B2B
Auto Added by WPeMatico
Japan’s B2B ordering and supply platform CADDi raises $73 million Series B funding
With COVID-19 disrupting the entire manufacturing supply chain including semiconductor shortages, companies across multiple industries have been struggling to seek a procurement solution that can rebalance the gap between supply and demand.
CADDi, a Tokyo-based B2B ordering and supply platform in the manufacturing and procurement industry, helps both procurement (demand side) and manufacturing facilities (supply side) by aggregating and rebalancing supply and demand via its automated calculation system for manufacturing costs and databases of fabrication facilities across Japan.
The company announced this morning a $73 million Series B round co-led by Globis Capital Partners and World Innovation Lab (WiL), with participation from existing investors DCM and Global Brain. Six new investors also have joined the round including Arena Holdings, DST Global, Minerva Growth Partners, Tybourne Capital Management, JAFCO Group and SBI Investment.
CADDi was founded by CEO Yushiro Kato and CTO Aki Kobashi in November 2017.
The post-money valuation is estimated at $450 million, according to sources close to the deal.
The new funding brings CADDi’s total raised so far to $90.5 million. In December 2018, the company closed a $9 million Series A round led by DCM and followed by Globis Capital Partners and WiL and Global Brain.
The funding proceeds will be used for accelerating digital transformation of the platform, hiring and expanding to global markets.
“We enable integrated production of complete sets of equipment consisting of custom-made parts such as sheet metal, machined parts and structural frames. Using an automatic quotation system based on a proprietary cost calculation algorithm, we select the processing company that best matches the quality, delivery date and price of the order and build an optimal supply chain,” CEO and co-founder Yushiro Kato said.
The goal of CADDi’s ordering platform is to transform the manufacturing industry from a multiple subcontractor pyramid structure to a flat, connected structure based on each manufacturers’ individual strengths, thus creating a world where those on the front lines of manufacturing can spend more time on essential and creative work, Kato said.
CADDi’s ordering platform, backed by its unique technology including automatic cost calculation system, optimal ordering and production management system, and drawing management system, offers a 10%-15% cost reduction, stable capacity and balanced order placement to its more than 600 Japanese supply partners spanning a multitude of industries.
“The demand for CADDi’s services has seen significant acceleration. Our business has been growing very fast, and our latest orders have grown more than six times compared to the previous year, leading to the company’s expanded presence into both eastern and western Japan in order to meet this increase in demand,” Kato said.
“Going forward, in addition to continuously expanding our ordering platform, we will also start to provide purchases (manufacturers) and supply partners with our technology directly to promote digital transformation of their operations, for example, the production management system and drawing management system,” Kato continued.
“As a start point, in the near future, we are thinking about selling ‘Drawing Management SaaS,’” which has been used internally for CADDi’s ordering operation, to help customers solve operational pains in handling piles of drawings. “Our ‘Drawing Management SaaS’ technology will not only help manage drawings as documents properly but also allow utilization of data of drawings in a practical way for future decision-making and action in their procurement process.”
CADDi’s next axis of growth will be other growing markets, especially in Southeast Asia, Kato pointed out. “Many of our Japanese customers have subsidiaries and branches in these countries, so it’s a natural expansion opportunity for us to strengthen our value proposition and provide more continuity and seamless service to our customers,” Kato added.
Kato also said it wants to continue investing in hiring, especially engineers, to further the development of its platform CADDi and new business. It plans to hire 1,000 employees in the next three years. CADDi had 102 employees as of March 2021.
The company aims to become a global platform with sales of USD 9.1 billion (that is 1 trillion YEN) by 2030, Kato said.
COVID-19 had a different impact on different industries in the procurement and manufacturing sector, with “the automobile and machine tool industries were negatively affected by the pandemic and experienced an up to 90% temporary drop in sales, while other industries such as the medical and semiconductor industries have experienced explosive growth in demand. The overall result of COVID-19 is that the company has captured more demand because CADDi’s system rebalances receipts across multiple industries,” according to Kato.
Masaya Kubota, partner at World Innovation Lab, told TechCrunch, “CADDi’s solution of aggregating and rebalancing supply and demand has once again proven to be indispensable to both purchasers and manufacturers, with the pandemic disrupting the entire supply chain in manufacturing. We first invested in CADDi in 2018, because we strongly believed in their mission of digitally transforming one of the most analog industries, the $1 trillion procurement market.”
Another investor principal at DCM, Kenichiro Hara, also said in an email interview with TechCrunch, “The pandemic made the manufacturing industry’s supply chain vulnerabilities quite clear early on. For example, if a country is on lockdown or a factory stalls the operations, their customers cannot procure necessary parts to produce their products. This impact amplifies, and the entire supply chain is affected. Therefore, the demand for finding new, available and accessible suppliers in a timely manner increased in importance, which is CADDi’s primary value-add.”
Powered by WPeMatico
Enterprise AI 2.0: The acceleration of B2B AI innovation has begun
Two decades after businesses first started deploying AI solutions, one can argue that they’ve made little progress in achieving significant gains in efficiency and profitability relative to the hype that drove initial expectations.
On the surface, recent data supports AI skeptics. Almost 90% of data science projects never make it to production; only 20% of analytics insights through 2022 will achieve business outcomes; and even companies that have developed an enterprisewide AI strategy are seeing failure rates of up to 50%.
But the past 25 years have only been the first phase in the evolution of enterprise AI — or what we might call Enterprise AI 1.0. That’s where many businesses remain today. However, companies on the leading edge of AI innovation have advanced to the next generation, which will define the coming decade of big data, analytics and automation — Enterprise AI 2.0.
The difference between these two generations of enterprise AI is not academic. For executives across the business spectrum — from healthcare and retail to media and finance — the evolution from 1.0 to 2.0 is a chance to learn and adapt from past failures, create concrete expectations for future uses and justify the rising investment in AI that we see across industries.
Two decades from now, when business leaders look back to the 2020s, the companies who achieved Enterprise AI 2.0 first will have come to be big winners in the economy, having differentiated their services, scooped up market share and positioned themselves for ongoing innovation.
Framing the digital transformations of the future as an evolution from Enterprise AI 1.0 to 2.0 provides a conceptual model for business leaders developing strategies to compete in the age of automation and advanced analytics.
Enterprise AI 1.0 (the status quo)
Starting in the mid-1990s, AI was a sector marked by speculative testing, experimental interest and exploration. These activities occurred almost exclusively in the domain of data scientists. As Gartner wrote in a recent report, these efforts were “alchemy … run by wizards whose talents will not scale in the organization.”
Powered by WPeMatico
Slintel scores $20M Series A as buyer intelligence tool gains traction
One clear outcome of the pandemic was that it pushed more people to do their shopping online, and that was as true for B2B as it was for B2C. Knowing which of your B2B customers are most likely to convert puts any sales team ahead of the game. Slintel, a startup providing that kind of data, announced a $20 million Series A today.
The company has attracted some big-name investors, with GGV leading the round and Accel, Sequoia and Stellaris also participating. The investment brings the total raised to over $24 million, including a $4.2 million seed round from last November.
That’s a quick turnaround from seed to A, and company founder and CEO Deepak Anchala says that while he had plenty of runway left from the seed round, the demand was such that it seemed prudent to take the A money sooner than he had planned. “So we had enough cash in the bank, but investors came to us and we got a pretty good valuation compared to the previous round, so we decided to take it and use that money to go faster,” Anchala said.
Certainly the market dynamics were working in Slintel’s favor. Without giving revenue details, Anchala said that revenue grew 5x last year in the middle of the worst of the pandemic. He says that meant buyers were spending less time with sales and marketing folks to understand products and more time online researching on their own.
“So what Slintel does as a product is we mine buyer insights. We understand where the buyers are in their journey, what their pain points are, what products they use, what they need and when they need it. So we understand all of this to create a 360-degree view of the buyer that you provide these insights to sales and marketing teams to help them sell better,” he said.
After growing at such a rapid clip last year, the company expected more modest growth this year at perhaps 3x, but with the added investment, he expects to grow faster again. “With the funding we’re actually looking at much bigger numbers. We’re looking at 5x in our revenue this year, and also trying for 4x revenue next year.”
He says that the money gives him the opportunity to improve the product and put more investment into marketing, which he believes will contribute to additional sales. Since the round closed six weeks ago, he says that he has increased his advertising budget and also hopes to attract customers via SEO, free tools on the company website and events.
The company had 45 employees at the time of its seed round in November and has more than doubled that number in the interim, to 100 spread out across 10 cities. He expects to double again by this time next year as the company is growing quickly. As a global company with some employees in India and some in the U.S., he intends to be remote-first even after offices begin to reopen in different areas. He says that he plans to have company gatherings each quarter to let people gather in person on occasion.
Powered by WPeMatico
Billion-dollar B2B: cloud-first enterprise tech behemoths have massive potential
More than half a decade ago, my Battery Ventures partner Neeraj Agrawal penned a widely read post offering advice for enterprise-software companies hoping to reach $100 million in annual recurring revenue.
His playbook, dubbed “T2D3” — for “triple, triple, double, double, double,” referring to the stages at which a software company’s revenue should multiply — helped many high-growth startups index their growth. It also highlighted the broader explosion in industry value creation stemming from the transition of on-premise software to the cloud.
Fast forward to today, and many of T2D3’s insights are still relevant. But now it’s time to update T2D3 to account for some of the tectonic changes shaping a broader universe of B2B tech — and pushing companies to grow at rates we’ve never seen before.
One of the biggest factors driving billion-dollar B2Bs is a simple but important shift in how organizations buy enterprise technology today.
I call this new paradigm “billion-dollar B2B.” It refers to the forces shaping a new class of cloud-first, enterprise-tech behemoths with the potential to reach $1 billion in ARR — and achieve market capitalizations in excess of $50 billion or even $100 billion.
In the past several years, we’ve seen a pioneering group of B2B standouts — Twilio, Shopify, Atlassian, Okta, Coupa*, MongoDB and Zscaler, for example — approach or exceed the $1 billion revenue mark and see their market capitalizations surge 10 times or more from their IPOs to the present day (as of March 31), according to CapIQ data.
More recently, iconic companies like data giant Snowflake and video-conferencing mainstay Zoom came out of the IPO gate at even higher valuations. Zoom, with 2020 revenue of just under $883 million, is now worth close to $100 billion, per CapIQ data.
Image Credits: Battery Ventures via FactSet. Note that market data is current as of April 3, 2021.
In the wings are other B2B super-unicorns like Databricks* and UiPath, which have each raised private financing rounds at valuations of more than $20 billion, per public reports, which is unprecedented in the software industry.
Powered by WPeMatico
How to convert customers with subscription pricing
The lure of subscription pricing is the guarantee of recurring revenue for your business. Once a customer flips the switch to turn on your subscription, it’s easy money:
- Easy to recognize your revenue.
- Easy to determine your margins and profits.
- Easy to enhance your product and extend that revenue out for months, even years.
While that’s true, converting a subscription customer isn’t as simple as flipping a switch. You can build a platform, launch with fanfare, offer all sorts of incentives and trials to attract potential customers — and watch as they disengage and lapse into limbo.
Contrary to popular belief, subscription pricing doesn’t work because of the lower price point that a monthly installment allows.
That’s the actual guarantee that comes with subscription pricing, which will happen unless you cultivate a funnel that catches potential subscribers as soon as they learn about your product and follows them until their very last sign-in.
I built my first subscription-model product in 1999. I’m currently in early-access on my latest, and I’ve launched a bunch more along the way.
While the customer dynamic has changed over the last 20 years, the conversion process has not. In fact, it’s actually gotten easier to convert and retain customers through the subscription funnel.
Here’s what I’ve learned.
Why subscription pricing works
Subscription pricing is a hot trend in just about every business in every industry. Pay-as-you-go is the new normal from software to retail to service.
In my mind, the major shift occurred when mobile phones started pricing unlimited usage per period instead of fixed or cost per minute. Once usage limits were removed, use cases exploded and the promise of a truly mobile computer was finally realized.
Makers of all stripes learned that lesson: From razors to video streaming to accounting software, pricing models have emerged that focus on time periods instead of units.
But contrary to popular belief, subscription pricing doesn’t work because of the lower price point that a monthly installment allows. It’s effective because a subscription reorients each customer’s mind from product function to value proposition.
I don’t care what kind of German engineering went into my razor blades, as long as I have working blades when I need them.
As an entrepreneur, you probably use at least one digital subscription service to build your own product and company, if not several. In fact, just to get to the MVP of my new project, I subscribed to AWS, MailChimp, Zapier and Bubble. I’m still on the free tier of a few more services for some lower-priority features. There’s a few more I quit or never tried.
Thus, you know that value prop plays a big part of whether the customer will pay and stay. So reinforcing your value proposition should play a big part in every level of your customer funnel.
You must catch and track customers to be effective
A subscription-pricing model without an ability to track the steps in the conversion funnel will result in all the headaches of subscription pricing without any of the benefits.
Powered by WPeMatico
Extra Crunch’s top 10 stories of 2020
I edited hundreds of stories in 2020, so choosing my favorites would be an exercise in futility.
Instead, I’ve tried to gather a sample of Extra Crunch stories that taught me something new. (Which means this top 10 list betrays my ignorance, a humbling admission for a know-it-all like myself.)
While narrowing down the field of candidates, I realized that we’re covering each of the topics on this list in greater depth next year. We already have stories in the works about no-code software, the emergence of edtech, proptech and B2B marketplaces, to name just a few.
Some readers are skeptical about paywalls, but without being boastful, Extra Crunch is a premium product, just like Netflix or Disney+. I know: We’re not as entertaining as a historical drama about the reign of Queen Elizabeth II or a space western about a bounty hunter.
But, speaking as someone who’s worked at several startups, Extra Crunch stories contain actionable information you can use to build a company and/or look smart in meetings — and that’s worth something.
Thanks for reading, and I hope you have a very happy new year.
Full Extra Crunch articles are only available to members
Use discount code ECFriday to save 20% off a one- or two-year subscription
1. The VCs who founders love the most
Image Credits: Bryce Durbin/TechCrunch
Managing Editor Danny Crichton spearheaded the development of The TechCrunch List earlier this year to help seed-stage founders connect with VCs who write first checks.
The TechCrunch List has no paywall and contains details and recommendations about more than 400 investors across 22 verticals. Once it launched, Danny crunched the data to pick out 11 investors for which “founders were particularly effusive in their praise.”
2. API startups are so hot right now
Image Credits: Juana Mari Moya(opens in a new window)/Getty Images (Image has been modified)
Alex Wilhelm uses his weekday column The Exchange to keep a close eye on “private companies, public markets and the gray space in between,” but one effort stood out: An overview of six API-based startups that were “raising capital in rapid-fire fashion” when many companies were trying to find their COVID-19 footing.
For me, this was particularly interesting because it helped me better understand that an optimal pricing structure can be key to a SaaS company’s initial success.
3. ‘No code’ will define the next generation of software
4. Tracking the growth of low-code/no-code startups
Image Credits: Richard Drury(opens in a new window)/Getty Images
Two stories about the advent of no-code/low-code software that we ran in July take the third and fourth position on this list.
I have been a no-code user for some time: Using Zapier to send automated invitations via Slack for group lunches was a real time-saver in the pre-pandemic days.
“Enterprise expenditure on custom software is on track to double from $250 billion in 2015 to $500 billion in 2020,” so we’ll definitely be diving deeper into this topic in the coming months.
5. ‘Edtech is no longer optional’: Investors’ deep dive into the future of the market
Image Credits: PM Images(opens in a new window)/Getty Images
Natasha Mascarenhas picked up TechCrunch’s edtech beat when she joined us just before the pandemic. Twelve months later, she’s an expert on the topic.
In July, she surveyed six edtech investors to “get into the macro-impact of rapid change on edtech as a whole.”
- Ian Chiu, Owl Ventures
- Shauntel Garvey and Jennifer Carolan, Reach Capital
- Jan Lynn-Matern, Emerge Education
- David Eichler, TCV
- Jomayra Hererra, Cowboy Ventures
6. B2B marketplaces will be the next billion-dollar e-commerce startups
Image Credits: Kmatta(opens in a new window)/Getty Images
In 2018, B2B marketplaces saw an estimated $680 billion in sales, but that figure is expected to reach $3.6 trillion by 2024.
As companies shifted their purchasing online, these platforms are adding a range of complementary services like payment management, targeted advertising and logistics while also hardening their infrastructure.
7. Facebook’s former PR chief explains why no one is paying attention to your startup
Caryn Marooney, right, vice president of technology communications at Facebook, poses for a picture on the red carpet for the 6th annual 2018 Breakthrough Prizes at Moffett Federal Airfield, Hangar One in Mountain View, Calif., on Sunday, Dec. 3, 2017. Image Credits: Nhat V. Meyer/Bay Area News Group
Reporter Lucas Matney spoke to Caryn Marooney in August at TechCrunch Early Stage about how startup founders who hope to expand their reach need to do a better job of connecting with journalists.
“People just fundamentally aren’t walking around caring about this new startup,” she said. “Actually, nobody does.”
Speaking as someone who’s been on both sides of this equation, I most appreciated her advice about focusing on “simplicity and staying consistent” when it comes to messaging.
“Don’t let the complexity of your intellect cloud what needs to be simple,” she said.
8. You need a minimum viable company, not a minimum viable product
Image Credits: alvarez(opens in a new window)/Getty Images
In a guest post for Extra Crunch, seed-stage VC Ann Miura-Ko shared some of what she’s learned about “the magic of product-market fit,” which she termed “the defining quality of an early-stage startup.”
According to Miura-Ko, a co-founding partner at Floodgate, startups can only reach this stage when their business model, value propositions and ecosystem are in balance.
Using lessons learned from her portfolio companies like Lyft, Refinery29 and Twitch, this article should be required reading for every founder. As one commenter posted, “I read this thinking, ‘I need to add some slides to my deck!’”
9. 6 investment trends that could emerge from the COVID-19 pandemic
10 January 2020, Berlin: Doctor Olaf Göing, chief physician of the clinic for internal medicine at the Sana Klinikum Lichtenberg, tests mixed-reality 3D glasses for use in cardiology. They can thus access their patients’ medical data and visualize the finest structures for diagnostics and operation planning by hand and speech. The Sana Clinic is, according to its own statements, the first hospital in the world to use this novel technology in cardiology. Image Credits: Jens Kalaene/picture alliance via Getty Images
During “the early innings of this period of uncertainty,” an article we published offered several predictions about investor behavior in the U.S.
Although we posted this in April, each of these forecasts seem spot-on:
- Future of work: promoting intimacy and trust.
- Healthcare IT: telemedicine and remote patient monitoring.
- Robotics and supply chain.
- Cybersecurity.
- Education = knowledge transfer + social + signaling.
- Fintech.
10. Construction tech startups are poised to shake up a $1.3-trillion-dollar industry
Image Credits: Steve Proehl(opens in a new window)/Getty Images
I’ve always found the concept of total addressable market (TAM) hard to embrace fully — the arrival of a single disruptive company could change an industry’s TAM in a week.
However, several factors are combining to transform the construction industry: high fragmentation, poor communication, a skilled labor shortage and a lack of data transparency.
Startups that help builders manage aspects like pre-construction, workflow and site visualization are making huge strides, but because “construction firms spend less than 2% of annual sales volume on IT,” the size of this TAM is not at all speculative.
11. Don’t let VCs be the gatekeepers of your success
Image Credits: PM Images(opens in a new window)/Getty Images
As a bonus, I’m including a TechCrunch op-ed written by insurtech founder Kevin Henderson that describes the myriad challenges he has faced as a Black entrepreneur in Silicon Valley.
Some of the discussions about the lack of diversity in tech can feel abstract, but his post describes its concrete consequences. For starters: he’s never had an opportunity to pitch at a VC firm where there was another Black person in the room.
“Black founders have a better chance playing pro sports than they do landing venture investments,” says Henderson.
Powered by WPeMatico
3 ways the pandemic is transforming tech spending
Ever since the pandemic hit the U.S. in full force last March, the B2B tech community keeps asking the same questions: Are businesses spending more on technology? What’s the money getting spent on? Is the sales cycle faster? What trends will likely carry into 2021?
Recently we decided to join forces to answer these questions. We analyzed data from the just-released Q4 2020 Outlook of the Coupa Business Spend Index (BSI), a leading indicator of economic growth, in light of hundreds of conversations we have had with business-tech buyers this year.
A former Battery Ventures portfolio company, Coupa* is a business spend-management company that has cumulatively processed more than $2 trillion in business spending. This perspective gives Coupa unique, real-time insights into tech spending trends across multiple industries.
Tech spending is continuing despite the economic recession — which helps explain why many startups are raising large rounds and even tapping public markets for capital.
Broadly speaking, tech spending is continuing despite the economic recession — which helps explain why many tech startups are raising large financing rounds and even tapping the public markets for capital. Here are our three specific takeaways on current tech spending:
Spending is shifting away from remote collaboration to SaaS and cloud computing
Tech spending ranks among the hottest boardroom topics today. Decisions that used to be confined to the CIO’s organization are now operationally and strategically critical to the CEO. Multiple reasons drive this shift, but the pandemic has forced businesses to operate and engage with customers differently, almost overnight. Boards recognize that companies must change their business models and operations if they don’t want to become obsolete. The question on everyone’s mind is no longer “what are our technology investments?” but rather, “how fast can they happen?”
Spending on WFH/remote collaboration tools has largely run its course in the first wave of adaptation forced by the pandemic. Now we’re seeing a second wave of tech spending, in which enterprises adopt technology to make operations easier and simply keep their doors open.
SaaS solutions are replacing unsustainable manual processes. Consider Rhode Island’s decision to shift from in-person citizen surveying to using SurveyMonkey. Many companies are shifting their vendor payments to digital payments, ditching paper checks entirely. Utility provider PG&E is accelerating its digital transformation roadmap from five years to two years.
The second wave of adaptation has also pushed many companies to embrace the cloud, as this chart makes clear:
Image Credits: Battery Ventures (opens in a new window)
Similarly, the difficulty of maintaining a traditional data center during a pandemic has pushed many companies to finally shift to cloud infrastructure under COVID. As they migrate that workload to the cloud, the pie is still expanding. Goldman Sachs and Battery Ventures data suggest $600 billion worth of disruption potential will bleed into 2021 and beyond.
In addition to SaaS and cloud adoption, companies across sectors are spending on technologies to reduce their reliance on humans. For instance, Tyson Foods is investing in and accelerating the adoption of automated technology to process poultry, pork and beef.
All companies are digital product companies now
Mention “digital product company” in the past, and we’d all think of Netflix. But now every company has to reimagine itself as offering digital products in a meaningful way.
Powered by WPeMatico
DataFleets keeps private data useful and useful data private with federated learning and $4.5M seed
As you may already know, there’s a lot of data out there, and some of it could actually be pretty useful. But privacy and security considerations often put strict limitations on how it can be used or analyzed. DataFleets promises a new approach by which databases can be safely accessed and analyzed without the possibility of privacy breaches or abuse — and has raised a $4.5 million seed round to scale it up.
To work with data, you need to have access to it. If you’re a bank, that means transactions and accounts; if you’re a retailer, that means inventories and supply chains, and so on. There are lots of insights and actionable patterns buried in all that data, and it’s the job of data scientists and their ilk to draw them out.
But what if you can’t access the data? After all, there are many industries where it is not advised or even illegal to do so, such as in healthcare. You can’t exactly take a whole hospital’s medical records, give them to a data analysis firm, and say “sift through that and tell me if there’s anything good.” These, like many other data sets, are too private or sensitive to allow anyone unfettered access. The slightest mistake — let alone abuse — could have serious repercussions.
In recent years a few technologies have emerged that allow for something better, though: analyzing data without ever actually exposing it. It sounds impossible, but there are computational techniques for allowing data to be manipulated without the user ever actually having access to any of it. The most widely used one is called homomorphic encryption, which unfortunately produces an enormous, orders-of-magnitude reduction in efficiency — and big data is all about efficiency.
This is where DataFleets steps in. It hasn’t reinvented homomorphic encryption, but has sort of sidestepped it. It uses an approach called federated learning, where instead of bringing the data to the model, they bring the model to the data.
DataFleets integrates with both sides of a secure gap between a private database and people who want to access that data, acting as a trusted agent to shuttle information between them without ever disclosing a single byte of actual raw data.
Image Credits: DataFleets
Here’s an example. Say a pharmaceutical company wants to develop a machine-learning model that looks at a patient’s history and predicts whether they’ll have side effects with a new drug. A medical research facility’s private database of patient data is the perfect thing to train it. But access is highly restricted.
The pharma company’s analyst creates a machine-learning training program and drops it into DataFleets, which contracts with both them and the facility. DataFleets translates the model to its own proprietary runtime and distributes it to the servers where the medical data resides; within that sandboxed environment, it grows into a strapping young ML agent, which when finished is translated back into the analyst’s preferred format or platform. The analyst never sees the actual data, but has all the benefits of it.
Screenshot of the DataFleets interface. Look, it’s the applications that are meant to be exciting. Image Credits: DataFleets
It’s simple enough, right? DataFleets acts as a sort of trusted messenger between the platforms, undertaking the analysis on behalf of others and never retaining or transferring any sensitive data.
Plenty of folks are looking into federated learning; the hard part is building out the infrastructure for a wide-ranging enterprise-level service. You need to cover a huge amount of use cases and accept an enormous variety of languages, platforms and techniques, and of course do it all totally securely.
“We pride ourselves on enterprise readiness, with policy management, identity-access management, and our pending SOC 2 certification,” said DataFleets COO and co-founder Nick Elledge. “You can build anything on top of DataFleets and plug in your own tools, which banks and hospitals will tell you was not true of prior privacy software.”
But once federated learning is set up, all of a sudden the benefits are enormous. For instance, one of the big issues today in combating COVID-19 is that hospitals, health authorities, and other organizations around the world are having difficulty, despite their willingness, in securely sharing data relating to the virus.
Everyone wants to share, but who sends whom what, where is it kept, and under whose authority and liability? With old methods, it’s a confusing mess. With homomorphic encryption it’s useful but slow. With federated learning, theoretically, it’s as easy as toggling someone’s access.
Because the data never leaves its “home,” this approach is essentially anonymous and thus highly compliant with regulations like HIPAA and GDPR, another big advantage. Elledge notes: “We’re being used by leading healthcare institutions who recognize that HIPAA doesn’t give them enough protection when they are making a data set available for third parties.”
Of course there are less noble, but no less viable, examples in other industries: Wireless carriers could make subscriber metadata available without selling out individuals; banks could sell consumer data without violating anyone in particular’s privacy; bulky datasets like video can sit where they are instead of being duplicated and maintained at great expense.
The company’s $4.5 million seed round is seemingly evidence of confidence from a variety of investors (as summarized by Elledge): AME Cloud Ventures (Jerry Yang of Yahoo) and Morado Ventures, Lightspeed Venture Partners, Peterson Ventures, Mark Cuban, LG, Marty Chavez (president of the board of overseers of Harvard), Stanford-StartX fund, and three unicorn founders (Rappi, Quora and Lucid).
With only 11 full-time employees DataFleets appears to be doing a lot with very little, and the seed round should enable rapid scaling and maturation of its flagship product. “We’ve had to turn away or postpone new customer demand to focus on our work with our lighthouse customers,” Elledge said. They’ll be hiring engineers in the U.S. and Europe to help launch the planned self-service product next year.
“We’re moving from a data ownership to a data access economy, where information can be useful without transferring ownership,” said Elledge. If his company’s bet is on target, federated learning is likely to be a big part of that going forward.
Powered by WPeMatico
All B2B startups are in the payments business
Jeff Coppolo has over 25 years of experience in the fintech industry and is currently Head of Global Business Development and Partnerships for payments processing company BlueSnap.
The COVID-19 pandemic has forced businesses to rethink how they accept and make payments. Paper invoices, checks and point-of-sale payments have given way to “corona-free payments” through mobile apps, electronic invoicing and ACH. Although significant, this is the sideshow to a more significant reshuffling of the payments industry.
Nearly $150 trillion in worldwide B2B and B2C transactions take place every year, but only a tiny portion are digital. A lot of technology companies want their piece of that massive pie. Until recently, though, only payment facilitators (aka, “payfacs”), gateways, banks and credit card companies had access to it.
That’s changing. Whether they know it yet or not, B2B tech platforms are becoming payments companies. Payfacs are competing to integrate their technology into these platforms, which drive an ever-growing number of transactions. Revenue-sharing deals are on the table, and payfacs are pushing the competitive advantages they can offer to the clients of these B2B platforms. Capabilities like cross-border payments, seamless customer onboarding, fraud protection, marketplace payments and B2B invoicing influence, which payfacs win in “integrated payments” (the jargon for this space) and which don’t.
B2B companies that use to leave the choice of gateway to their clients need to become savvy in payment technology, both to control the user experience and to tap this new business. There’s a massive amount of revenue on the table, and it’s just too easy to blow this opportunity and alienate clients in the process.
How we arrived here
A decade ago, the revolution in cloud computing led to a wave of B2B tech platforms promising to “disrupt” every industry. Gyms got gym management platforms. Hospitals got clinic management platforms. Retailers got commerce management platforms. Media companies got subscription management platforms. Many of these fill-in-the-blank management platforms — all independent software vendors (ISVs) — helped clients manage their operations and interactions with consumers or other businesses.
But ISVs didn’t get involved in payments, which was odd, given how complementary payments were to their platforms and how much money was at stake. Mastercard says there is about $120 trillion annually in B2B payments worldwide, and paper checks still dominate about half of the U.S.’s $25 trillion payment volume. Meanwhile, retail e-commerce sales account for $4.2 trillion out of $26 trillion in total retail, or about 16.1%, according to eMarketer. Less than 8% of global commerce is thought to occur online.
You’d think B2B software companies would find a way to generate revenue on some of that $146 trillion in transactions, but most did not. Payment processing is its own, messy, complicated niche. Payfacs go through a grueling underwriting process to provision a merchant account, which includes know-your-customer (KYC) and anti-money laundering (AML) checks. If a merchant defaults, the payfac is next in line to make good on the transactions.
When you run a venture-backed B2B platform, you have enough to worry about already.
So, B2B platforms stayed clear. They formed integrations with a basket of payfacs (Stripe, PayPal, Square, my company BlueSnap, etc.) and then let their clients choose which one to use. That’s a lot of integrations to maintain.
Powered by WPeMatico
A COVID-19 resilience test for B2B companies
TX Zhuo
Contributor
Contributor
TX Zhuo is the managing partner of Fika Ventures, focusing on fintech, enterprise software and marketplace opportunities.
More posts by this contributor
Colton Pace
Contributor
Contributor
Colton Pace is an investor at Fika Ventures. He previously held roles investing at Vulcan Capital and Madrona Venture Labs.
COVID-19 has transformed the global business landscape.
So much so that in a matter of weeks after the onset of the pandemic in the United States, Congress provided more than $1.1 trillion in fiscal stimulus directly to businesses and distressed industries — four times more than was distributed during the 2008-09 financial crisis.
It came as no surprise when, at the start of COVID-19, venture capital investors largely went pencils-down for several weeks and shifted their focus to their existing portfolio companies. Extending company runways, preparing for longer funding cycles and managing operations in a novel business environment became the crux of company resilience. Now, moving into May, we can see this shift reflected in both the decline in number of early-stage companies funded and total capital invested.
As investors begin acclimating to this new normal, they have begun wading into new opportunities in time-proven, healthy industries and new emerging industries that are positioned to succeed during the pandemic. While we are seeing lower valuations, we believe certain B2B technology companies may be uniquely poised to thrive, and are pursuing investment opportunities in this space with a renewed focus.
Image Credits: Crunchbase Data via Tableau Public
*Excluding Biotech & Pharmaceuticals (Source: Crunchbase Data via Tableau Public)
Prior to COVID-19, early-stage B2B investors wanted to see strong growth and healthy unit economics; 3X year-over-year sales growth or 10% monthly growth was the gold standard. An LTV-to-CAC ratio over 3X signified a healthy payback cycle. There was less focus on capital efficiency; for every $1 million invested, investors were happy with $500,000 in generated revenues. Get to these numbers and your next funding round was guaranteed — but no longer.
During COVID, and likely beyond, company expectations and goalposts have been adjusted; 2X year-over-year growth may be the new 3X. While growth and unit economics are important, there are now new health indicators that will determine if a B2B company will thrive in a post-COVID world. With that in mind, we have put together a COVID reslience test that startups can use as a north star to grow their business in this new world.
This COVID-19 test is meant to be a gated checklist that will indicate where efforts should be focused, whether it be sales, product or finance. Before we leave you to your own devices, we wanted to walk through a couple of these new post-COVID questions that you should try to answer (and why they are relevant).
Powered by WPeMatico