areas. First, to hire more talent: It has 500 employees now and plans to grow that by 30% by the end of this year. And second, international expansion: It is setting up a European HQ in Dublin, Ireland to complement its main office in San Francisco.

Comcast, Kimpton Hotels, Thomson Reuters, Nasdaq and eBay are among its current customers — so this is in part to serve those customers’ global user bases, as well as to sign up new gifters. He estimated that the bigger market for corporate gifting is about $100 billion annually, so there is a lot to play for here.

The company was co-founded by Rudeegraap and Braydan Young (who is its chief alliances officer) on the back of a specific need Rudeegraap identified while working as a sales executive. Gifting is a very standard practice in the world of sales and marketing, but he was finding a lot of traction with potential and current customers by taking a personalized approach to this act.

“I was manually packing boxes, grabbing swag, coming up with handwritten notes,” he recalled. “It was inefficient, but it worked so well. So I dreamed up an idea: why not be able to click a button in Salesforce to do this automatically? Sometimes the best company is one that solves a pain point of your own.”

And this is essentially what Sendoso does. The startup’s platform integrates with a company’s existing marketing, sales and management software — Salesforce, HubSpot, SalesLoft among them — and then lets users use this to organize and order gifts through these channels, for example as part of larger sales, marketing or HR strategies. The gifts are wide-ranging, covering corporate swag, other physical presents, gift cards and more, and there are also integrations you can include to share gifting across teams of salespeople, to analyze the campaigns and more.

The Sendoso platform itself, meanwhile, positions itself as having the “marketplace selection and logistics precision of Amazon.com.” But Sendoso also believes it’s better than someone simply using Amazon.com itself since it ultimately takes a more personalized approach in how it presents the gift.

“There are a lot of things we do uniquely in terms of what we have built throughout our software, gifting options and logistics centre. We really personalize our gifts at scale with handwritten notes, special boxing, and more,” something that Amazon cannot do, he added. “We have built a lot of unique technology and logistics software that would make it hard for Amazon to compete.” He said that one of Sendoso’s integrations is actually with Amazon, so Sendoso users can order through there, but then the gift is first routed to Sendoso to be repackaged in a nicer way before being sent out.

At its heart, the startup has built a way of knitting together disparate work practices — some codified in software, and some based on human interactions and significantly more infused with randomness, emotion and ad hoc approaches — and built it all into a technology platform. The ability to scale what feels like an otherwise bespoke level of service is what has helped Sendoso gain traction not just with users, but investors, too.

“We believe Sendoso offers the most comprehensive end-to-end gifting platform in the market,” said Priya Saiprasad, a partner at SoftBank Investment Advisers. “Their platform includes a global marketplace of curated vendors, seamless integration with existing tools, global logistics, and deep analytics. As a result, Sendoso serves as the backbone to enterprises’ engagement programs with prospective customers, existing customers, employees and other key stakeholders. We’re excited to lead this Series C round to help Sendoso accelerate its vision.”

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.

Arm today announced the launch of two new platforms, Arm Neoverse V1 and Neoverse N2, as well as a new mesh interconnect for them. As you can tell from the name, V1 is a completely new product and maybe the best example yet of Arm’s ambitions in the data center, high-performance computing and machine learning space. N2 is Arm’s next-generation general compute platform that is meant to span use cases from hyperscale clouds to SmartNICs and running edge workloads. It’s also the first design based on the company’s new Armv9 architecture.

Not too long ago, high-performance computing was dominated by a small number of players, but the Arm ecosystem has scored its fair share of wins here recently, with supercomputers in South Korea, India and France betting on it. The promise of V1 is that it will vastly outperform the older N1 platform, with a 2x gain in floating-point performance, for example, and a 4x gain in machine learning performance.

Image Credits: Arm

“The V1 is about how much performance can we bring — and that was the goal,” Chris Bergey, SVP and GM of Arm’s Infrastructure Line of Business, told me. He also noted that the V1 is Arm’s widest architecture yet. He noted that while V1 wasn’t specifically built for the HPC market, it was definitely a target market. And while the current Neoverse V1 platform isn’t based on the new Armv9 architecture yet, the next generation will be.

N2, on the other hand, is all about getting the most performance per watt, Bergey stressed. “This is really about staying in that same performance-per-watt-type envelope that we have within N1 but bringing more performance,” he said. In Arm’s testing, NGINX saw a 1.3x performance increase versus the previous generation, for example.

Image Credits: Arm

In many ways, today’s release is also a chance for Arm to highlight its recent customer wins. AWS Graviton2 is obviously doing quite well, but Oracle is also betting on Ampere’s Arm-based Altra CPUs for its cloud infrastructure.

“We believe Arm is going to be everywhere — from edge to the cloud. We are seeing N1-based processors deliver consistent performance, scalability and security that customers want from Cloud infrastructure,” said Bev Crair, senior VP, Oracle Cloud Infrastructure Compute. “Partnering with Ampere Computing and leading ISVs, Oracle is making Arm server-side development a first-class, easy and cost-effective solution.”

Meanwhile, Alibaba Cloud and Tencent are both investing in Arm-based hardware for their cloud services as well, while Marvell will use the Neoverse V2 architecture for its OCTEON networking solutions.

Cybereason, which uses machine learning to increase the number of endpoints a single analyst can manage across a network of distributed resources, has raised $200 million in new financing from SoftBank Group and its affiliates. 

It’s a sign of the belief that SoftBank has in the technology, since the Japanese investment firm is basically doubling down on commitments it made to the Boston-based company four years ago.

The company first came to our attention five years ago when it raised a $25 million financing from investors, including CRV, Spark Capital and Lockheed Martin.

Cybereason’s technology processes and analyzes data in real time across an organization’s daily operations and relationships. It looks for anomalies in behavior across nodes on networks and uses those anomalies to flag suspicious activity.

The company also provides reporting tools to inform customers of the root cause, the timeline, the person involved in the breach or breaches, which tools they use and what information was being disseminated within and outside of the organization.

For co-founder Lior Div, Cybereason’s work is the continuation of the six years of training and service he spent working with the Israeli army’s 8200 Unit, the military incubator for half of the security startups pitching their wares today. After his time in the military, Div worked for the Israeli government as a private contractor reverse-engineering hacking operations.

Over the last two years, Cybereason has expanded the scope of its service to a network that spans 6 million endpoints tracked by 500 employees, with offices in Boston, Tel Aviv, Tokyo and London.

“Cybereason’s big data analytics approach to mitigating cyber risk has fueled explosive expansion at the leading edge of the EDR domain, disrupting the EPP market. We are leading the wave, becoming the world’s most reliable and effective endpoint prevention and detection solution because of our technology, our people and our partners,” said Div, in a statement. “We help all security teams prevent more attacks, sooner, in ways that enable understanding and taking decisive action faster.”

The company said it will use the new funding to accelerate its sales and marketing efforts across all geographies and push further ahead with research and development to make more of its security operations autonomous.

“Today, there is a shortage of more than three million level 1-3 analysts,” said Yonatan Striem-Amit, chief technology officer and co-founder, Cybereason, in a statement. “The new autonomous SOC enables SOC teams of the future to harness technology where manual work is being relied on today and it will elevate  L1 analysts to spend time on higher value tasks and accelerate the advanced analysis L3 analysts do.”

Most recently the company was behind the discovery of Operation SoftCell, the largest nation-state cyber espionage attack on telecommunications companies. 

That attack, which was either conducted by Chinese-backed actors or made to look like it was conducted by Chinese-backed actors, according to Cybereason, targeted a select group of users in an effort to acquire cell phone records.

As we wrote at the time:

… hackers have systematically broken in to more than 10 cell networks around the world to date over the past seven years to obtain massive amounts of call records — including times and dates of calls, and their cell-based locations — on at least 20 individuals.

Researchers at Boston-based Cybereason, who discovered the operation and shared their findings with TechCrunch, said the hackers could track the physical location of any customer of the hacked telcos — including spies and politicians — using the call records.

Lior Div, Cybereason’s co-founder and chief executive, told TechCrunch it’s “massive-scale” espionage.

Call detail records — or CDRs — are the crown jewels of any intelligence agency’s collection efforts. These call records are highly detailed metadata logs generated by a phone provider to connect calls and messages from one person to another. Although they don’t include the recordings of calls or the contents of messages, they can offer detailed insight into a person’s life. The National Security Agency  has for years controversially collected the call records of Americans from cell providers like AT&T and Verizon (which owns TechCrunch), despite the questionable legality.

It’s not the first time that Cybereason has uncovered major security threats.

Back when it had just raised capital from CRV and Spark, Cybereason’s chief executive was touting its work with a defense contractor who’d been hacked. Again, the suspected culprit was the Chinese government.

As we reported, during one of the early product demos for a private defense contractor, Cybereason identified a full-blown attack by the Chinese — 10,000 thousand usernames and passwords were leaked, and the attackers had access to nearly half of the organization on a daily basis.

The security breach was too sensitive to be shared with the press, but Div says that the FBI was involved and that the company had no indication that they were being hacked until Cybereason detected it.

Slack, the ubiquitous workplace messaging tool, will make its pitch to prospective shareholders on Monday at an invite-only event in New York City, the company confirmed in a blog post on Wednesday. Slack stock is expected to begin trading on the New York Stock Exchange as soon as next month.

Slack, which is pursuing a direct listing, will live stream Monday’s Investor Day on its website.

An alternative to an initial public offering, direct listings allow businesses to forgo issuing new shares and instead sell directly to the market existing shares held by insiders, employees and investors. Slack, like Spotify, has been able to bypass the traditional roadshow process expected of an IPO-ready business, as well as some of the exorbitant Wall Street fees.

Spotify, if you remember, similarly live streamed an event that is typically for investors eyes only. If Slack’s event is anything like the music streaming giant’s, Slack co-founder and chief executive officer Stewart Butterfield will speak to the company’s greater mission alongside several other executives.

Slack unveiled documents for a public listing two weeks ago. In its SEC filing, the company disclosed a net loss of $138.9 million and revenue of $400.6 million in the fiscal year ending January 31, 2019. That’s compared to a loss of $140.1 million on revenue of $220.5 million for the year before.

Additionally, the company said it reached 10 million daily active users earlier this year across more than 600,000 organizations.

San Jose-based Cohesity has closed an oversubscribed $250M Series D funding round led by SoftBank’s Vision Fund, bringing its total raised to date to $410M. The enterprise software company offers a hyperconverged data platform for storing and managing all the secondary data created outside of production apps.

In a press release today it notes this is only the second time SoftBank’s gigantic Vision Fund has invested in an enterprise software company. The fund, which is almost $100BN in size — without factoring in all the planned sequels, also led an investment in enterprise messaging company Slack back in September 2017 (also a $250M round).

“Cohesity pioneered hyperconverged secondary storage as a first stepping stone on the path to a much larger transformation of enterprise infrastructure spanning public and private clouds. We believe that Cohesity’s web-scale Google-like approach, cloud-native architecture, and incredible simplicity is changing the business of IT in a fundamental way,” said Deep Nishar, senior managing partner at SoftBank Investment Advisers, in a supporting statement.

Also participating in the financing are Cohesity’s existing strategic investors Cisco Investments, Hewlett Packard Enterprise (HPE), and Morgan Stanley Expansion Capital, along with early investor Sequoia Capital and others.

The company says the investment will be put towards “large-scale global expansion” by selling more enterprises on the claimed cost and operational savings from consolidating multiple separate point solutions onto its hyperconverged platform. On the customer acquisition front it flags up support from its strategic investors, Cisco and HPE, to help it reach more enterprises.

Cohesity says it’s onboarded more than 200 new enterprise customers in the last two quarters — including Air Bud Entertainment, AutoNation, BC Oil and Gas Commission, Bungie, Harris Teeter, Hyatt, Kelly Services, LendingClub, Piedmont Healthcare, Schneider Electric, the San Francisco Giants, TCF Bank, the U.S. Department of Energy, the U.S. Air Force, and WestLotto — and says annual revenues grew 600% between 2016 and 2017.

In another supporting statement, CEO and founder Mohit Aron, added: “My vision has always been to provide enterprises with cloud-like simplicity for their many fragmented applications and data — backup, test and development, analytics, and more.

“Cohesity has built significant momentum and market share during the last 12 months and we are just getting started.”