Hello friends, and welcome back to Week in Review.
Last week, we dove into the truly bizarre machinations of the NFT market. This week, we’re talking about something that’s a little bit more impactful on the current state of the web — Apple’s NeuralHash kerfuffle.
In the past month, Apple did something it generally has done an exceptional job avoiding — the company made what seemed to be an entirely unforced error.
In early August — seemingly out of nowhere** — the company announced that by the end of the year they would be rolling out a technology called NeuralHash that actively scanned the libraries of all iCloud Photos users, seeking out image hashes that matched known images of child sexual abuse material (CSAM). For obvious reasons, the on-device scanning could not be opted out of.
This announcement was not coordinated with other major consumer tech giants, Apple pushed forward on the announcement alone.
Researchers and advocacy groups had almost unilaterally negative feedback for the effort, raising concerns that this could create new abuse channels for actors like governments to detect on-device information that they regarded as objectionable. As my colleague Zach noted in a recent story, “The Electronic Frontier Foundation said this week it had amassed more than 25,000 signatures from consumers. On top of that, close to 100 policy and rights groups, including the American Civil Liberties Union, also called on Apple to abandon plans to roll out the technology.”
(The announcement also reportedly generated some controversy inside of Apple.)
The issue — of course — wasn’t that Apple was looking at find ways that prevented the proliferation of CSAM while making as few device security concessions as possible. The issue was that Apple was unilaterally making a massive choice that would affect billions of customers (while likely pushing competitors towards similar solutions), and was doing so without external public input about possible ramifications or necessary safeguards.
A long story short, over the past month researchers discovered Apple’s NeuralHash wasn’t as air tight as hoped and the company announced Friday that it was delaying the rollout “to take additional time over the coming months to collect input and make improvements before releasing these critically important child safety features.”
Having spent several years in the tech media, I will say that the only reason to release news on a Friday morning ahead of a long weekend is to ensure that the announcement is read and seen by as few people as possible, and it’s clear why they’d want that. It’s a major embarrassment for Apple, and as with any delayed rollout like this, it’s a sign that their internal teams weren’t adequately prepared and lacked the ideological diversity to gauge the scope of the issue that they were tackling. This isn’t really a dig at Apple’s team building this so much as it’s a dig on Apple trying to solve a problem like this inside the Apple Park vacuum while adhering to its annual iOS release schedule.
Image Credits: Bryce Durbin / TechCrunch /
Apple is increasingly looking to make privacy a key selling point for the iOS ecosystem, and as a result of this productization, has pushed development of privacy-centric features towards the same secrecy its surface-level design changes command. In June, Apple announced iCloud+ and raised some eyebrows when they shared that certain new privacy-centric features would only be available to iPhone users who paid for additional subscription services.
You obviously can’t tap public opinion for every product update, but perhaps wide-ranging and trail-blazing security and privacy features should be treated a bit differently than the average product update. Apple’s lack of engagement with research and advocacy groups on NeuralHash was pretty egregious and certainly raises some questions about whether the company fully respects how the choices they make for iOS affect the broader internet.
Delaying the feature’s rollout is a good thing, but let’s all hope they take that time to reflect more broadly as well.
** Though the announcement was a surprise to many, Apple’s development of this feature wasn’t coming completely out of nowhere. Those at the top of Apple likely felt that the winds of global tech regulation might be shifting towards outright bans of some methods of encryption in some of its biggest markets.
Back in October of 2020, then United States AG Bill Barr joined representatives from the UK, New Zealand, Australia, Canada, India and Japan in signing a letter raising major concerns about how implementations of encryption tech posed “significant challenges to public safety, including to highly vulnerable members of our societies like sexually exploited children.” The letter effectively called on tech industry companies to get creative in how they tackled this problem.
Here are the TechCrunch news stories that especially caught my eye this week:
LinkedIn kills Stories
You may be shocked to hear that LinkedIn even had a Stories-like product on their platform, but if you did already know that they were testing Stories, you likely won’t be so surprised to hear that the test didn’t pan out too well. The company announced this week that they’ll be suspending the feature at the end of the month. RIP.
FAA grounds Virgin Galactic over questions about Branson flight
While all appeared to go swimmingly for Richard Branson’s trip to space last month, the FAA has some questions regarding why the flight seemed to unexpectedly veer so far off the cleared route. The FAA is preventing the company from further launches until they find out what the deal is.
Apple buys a classical music streaming service
While Spotify makes news every month or two for spending a massive amount acquiring a popular podcast, Apple seems to have eyes on a different market for Apple Music, announcing this week that they’re bringing the classical music streaming service Primephonic onto the Apple Music team.
TikTok parent company buys a VR startup
It isn’t a huge secret that ByteDance and Facebook have been trying to copy each other’s success at times, but many probably weren’t expecting TikTok’s parent company to wander into the virtual reality game. The Chinese company bought the startup Pico which makes consumer VR headsets for China and enterprise VR products for North American customers.
Twitter tests an anti-abuse ‘Safety Mode’
The same features that make Twitter an incredibly cool product for some users can also make the experience awful for others, a realization that Twitter has seemingly been very slow to make. Their latest solution is more individual user controls, which Twitter is testing out with a new “safety mode” which pairs algorithmic intelligence with new user inputs.
Some of my favorite reads from our Extra Crunch subscription service this week:
Our favorite startups from YC’s Demo Day, Part 1
“Y Combinator kicked off its fourth-ever virtual Demo Day today, revealing the first half of its nearly 400-company batch. The presentation, YC’s biggest yet, offers a snapshot into where innovation is heading, from not-so-simple seaweed to a Clearco for creators….”
“…Yesterday, the TechCrunch team covered the first half of this batch, as well as the startups with one-minute pitches that stood out to us. We even podcasted about it! Today, we’re doing it all over again. Here’s our full list of all startups that presented on the record today, and below, you’ll find our votes for the best Y Combinator pitches of Day Two. The ones that, as people who sift through a few hundred pitches a day, made us go ‘oh wait, what’s this?’
All the reasons why you should launch a credit card
“… if your company somehow hasn’t yet found its way to launch a debit or credit card, we have good news: It’s easier than ever to do so and there’s actual money to be made. Just know that if you do, you’ve got plenty of competition and that actual customer usage will probably depend on how sticky your service is and how valuable the rewards are that you offer to your most active users….”
On average, men and women speak roughly 15,000 words per day. We call our friends and family, log into Zoom for meetings with our colleagues, discuss our days with our loved ones, or if you’re like me, you argue with the ref about a bad call they made in the playoffs.
Hospitality, travel, IoT and the auto industry are all on the cusp of leveling-up voice assistant adoption and the monetization of voice. The global voice and speech recognition market is expected to grow at a CAGR of 17.2% from 2019 to reach $26.8 billion by 2025, according to Meticulous Research. Companies like Amazon and Apple will accelerate this growth as they leverage ambient computing capabilities, which will continue to push voice interfaces forward as a primary interface.
As voice technologies become ubiquitous, companies are turning their focus to the value of the data latent in these new channels. Microsoft’s recent acquisition of Nuance is not just about achieving better NLP or voice assistant technology, it’s also about the trove of healthcare data that the conversational AI has collected.
Our voice technologies have not been engineered to confront the messiness of the real world or the cacophony of our actual lives.
Google has monetized every click of your mouse, and the same thing is now happening with voice. Advertisers have found that speak-through conversion rates are higher than click-through conversation rates. Brands need to begin developing voice strategies to reach customers — or risk being left behind.
Voice tech adoption was already on the rise, but with most of the world under lockdown protocol during the COVID-19 pandemic, adoption is set to skyrocket. Nearly 40% of internet users in the U.S. use smart speakers at least monthly in 2020, according to Insider Intelligence.
Yet, there are several fundamental technology barriers keeping us from reaching the full potential of the technology.
By the end of 2020, worldwide shipments of wearable devices rose 27.2% to 153.5 million from a year earlier, but despite all the progress made in voice technologies and their integration in a plethora of end-user devices, they are still largely limited to simple tasks. That is finally starting to change as consumers demand more from these interactions, and voice becomes a more essential interface.
In 2018, in-car shoppers spent $230 billion to order food, coffee, groceries or items to pick up at a store. The auto industry is one of the earliest adopters of voice AI, but in order to really capture voice technology’s true potential, it needs to become a more seamless, truly hands-free experience. Ambient car noise still muddies the signal enough that it keeps users tethered to using their phones.
Getting inside the mind of customers is a challenge as behaviors and demands shift, but Clootrack believes it has cracked the code in helping brands figure out how to do that.
It announced $4 million in Series A funding, led by Inventus Capital India, and included existing investors Unicorn India Ventures, IAN Fund and Salamander Excubator Angel Fund, as well as individual investment from Jiffy.ai CEO Babu Sivadasan. In total, the company raised $4.6 million, co-founder Shameel Abdulla told TechCrunch.
Clootrack is a real-time customer experience analytics platform that helps brands understand why customers stay or churn. Shameel Abdulla and Subbakrishna Rao, who both come from IT backgrounds, founded the company in 2017 after meeting years prior at Jiffstore, Abdulla’s second company that was acquired in 2015.
Clootrack team. Image Credits: Clootrack
Business-to-consumer and consumer brands often use customer satisfaction metrics like Net Promoter Score to understand the customer experience, but Abdulla said current methods don’t provide the “why” of those experiences and are slow, expensive and error-prone.
“The number of channels has increased, which means customers are talking to you, expressing their feedback and what they think in multiple places,” he added. “Word of mouth has gone digital, and you basically have to master the art of selling online.”
Clootrack turns the customer experience data from all of those first-party and third-party touchpoints — website feedback, chat bots, etc. — into granular, qualitative insights that give brands a look at drivers of the experience in hours rather than months so that they can stay on top of fast-moving trends.
Abdulla points to data that show a customer’s biggest driver of brand switch is the experience they receive. And, that if brands can reduce churns by 5%, they could be looking at an increase in profits of between 25% and 95%.
Most of the new funding will go to product development so that all data aggregations are gathered from all possible touchpoints. His ultimate goal is to be “the single platform for B2C firms.”
The company is currently working with over 150 customers in the areas of retail, direct-to-consumer, banking, automotive, travel and mobile app-based services. It is growing nine times year over year in revenue. It is mainly operating in India, but Clootrack is also onboarding companies in the U.S. and Europe.
Parag Dhol, managing director of Inventus, said he has known Abdulla for over five years. He had looked at one of Abdulla’s companies for investment, but had decided against it due to his firm being a Series A investor.
Dhol said market research needs an overhaul in India, where this type of technology is lagging behind the U.S.
“Clootrack has a very complementary team with Shameel being a complete CEO in terms of being a sales guy and serial entrepreneur who has learned his lessons, and Subbu, who is good at technology,” he added. “As CMOs realize the value in their unstructured data inside of their own database of the customer reviews and move to real-time feedback, these guys could make a serious dent in the space.”
Cohort analysis is a way of evaluating your business that involves grouping customers into “cohorts” and observing how they behave over time. A commonly used approach is monthly cohort analysis, where customers are grouped by the month they signed up, allowing you to observe how someone who joined in November compares to someone who signed up the month before.
Cohort analysis gives you a multivariable, forward-looking view of your business compared to more simple and static values like averages or totals.
Cohort analysis is flexible and can be used to analyze a variety of performance metrics including revenue, acquisition costs and churn.
Let’s imagine you’re the CMO of the “Bluetooth Coffee Company.” You sell a tech-enabled “coffee composer” that brews coffee, tracks consumption and orders replacement coffee when users are running low. The longer your customers are subscribers, the more money you make. You recently ran a Black Friday feature on a popular deals site and you’re interested to know if you should run it again.
The chart below is a simple analysis you might do to gauge your marketing performance. It shows the total customers added each month, and a clear spike in November following the Black Friday promotion. At first glance, things look good — you brought in more than double the monthly customers in November compared to October.
Image Credits: Sagard & Portage Ventures
But before you rebook the promotion, you should ask if these new Black Friday consumers are as valuable as they seem. Comparing monthly customer percentage is a good way to find out.
Below is a monthly cohort analysis of new customers between September 2020 and February 2021. Like our previous chart, we’ve listed the monthly cohort size, but we’ve also included the customer engagement rate (calculated by dividing daily active users by monthly active users or DAU/MAU for each month (M1 is month 1, M2 is month 2, and so on).
This analysis lets us see how the customer engagement of each monthly cohort compares to the next.
Image Credits: Sagard & Portage Ventures
From the figures above, we see that most cohorts have a customer engagement rate in their first month (M1, 42%-46%), meaning 42%-46% of new customers use the coffee composer everyday. The November cohort however has materially lower engagement (M1, 30%), and remains lower in subsequent months (M2, 26%) and (M3, 27%). Interestingly, the customer engagement rate only drops with the November cohort, returning to normal with the December cohort (M1, 45%).
If the past 18 months is any indication, the nature of the workplace is changing. And while Box and Zoom already have integrations together, it makes sense for them to continue to work more closely.
Their newest collaboration is the Box app for Zoom, a new type of in-product integration that allows users to bring apps into a Zoom meeting to provide the full Box experience.
While in Zoom, users can securely and directly access Box to browse, preview and share files from Zoom — even if they are not taking part in an active meeting. This new feature follows a Zoom integration Box launched last year with its “Recommended Apps” section that enables access to Zoom from Box so that workflows aren’t disrupted.
The companies’ chief product officers, Diego Dugatkin with Box and Oded Gal with Zoom, discussed with TechCrunch why seamless partnerships like these are a solution for the changing workplace.
With digitization happening everywhere, an integration of “best-in-breed” products for collaboration is essential, Dugatkin said. Not only that, people don’t want to be moving from app to app, instead wanting to stay in one environment.
“It’s access to content while never having to leave the Zoom platform,” he added.
It’s also access to content and contacts in different situations. When everyone was in an office, meeting at a moment’s notice internally was not a challenge. Now, more people are understanding the value of flexibility, and both Gal and Dugatkin expect that spending some time at home and some time in the office will not change anytime soon.
As a result, across the spectrum of a company, there is an increasing need for allowing and even empowering people to work from anywhere, Dugatkin said. That then leads to a conversation about sharing documents in a secure way for companies, which this collaboration enables.
The new Box and Zoom integration enables meeting in a hybrid workplace: chat, video, audio, computers or mobile devices, and also being able to access content from all of those methods, Gal said.
“Companies need to be dynamic as people make the decision of how they want to work,” he added. “The digital world is providing that flexibility.”
This long-term partnership is just scratching the surface of the continuous improvement the companies have planned, Dugatkin said.
Dugatkin and Gal expect to continue offering seamless integration before, during and after meetings: utilizing Box’s cloud storage, while also offering the ability for offline communication between people so that they can keep the workflow going.
“As Diego said about digitization, we are seeing continuous collaboration enhanced with the communication aspect of meetings day in and day out,” Gal added. “Being able to connect between asynchronous and synchronous with Zoom is addressing the future of work and how it is shaping where we go in the future.”
Explosion, a company that has combined an open source machine learning library with a set of commercial developer tools, announced a $6 million Series A today on a $120 million valuation. The round was led by SignalFire, and the company reported that today’s investment represents 5% of its value.
Oana Olteanu from SignalFire will be joining the board under the terms of the deal, which includes warrants of $12 million in additional investment at the same price.
“Fundamentally, Explosion is a software company and we build developer tools for AI and machine learning and natural language processing. So our goal is to make developers more productive and more focused on their natural language processing, so basically understanding large volumes of text, and training machine learning models to help with that and automate some processes,” company co-founder and CEO Ines Montani told me.
The company started in 2016 when Montani met her co-founder, Matthew Honnibal in Berlin where he was working on the spaCy open source machine learning library. Since then, that open source project has been downloaded over 40 million times.
In 2017, they added Prodigy, a commercial product for generating data for the machine learning model. “Machine learning is code plus data, so to really get the most out of the technologies you almost always want to train your models and build custom systems because what’s really most valuable are problems that are super specific to you and your business and what you’re trying to find out, and so we saw that the area of creating training data, training these machine learning models, was something that people didn’t pay very much attention to at all,” she said.
The next step is a product called Prodigy Teams, which is a big reason the company is taking on this investment. “Prodigy Teams is [a hosted service that] adds user management and collaboration features to Prodigy, and you can run it in the cloud without compromising on what people love most about Prodigy, which is the data privacy, so no data ever needs to get seen by our servers,” she said. They do this by letting the data sit on the customer’s private cluster in a private cloud, and then use Prodigy Team’s management features in the public cloud service.
Today, they have 500 customers using Prodigy including Microsoft and Bayer in addition to the huge community of millions of open source users. They’ve built all this with just 17 people, even as they continue to slowly add employees, expecting to reach 20 by the end of the year.
She believes if you’re thinking too much about diversity in your hiring process, you probably have a problem already. “If you go into hiring and you’re thinking like, oh, how can I make sure that the way I’m hiring is diverse, I think that already shows that there’s maybe a problem,” she said.
“If you have a company, and it’s 50 dudes in their 20s, it’s not surprising that you might have problems attracting people who are not white dudes in their 20s. But in our case, our strategy is to hire good people and good people are often very diverse people, and again if you play by the [startup] playbook, you could be limited in a lot of other ways.”
She said that they have never seen themselves as a traditional startup following some conventional playbook. “We didn’t raise any investment money [until now]. We grew the team organically, and we focused on being profitable and independent [before we got outside investment],” she said.
But more than the money, Montani says that they needed to find an investor that would understand and support the open source side of the business, even while they got capital to expand all parts of the company. “Open source is a community of users, customers and employees. They are real people, and [they are not] pawns in [some] startup game, and it’s not a game. It’s real, and these are real people,” she said.
“They deserve more than just my eyeballs and grand promises. […] And so it’s very important that even if we’re selling a small stake in our company for some capital [to build our next] product [that open source remains at] the core of our company and that’s something we don’t want to compromise on,” Montani said.
Over the previous two or three years we’ve seen an explosion of new debit and credit card products come to market from consumer and B2B fintech startups, as well as companies that we might not traditionally think of as players in the financial services industry.
On the consumer side, that means companies like Venmo or PayPal offering debit cards as a new way for users to spend funds in their accounts. In the B2B space, the availability of corporate card issuing by startups like Brex and Ramp has ushered in new expense and spend management options. And then there is the growth of branded credit and debit cards among brands and sports teams.
But if your company somehow hasn’t yet found its way to launch a debit or credit card, we have good news: It’s easier than ever to do so and there’s actual money to be made. Just know that if you do, you’ve got plenty of competition and that actual customer usage will probably depend on how sticky your service is and how valuable the rewards are that you offer to your most active users.
To learn more about launching a card product, TechCrunch spoke with executives from Marqeta, Expensify, Synctera and Cardless about the pros and cons of launching a card product. So without further ado, here are all the reasons you should think about doing so, and one big reason why you might not want to.
Probably the biggest reason we’ve seen so many new fintech and non-fintech companies rush to offer debit and credit cards to customers is simply that it’s easier than ever for them to do so. The launch and success of businesses like Marqeta has made card issuance by API developer friendly, which lowered the barrier to entry significantly over the last half-decade.
“The reason why this is happening is because the ‘fintech 1.0 infrastructure’ has succeeded,” Salman Syed, Marqeta’s SVP and GM of North America, said. “When you’ve got companies like [ours] out there, it’s just gotten a lot easier to be able to put a card product out.”
While noting that there have been good options for card issuance and payment processing for at least the last five or six years, Expensify Chief Operating Officer Anu Muralidharan said that a proliferation of technical resources for other pieces of fintech infrastructure has made the process of greenlighting a card offering much easier over the years.
YouTravel.Me is the latest startup to grab some venture capital dollars as the travel industry gets back on its feet amid the global pandemic.
Over the past month, we’ve seen companies like Thatch raise $3 million for its platform aimed at travel creators, travel tech company Hopper bring in $175 million, Wheel the World grab $2 million for its disability-friendly vacation planner, Elude raise $2.1 million to bring spontaneous travel back to a hard-hit industry and Wanderlog bag $1.5 million for its free travel itinerary platform.
Today YouTravel.Me joins them after raising $1 million to continue developing its online platform designed for matching like-minded travelers to small-group adventures organized by travel experts. Starta VC led the round and was joined by Liqvest.com, Mission Gate and a group of individual investors like Bas Godska, general partner at Acrobator Ventures.
Olga Bortnikova, her husband Ivan Bortnikov and Evan Mikheev founded the company in Europe three years ago. The idea for the company came to Bortnikova and Bortnikov when a trip to China went awry after a tour operator sold them a package where excursions turned out to be trips to souvenir shops. One delayed flight and other mishaps along the way, and the pair went looking for better travel experiences and a way to share them with others. When they couldn’t find what they were looking for, they decided to create it themselves.
“It’s hard for adults to make friends, but when you are on a two-week trip with just 15 people in a group, you form a deep connection, share the same language and experiences,” Bortnikova told TechCrunch. “That’s our secret sauce — we want to make a connection.”
Much like a dating app, the YouTravel.Me’s algorithms connect travelers to trips and getaways based on their interests, values and past experiences. Matched individuals can connect with each via chat or voice, work with a travel expert and complete their reservations. They also have a BeGuide offering for travel experts to do research and create itineraries.
Since 2018, CEO Bortnikova said that YouTravel.Me has become the top travel marketplace in Eastern Europe, amassing over 15,900 tours in 130 countries and attracting over 10,000 travelers and 4,200 travel experts to the platform. It was starting to branch out to international sales in 2020 when the global pandemic hit.
“Sales and tourism crashed down, and we didn’t know what to do,” she said. “We found that we have more than 4,000 travel experts on our site and they feel lonely because the pandemic was a test of the industry. We understood that and built a community and educational product for them on how to build and scale their business.”
After a McKinsey study showed that adventure travel was recovering faster than other sectors of the industry, the founders decided to go after that market, becoming part of 500 Startups at the end of 2020. As a result, YouTravel.Me doubled its revenue while still a bootstrapped company, but wanted to enter the North American market.
The new funding will be deployed into marketing in the U.S., hiring and attracting more travel experts, technology and product development and increasing gross merchandise value to $2.7 million per month by the end of 2021, Bortnikov said. The goal is to grow the number of trips to 20,000 and its travel experts to 6,000 by the beginning of next year.
Godska, also an angel investor, learned about YouTravel.Me from a mutual friend. It happened that it was the same time that he was vacationing in Sri Lanka where he was one of very few tourists. Godska was previously involved in online travel before as part of Orbitz in Europe and in Russia selling tour packages before setting up a venture capital fund.
“I was sitting there in the jungle with a bad internet connection, and it sparked my interest,” he said. “When I spoke with them, I felt the innovation and this bright vibe of how they are doing this. It instantly attracted me to help support them. The whole curated thing is a very interesting move. Independent travelers that want to travel in groups are not touched much by the traditional sector.”
Pixalate raised $18.1 million in growth capital for its fraud protection, privacy and compliance analytics platform that monitors connected television and mobile advertising.
Western Technology Investment and Javelin Venture Partners led the latest funding round, which brings Pixalate’s total funding to $22.7 million to date. This includes a $4.6 million Series A round raised back in 2014, Jalal Nasir, founder and CEO of Pixalate, told TechCrunch.
The company, with offices in Palo Alto and London, analyzes over 5 million apps across five app stores and more 2 billion IP addresses across 300 million connected television devices to detect and report fraudulent advertising activity for its customers. In fact, there are over 40 types of invalid traffic, Nasir said.
Nasir grew up going to livestock shows with his grandfather and learned how to spot defects in animals, and he has carried that kind of insight to Pixalate, which can detect the difference between real and fake users of content and if fraudulent ads are being stacked or hidden behind real advertising that zaps smartphone batteries or siphons internet usage and even ad revenue.
Digital advertising is big business. Nasir cited Association of National Advertisers research that estimated $200 billion will be spent globally in digital advertising this year. This is up from $10 billion a year prior to 2010. Meanwhile, estimated ad fraud will cost the industry $35 billion, he added.
“Advertisers are paying a premium to be in front of the right audience, based on consumption data,” Nasir said. “Unfortunately, that data may not be authorized by the user or it is being transmitted without their consent.”
While many of Pixalate’s competitors focus on first-party risks, the company is taking a third-party approach, mainly due to people spending so much time on their devices. Some of the insights the company has found include that 16% of Apple’s apps don’t have privacy policies in place, while that number is 22% in Google’s app store. More crime and more government regulations around privacy mean that advertisers are demanding more answers, he said.
The new funding will go toward adding more privacy and data features to its product, doubling the sales and customer teams and expanding its office in London, while also opening a new office in Singapore.
The company grew 1,200% in revenue since 2014 and is gathering over 2 terabytes of data per month. In addition to the five app stores Pixalate is already monitoring, Nasir intends to add some of the China-based stores like Tencent and Baidu.
Noah Doyle, managing director at Javelin Venture Partners, is also monitoring the digital advertising ecosystem and said with networks growing, every linkage point exposes a place in an app where bad actors can come in, which was inaccessible in the past, and advertisers need a way to protect that.
“Jalal and Amin (Bandeali) have insight from where the fraud could take place and created a unique way to solve this large problem,” Doyle added. “We were impressed by their insight and vision to create an analytical approach to capturing every data point in a series of transactions — more data than other players in the industry — for comprehensive visibility to help advertisers and marketers maintain quality in their advertising.”
Even without staffing shortages, local merchants have difficulty answering calls while all hands are busy, and Goodcall wants to alleviate some of that burden from America’s 30 million small businesses.
Goodcall’s free cloud-based conversational platform leverages artificial intelligence to manage incoming phone calls and boost customer service for businesses of all sizes. Former Google executive Bob Summers left Google back in January, where he was working on Area 120 — an internal incubator program for experimental projects — to start Goodcall after recognizing the call problem, noting that in fact 60% of the calls that come into merchants go unanswered.
“It’s frustrating for you and for the person calling,” Summers told TechCrunch. “Every missed call is a lost opportunity.”
Goodcall announced its launch Wednesday with $4 million in seed funding led by strategic investors Neo, Foothill Ventures, Merus Capital, Xoogler Ventures, Verissimo Ventures and VSC Ventures, as well as angel investors including Harry Hurst, founder and co-CEO of Pipe.com, and Zillow co-founder Spencer Rascoff.
Goodcall mobile agent. Image Credits: Goodcall
Restaurants, shops and merchants can set up on Goodcall in a matter of minutes and even establish a local phone number to free up an owner’s mobile number from becoming the business’ main line. The service is initially deployed in English and the company has plans to operate in Spanish, French and Hindi by 2022.
Merchants can choose from six different assistant voices and monitor the call logs and what the calls were about. Goodcall can also capture consumer sentiment, Summers said.
The company offers three options, including its freemium service for solopreneurs and business owners, which includes up to 500 minutes per month of Goodcall services for a single phone line. Up to five additional locations and five staff members costs $19 per month for the Pro level, or the Premium level provides unlimited locations and staff for $49 per month.
During the company’s beta period, Goodcall was processing several thousands of calls per month. The new funding will be used to continue to offer the free service, hire engineers and continue product development.
In addition to the funding round, Goodcall is unveiling a partnership with Yelp to tap into its database of local businesses so that those owners and managers can easily deploy Goodcall. Yelp data shows that more than 500,000 businesses opened during the pandemic. The company pulls in from Yelp a merchant’s open hours, location, if they offer Wi-Fi and even their COVID policy.
“We are partnering with Yelp, which has the best data on small businesses, and other large distribution channels to get our product to market,” Summers said. “We are bringing technology into an industry that hasn’t innovated since the 1980s and democratizing conversational AI for small businesses that are the main driver of job creation, and we want to help them grow.”
How many of us have not switched insurance carriers because we don’t want to deal with the hassle of comparison shopping?
A lot, I’d bet.
Today, Insurify, a startup that wants to help people make it easier to get better rates on home, auto and life insurance, announced that it has closed $100 million in an “oversubscribed” Series B funding round led by Motive Partners.
Existing backers Viola FinTech, MassMutual Ventures, Nationwide, Hearst Ventures and Moneta VC also put money in the round, as well as new investors Viola Growth and Fort Ross Ventures. With the new financing, Cambridge, Massachusetts-based Insurify has now raised a total of $128 million since its 2013 inception. The company declined to disclose the valuation at which the money was raised.
Since we last covered Insurify, the startup has seen some impressive growth. For example, it has seen its new and recurring revenue increase by “6x” since it closed its Series A funding in the 2019 fourth quarter. Over the last three years, Insurify has achieved a CAGR (compound annual growth rate) of 151%, according to co-founder and CEO Snejina Zacharia. It has also seen consistent “2.5x” year-over-year revenue growth, she said.
Insurify has built a machine learning-based virtual insurance agent that integrates with more than 100 carriers to digitize — and personalize — the insurance shopping experience. There are others in the insurtech space, but none that we know of currently tackling home, auto and life insurance. For example, Jerry, which has raised capital twice this year, is focused mostly on auto insurance, although it does have a home product. The Zebra, which became a unicorn this year, started out as a site for people looking for auto insurance via its real-time quote comparison tool. Over time, it has also evolved to offer homeowners insurance with the goal of eventually branching out into renters and life insurance. But it too is mostly focused on auto.
Zacharia said that since Insurify’s Series A funding, it has expanded its home insurance marketplace, deepened its carrier integrations to provide users an “instant” purchase experience and launched its first two embedded insurance products through partnerships with Toyota Insurance Management Solutions and Nationwide (the latter of which also participated in the Series B funding round).
Image Credits: Insurify
Last year, when ShyScanner had to lay off staff, Insurify scooped up much of its engineering team and established an office in Sofia, Bulgaria.
Zacharia, a former Gartner executive, was inspired to start the company after she was involved in a minor car accident while getting her MBA at MIT. The accident led to a spike in her insurance premium and Zacharia was frustrated by the “complex and cumbersome” experience of car insurance shopping. She teamed up with CTO Tod Kiryazov to build Insurify, which the pair describe as a virtual insurance agent that offers real-time quotes.
“We decided to build the most trusted virtual insurance agent in the industry that allows for customers to easily search, compare and buy fully digitally — directly from their mobile phone, or desktop, and really get a very smart, personalized experience based on their unique preferences,” Zacharia told TechCrunch. “We leverage artificial intelligence to be able to make recommendations on both coverage as well as carrier selection.”
Notably, Insurify is also a fully licensed agent that takes over the fulfillment and servicing of the policies. Since the company is mostly working as an insurance agent, it gets paid new and renewed commission. So while it’s not a SaaS business, its embedded insurance offerings have SaaS-like monetization.
“Our goal is to provide an experience for the end consumer that allows them to service and manage all of their policies in one place, digitally,” Zacharia said. “We think that the data recommendations that the platform provides can really remove most of the friction that currently exists in the shopping experience.”
Insurify plans to use its fresh capital to continue to expand its operations and accelerate its growth plans. It also, naturally, wants to add to its 125-person team.
“We want to build into our API integrations so customers can receive real-time direct quotes with better personalization and a more tailored experience,” Kiryazov said. “We also want to identify more embedded insurance opportunities and expand the product functionality.”
The company also down the line wants to expand into other verticals such as pet insurance, for example.
Insurify intends to use the money in part to build brand awareness, potentially through TV advertising.
“Almost half of our revenue comes from self-directed traffic,” Zacharia said. “So we want to explore more inorganic growth.”
James “Jim” O’Neill, founding partner at Motive Partners and partner Andy Rear point out that online purchasing now accounts for almost all of the growth in U.S. auto insurance.
“The lesson from other markets which have been through this transition is that customers prefer choice, presented as a simple menu of products and prices from different insurers, and a straightforward online purchasing process,” they wrote via email. “The U.S. auto market is huge: even a slow transition to online means a massive opportunity for Insurify.”
In conducting their due diligence, the pair said they were impressed with how the startup is building a business model “that works for customers, insurers and white-label partners.”
Harel Beit-On, founder and general partner at Viola Growth, believes that the quantum leap in e-commerce due to COVID-19 will completely transform the buying experience in almost every sector, including insurance.
“It is time to bring the frictionless purchasing experience that customers expect to the insurance space as well,” she said. “Following our fintech fund’s recent investment in the company, we watched Insurify’s immense growth, excellent execution with customer acquisition and building a brand consumers trust.”
“Traditional voice-based call center service is difficult and costly. This is where artificial intelligence and voice technology have presented an opportunity for enterprises to overcome the challenges of scale and engagement at their customer contact centers,” co-founder and CEO Skit Sourabh Gupta told TechCrunch.
The Covid-19 pandemic led to an unprecedented increase in call volumes at bank call centers as customers tried to manage their portfolios amid the chaos of work from home policy and financial instability, Gupta said. And that presented an opportunity for companies like Skit.
“Customers have a natural tendency to prefer voice call support over other self-service channels and this has led to the increase in pressure on the traditional interactive voice responses (IVR) systems and support agents to respond to all incoming queries,” he said.
Bengaluru-based artificial intelligence SaaS voice automation company Skit, formerly known as Vernacular.ai, developed its AI-based voice automation platform VIVA, short for Vernacular Intelligent Voice Assistant, which enables corporations to automate 90% of their call center operations powered by Natural Language Understanding (NLU) technology. Its product VIVA covers more than 16 languages and 160 dialects.
Skit announced today it has closed $23 million Series B round to accelerate its growth in domestic and global markets including the US and South East Asia and enhance its voice automation platform.
The company was founded in 2016 by two co-founders, Indian Institute of Technology alumni, Roorkee alumnus, Sourabh Gupta and Akshay Deshraj.
The latest funding was led by WestBridge Capital along with existing investors Kalaari Capital and Exfinity Ventures, IAN Fund, LetsVenture and Sense AI. Angel investors including Prophetic Ventures’ Aaryaman Vir Shah also participated the round. The Series B round brings Skit’s total funding to $30 million.
Skit will use the fresh funding for sales, marketing, further R&D to strengthen its personalized solutions and voice products, as well as its global expansion.
“We want to double down and scale operations in both Indian and global markets. We are also planning on increasing our employee headcount. Through our new headquarters in New York, we want to build a strong customer base in North America by our product available to US enterprises,” Gupta told TechCrunch.
The company said it has quadrupled its amount of revenue and numbers of customers in 2020-2021 since its previous fundraising, $5.1 million Series A, in May 2020. Its average order book has also been growing in CAGR 200-300% every year, Gupta added. It currently has 150 employees.
Skit recently expanded into the US and South East Asia market.
“We noticed that there (South East Asia) is a high potential market for the adoption of conversational AI. Most importantly, these markets are home to a multitude of languages and dialects,” Gupta said in an exclusive interview with TechCrunch.
Given that language and hyper-personalization are Skit’s strongest suit, the company is witnessing increase adoption in South East Asia market, where is easier for the company to expand with similar demographics and business challenges as in India, Gupta explained.
It also opened headquarters in NYC, “It is a mature market, ahead in technology adoption with a level-playing for strong competition,” he said.
Venture advisor at WestBridge Capital Sashi Reddi said in a statement: “Skit’s success in helping India’s largest companies, positions them well to enter the US market where there is a massive need for voice AI solutions.”
The global contact center market size is expected to increase steadily and reach $496 billion by 2027. Skit will potentially address the $300 billion voice customer service market with its voice AI platform VIVA, Gupta said.
Its B2B and B2C clients are in diverse industries including banking, insurance, finance, securities, non-banking finance companies, travels, logistics, food & beverage, e-commerce. It has more than 25 B2B clients including Axis Bank, Hathway, Porter and Barbeque Nation, according to Gupta.
Call centers are traditionally places where there are high costs and high attrition rates, and for the end-users the traditional interactive voice responses (IVRs) and the wait times are irritating. There were longer than usual wait-times, call drops and going through extensive IVR menus and frequent agent transfers which increase customer frustration.
With over 10 million hour of training data, Skit’s VIVA replicates human-like conversation and understands speaker’s intent and can translate other unique speech characteristics that enable more efficient query resolutions, Gupta said.
Skit has been listed in Forbes 30 Under 30 Asia start-ups 2021.
Itamar Jobani was a software developer working for a medical company and “hated that time of the month” when he had to use the company’s chosen reimbursement tool.
“It was full of friction and as part of the company’s wellness team, I felt an urge to take care of the employee experience and find a better tool,” Jobani told TechCrunch. “I looked for something, but didn’t find it, so I tried to build it myself.”
What resulted was PayEm, an Israeli company he founded with Omer Rimoch in 2019 to be a spend and procurement platform for high-growth and multinational organizations. Today, it announced $27 million in funding that includes $7 million in seed funding, led by Pitango First and NFX, with participation by LocalGlobe and Fresh Fund, as well as $20 million in Series A funding led by Glilot+.
The company’s technology automates the reimbursement, procurement, accounts payable and credit card workflows to manage all of the requests and invoices, while also creating bills and sending payments to over 200 territories in 130 currencies.
It gives company finance teams a real-time look at what items employees are asking for funds to buy, and what is actually being spent. For example, teams can submit a request and go through an approval flow that can be customized with purchasing codes tied to a description of the transaction. At the same time, all transactions are continuously reconciled versus having to spend hours at the end of the month going through paperwork.
“Organizations are running in a more democratized way with teams buying things on behalf of the organization,” Jobani said. “We built a platform to cater to those needs, so it’s like a disbursement platform instead of a finance team always being in charge.”
The global B2B payments market is valued at $120 trillion annually and is expected to reach $200 trillion by 2028, according to payment industry newsletter Nilson Report. PayEm is among many B2B payments startups attracting venture capital — for example, last month, Nium announced a $200 million in Series D funding at a $1 billion valuation. Paystand raised $50 million in Series C funding to make B2B payments cashless, while Dwolla raised $21 million for its API that allows companies to build and facilitate fast payments.
Meanwhile, PayEm itself saw accelerated growth in the second quarter of 2021, including increasing its transaction volume by four times over the previous quarter and generating millions of dollars in revenue. It now boasts a list of hundreds of customers like Fiverr, JFrog and Next Insurance. It also launched new features like the ability to create corporate cards.
The company, which also has an office in New York, has 40 employees currently, and the new funds will enable the company to triple its headcount, focusing on hiring in the United States, and to bring additional features and payment capabilities to market.
“Each person can have a budget and a time frame for making the purchase, while accounting still feels in control,” Jobani added. “Everyone now has the full context and the right budget line item.”