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Cognigy raises $44M to scale its enterprise-focused conversational AI platform
Artificial intelligence is becoming an increasingly common part of how customer service works — a trend that was accelerated in this past year as so many other services went virtual and digital — and today a startup that has built a set of low-code tools to help enterprises integrate more AI into their customer service processes is announcing some funding to fuel its growth.
Cognigy, which provides a low-code conversational AI platform that notably can be used flexibly across a range of applications and geographies — it supports 120 languages; it can be used in external or internal service applications; it can support voice services but also chatbots; it provides real-time assistance for human agents and usage analytics or fully automated responses; it can integrate with standard call center software, and also with RPA packages; and it can be run in the cloud or on-premise — has closed a round of $44 million, funding that it will be using to continue scaling its business internationally.
Insight Partners is leading the Series B investment, with previous backers DN Capital, Global Brain, Nordic Makers, Inventures and Digital Innovation and Growth also participating. The Dusseldorf-based company had previously only raised $11 million and spent the first several years of business bootstrapped.
Cognigy is not disclosing its valuation but it has up to now built up a concentration of customers in areas like transportation, e-commerce and insurance and counts a number of big multinational companies among its customer list, including Lufthansa, Mobily, BioNTech, Vueling Airlines, Bosch and Daimler, with “thousands” of virtual assistants now powered by Cognigy live in the market.
With 25% of Cognigy’s business already coming from the U.S., the plan now is to use some funding to invest in building out its service deeper into the U.S., Asia and across more of Europe, CEO and founder Philipp Heltewig said in an interview.
“Conversational AI” these days appears in many guises: it can be a chatbot you come across on a website when you’re searching for something, or it can be prompts provided to agents or salespeople, information and real-time feedback to help them do their jobs better. Conversational AI can also be a personal assistant on your company’s HR application to help you book time off or deal with any number of other administrative jobs, or a personal assistant that helps you use your phone or set your house alarm.
There are a number of companies in the tech world that have built tools to address these various use cases. Specifically in the area of services aimed at enterprises, some of them, like Gong, are raising huge money right now. What is notable about Cognigy is that it has built a platform that is attempting to address a wide swathe of applications: one platform, many uses, in other words.
Cognigy’s other selling point is that it is playing into the new interest in low- and no-code tools, which in Cognigy’s case makes the integration of AI into a customer assistance process a relatively easy task, something that can be built not just by developers, but data scientists, those working directly on conversation design, and nontechnical business users using the tools themselves.
“The low-code platform helps enterprises adopt what is otherwise complex technology in an easy and flexible way, whether it is a customer or employee contact center,” said Heltewig. As you might expect, there are some direct competitors in the low- and no-code conversational AI space, too, including Ada, Talkie, Snaps and more.
Flexibility seems to be the order of the day for enterprises, and also the companies building tools for them: it means that a company can grow into a larger customer, and that in theory Cognigy will also evolve the platform based on what its customers need. As one example, Heltewig pointed out that a number of its customers are — contrary to the beating drum and march you see every day toward cloud services — running a fair number of applications on-premises, since this appears to be a key way to ensure the security of the customer data that they handle.
“Lufthansa could never run its customer services in the cloud because they handle a lot of sensitive data and they want full ownership of it,” he noted. “We can run cloud services and have a full offering for those who want it, but many large enterprises prefer to run their services on premises.”
Teddie Wardi, an MD at Insight, is joining the board with this round. “We are thrilled to be leading Cognigy’s Series B as the company continues on their ScaleUp journey,” he said in a statement. “Evident by their strong customer retention, Cognigy has created an essential product for global businesses to improve their customer experience in an efficient and effortless manner. With the new funding, Cognigy will be able to expand their leadership position to reach new markets and acquire more customers.”
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Pathlight, a performance management tool for customer-facing teams and the individuals in them, raises $25M
The longer we continue to work with either all or part of our teams in remote, out-of-physical-office environments, the more imperative it becomes for those teams to have some tools in place to keep the channels of communication and management open, and for the individuals in those teams to have a sense of how well they are performing. Today, one of the startups that provides a team productivity app with that in mind is announcing a round of funding to fuel its growth.
Pathlight, which has built a performance management platform for customer-facing teams — sales, field service and support — to help managers and employees themselves track and analyze how they are doing, to coach them when and where it’s needed and to communicate updates and more, has picked up $25 million — money that it will be using to continue growing its customer base and the functionality across its app.
The funding is being led by Insight Partners, with previous backers Kleiner Perkins and Quiet Capital also participating, alongside Uncorrelated Ventures; Jeremy Stoppelman, CEO of Yelp; David Glazer, CFO of Palantir; and Michael Ovitz, co-founder of CAA and owner of Broad Beach Ventures. Pathlight has now raised $35 million.
Pathlight today provides users with a range of tools to visualize team and individual performance across various parameters set by managers, using data that teams integrate from other platforms like Salesforce, Zendesk and Outreach, among others.
Using that data and specific metrics for the job in question, managers can then initiate conversations with individuals to focus on specific areas where things need attention, and provide some coaching to help fix it. It can also be used to provide team-wide updates and encouragement, which sits alongside whatever other tools a person might use in their daily customer-facing work.
Since launching in March 2020, the startup has picked up good traction, with customers including Twilio, Earnin, Greenhouse and CLEAR. But perhaps even more importantly, the pandemic and resulting switch to remote work has underscored how necessary tools like Pathlight’s have become: The startup says that engagement on its platform has shot up 300% in the last 12 months.
Alexander Kvamme, the CEO of Pathlight, said that he first became aware of the challenges of communicating across customer-facing teams, and having transparency on how they are doing as individuals and as a group, when he was at Yelp. Yelp had acquired his startup, reservations service SeatMe, and used the acquisition to build and run Yelp Reservations.
He was quick to realize that there weren’t really effective tools for him to see how individuals in the sales team were doing, how they were doing compared to goals the company wanted to achieve and based on the sales data they already had in other systems, how to work more effectively with people to communicate when something needed changing, and how to tailor all that in line with new variations in the formula — in their case, how to sell new products like a reservations service alongside advertising and other Yelp services for businesses.
“Whether it’s five or 3,000 people, the problem doesn’t go away,” he said. “Everyone uses their own systems, and it hurts front-line employees when they don’t know how they are doing, or don’t get recognition when they are doing well, or don’t get coaching when they are not. Our thesis was that if software is eating the world, and you as a company are buying more software and analytics, over time managers will be more like data analysts. So we are providing a way for managers to be more data-driven.”
Five years down the line, Kvamme got the bug again to start a company and decided to return to that problem, teaming up with co-founder Trey Doig, the engineer who designed SeatMe and then turned it into Yelp Reservations and is now Pathlight’s CTO.
As they see it, the challenge has still not really been addressed. That’s not to say that there are not a number of companies — competitors to Pathlight — looking to fill that gap as well. Another people management platform called Lattice last year picked up $45 million (I’m guessing it will be raising money again around about now); HubSpot, Zoho, SalesLoft and a number of others also are taking different approaches to the same challenge: front-line customer-facing people spend the majority of their time and attention on interacting with people, and so there need to be better tools in place to help them figure out how to make that communication more effective, figure out what is working and what is not.
And all of this, of course, is not at all new: It’s not like we all woke up one day and suddenly wanted to know how we are doing at work, or managers suddenly felt they needed to communicate with staff.
What has changed, however, is how we work: Many of us have not seen the inside of our offices for more than a year at this point, and for a large proportion of us, we may never return again, or if we do it will be under different circumstances.
All of this means that some of the more traditional metrics and indicators of our performance, praising, management relationships and learning from teammates simply is not there anymore.
In customer-facing areas like sales, support and field service, that lack of contact may be even more acute, since many of the teams working in these environments have long relied on huddles and communication throughout the day, week and month to continuously tweak work and improve it. So while tools like Pathlight’s will be useful as data analytics provision for teams regardless of how we work, it can be argued that they are even more important right now.
“I think people have started to realize that if you can empower front line to be more independent, your numbers will go up and do better,” Kvamme said.
This is part of what went into the investment decision made here.
“With the acceleration of digital transformation across the enterprise, it’s not enough to rethink the way we work — we must also rethink the way we manage,” said Jeff Lieberman, MD at Insight Partners. “Pathlight is ushering in a new age of data-driven management, an ethos that we believe every enterprise will need to embrace — quickly. We are excited to partner with the Pathlight team as they bring their powerful platform to companies across the world.”
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Assembled, an operating system for support teams, raises $16.6M
From the point of view of a consumer, customer service sometimes feels like a monolith, but behind the scenes it can be a very fragmented business, with dozens of companies providing various different tools to help agents do their jobs.
Today, a startup founded by three Stripe alums that has set out to build a platform that helps organizations manage that spaghetti of customer service IT, and use it more efficiently, is announcing a round of funding to continue growing its business.
Assembled, which has built a platform that it describes as the “operating system” for support teams, has raised $16.6 million, a Series A that it plans to use to continue expanding its team and platform, and to bring on more customers.
The round is being led by Emergence Capital, the VC that specializes in enterprise startups, backing other communications-centric companies in its time like Salesforce, Zoom, Yammer, ServiceMax, SalesLoft and Lithium. Stripe, Basis Set Ventures and Felicis Ventures also participated. Stripe has a strong connection to Assembled. It is a customer. It led Assembled’s $3.1 million seed round a year ago.
And, it was the company where the three co-founders met and built the earliest version of the product it offers today. CEO Brian Sze was one of the first employees, overseeing business operations, where he built the customer support platform that inspired him to eventually leave to found Assembled. His two co-founders, brothers Ryan and John Wang, were engineers at the payments and financial services behemoth.
Assembled’s current platform is priced in tiers starting at $15 per agent per month. Integrating with Salesforce, Zendesk, Intercom, Kustomer, Gladly and other services by way of API integrations, it provides not just a way to manage and view customer support data from different sources in one place, but alongside that it provides tools focused on the support teams themselves. This includes tools to manage and roster teams, analyze team performance, and forecast demand depending on different factors in order to be better prepared.
As with all other aspects of how organizations work, customer service and people management are being digitally transformed. Typically, Sze said that many companies still use spreadsheets to manage and plan customer support rosters. That is now gradually shifting into what he describes as “support ops” where a strategic person is tasked not just with handling what is happening with incoming customer support right now, but also needs to figure out what will happen in the next year, and the tools that might help cope with that. “That is our emergent buyer,” Sze said.
“The sheer number of channels being supported is much bigger, when you consider email, messaging, phone lines, social media and more,” said Sze, adding that the pandemic had a particularly strong effect on Assembled’s business. It saw a big bump in especially in Q3 of last year, when its customer base doubled. “I think it came down to support being one of the most critical teams at the organization.”
Assembled today has a number of tech companies, and tech-first consumer companies as customers, including Stripe, GoFundMe, challenger bank Monzo, Google-owned Looker, D2C clothing brand Everlane and Harrys. It has grown customers five-fold in the last year, said Sze, while revenues have grown 300% (absolute numbers for both were not disclosed).
The concept of an “operating system” for customer support makes a lot of sense when you think about how the role has evolved over the years.
In the decades before the internet and digital interactions became the norm, support either focused on in-person visits, or phone-based interactions where you might find yourself calling toll-free numbers, sitting on hold for a long time, maybe being shuffled from one person to another depending on the nature of your issue.
Over time, those systems picked up some automated responses and companies started getting better systems in place to triage those calls. Then, as marketing became “marketing tech” and sales took on a software life of its own, those customer support people started to pick up more responsibilities, not just listening to customers but turning around and offering to sell them things, too, or take stock of customer satisfaction and overall sentiment. Then more channels for connecting came with the internet. Then came more efficient tools, cloud-based services, mobile services, and more to handle all of the above, and so on.
All of these iterations often came with different pieces of software, and while some companies have set out to build one-stop shops to take everything on, Assembled takes a Slack-like approach, making it easy to bring in data and manage different tools from one place, providing a place to bring them all together to help them work more harmoniously. At the same time, it provides a way to manage the teams of people who are there to work with those pieces of software. This is because, when it comes to customer support, it’s always as much about the teams running it as it is the software they are using (hence: “assmebled”).
The company’s approach has been especially relevant in the last year. Not only have teams — including customer service teams — been forced to work remotely, but they have generally seen a surge of traffic from customers who are going online for all of their services, and using digital tools when they need to get in touch with organizations. Still, the opportunity for Assembled is that by and large, there are still a large proportion of businesses that are still playing catch up here.
“Today’s customer support teams operate in a dynamic, increasingly remote environment vastly different from that of a decade ago,” said Jake Saper, Emergence General Partner, in a statement. “But it’s shocking to learn how many support teams are still operating out of spreadsheets. At Emergence, we believe that Support Ops will become a critical complement to support teams, much like DevOps has become for developers. Having initially built their product to manage Stripe’s support function, we believe the Assembled team is the world’s best to build the core operating platform for Support Ops.”
Valuation is not being disclosed.
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Brands that hyper-personalize will win the next decade
A digital marketing and customer experience leader, Evan Kohn is chief business officer at Pypestream, where he created PypePro, an AI onboarding methodology used by Fortune 500 firms.
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When people reach out to customer service, they’re seeking more than a solution to their immediate problem. They want empathy and understanding. What they’re often met with is a queue.
Nothing frustrates people more than calling customer support and getting stuck in a loop. According to a study by Vonage, 61% of consumers feel interactive voice response (IVR) actively poisons the customer experience — and only 13% found it more helpful than calling a human directly.
Like many solutions, IVR falls short in personalizing the customer experience (CX). A customer calls in for a specific task like paying a bill and instead cycles through a one-size-fits-all menu that in reality fits nobody. Experiences like this clearly indicate to customers a brand doesn’t care about them as a person, only as a case number.
Personalizing the experience is a start, but this isn’t the end. Customers will expect a one-on-one interaction the moment they enter your customer service channel. To make that happen, AI and analytics are creating scalable opportunities to show your customers how much they matter to you. Brands taking advantage of that opportunity can create unrivaled CX that sets them far ahead of their competition.
The personalization buzzword
Personalization has become a popular buzzword in recent years, but true personalization is much harder to attain than many companies realize. That was the case in 2016 when companies first hopped on the chat bandwagon. The potential for a new communication method was there, but the one-size-fits-all approach companies took in developing their interaction platforms created more problems for customers than it solved.
What they missed is how to create digital experiences in which customers converse with automation that adapts based on user context. Information like their product or service history and preferences should be pulled up the moment a customer engages. Data on disposition, tone, sentiment and stated intent should influence how the customer moves through the system and reaches their desired end goal. That navigation should be effortless and go well beyond text-based communications, including immersive UX options like maps, surveys, carousel selections and more — all in a spirit of lowering the cognitive weight for the customer.
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The best investment every digital brand can make during the COVID-19 pandemic
Steve Tan
Contributor
Contributor
Steve Tan is a Singapore-based serial entrepreneur and full-stack digital marketer with over 14 years of hands-on experience who is also the CEO and founder of Super Tan Brothers Pte. Ltd, which operates e-commerce, software, logistics, marketing, educational and investment companies around the globe.
Intuitively, stores that sell online should be making a killing during the COVID-19 pandemic. After all, everyone is stuck at home — and understandably more willing to shop online instead of at a traditional retailer to avoid putting themselves and others at medical risk. But the truth is, most smaller online stores have seen better days.
The primary challenge is that smaller shops often don’t have the logistics networks that companies like Amazon do. Consequently, they’re seeing substantially delayed delivery timelines, especially if they ship internationally. Customers obviously aren’t thrilled about that reality. And in many cases, they’re requesting refunds at a staggering rate.
I saw this play out firsthand in April. At that point, my stores were down 20% or in some cases even 30% in revenue. Needless to say, my team was freaking out. But there’s one thing we did that helped us increase our revenue over 200% since the pandemic, decrease refund requests and even strengthen our existing customer relationships.
We implemented a 24-hour live chat in all of our stores. Here’s why it worked for us and why every digital brand should be doing it too.
Avoid the common ‘unreachability’ frustration
When I started my first online store in 2006, challenges that bogged my team down often meant that my team’s first priority became resolving those challenges so that we could serve our customers faster. But admittedly, when these challenges came up, it became more difficult to balance communicating with our customers and resolving the issues that prevented us from fulfilling their orders quickly.
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Directly, which taps experts to train chatbots, raises $11M, closes out Series B at $51M
Directly, a startup whose mission is to help build better customer service chatbots by using experts in specific areas to train them, has raised more funding as it opens up a new front to grow its business: APIs and a partner ecosystem that can now also tap into its expert network. Today Directly is announcing that it has added $11 million to close out its Series B at $51 million (it raised $20 million back in January of this year, and another $20 million as part of the Series B back in 2018).
The funding is coming from Triangle Peak Partners and Toba Capital, while its previous investors in the round included strategic backers Samsung NEXT and Microsoft’s M12 Ventures (who are both customers, alongside companies like Airbnb), as well as Industry Ventures, True Ventures, Costanoa Ventures and Northgate. (As we reported when covering the initial close, Directly’s valuation at that time was at $110 million post-money, and so this would likely put it at $120 million or higher, given how the business has expanded.)
While chatbots have now been around for years, a key focus in the tech world has been how to help them work better, after initial efforts saw so many disappointing results that it was fair to ask whether they were even worth the trouble.
Directly’s premise is that the most important part of getting a chatbot to work well is to make sure that it’s trained correctly, and its approach to that is very practical: find experts both to troubleshoot questions and provide answers.
As we’ve described before, its platform helps businesses identify and reach out to “experts” in the business or product in question, collect knowledge from them, and then fold that into a company’s AI to help train it and answer questions more accurately. It also looks at data input and output into those AI systems to figure out what is working, and what is not, and how to fix that, too.
The information is typically collected by way of question-and-answer sessions. Directly compensates experts both for submitting information as well as to pay out royalties when their knowledge has been put to use, “just as you would in traditional copyright licensing in music,” its co-founder Antony Brydon explained to me earlier this year.
It can take as little as 100 experts, but potentially many more, to train a system, depending on how much the information needs to be updated over time. (Directly’s work for Xbox, for example, used 1,000 experts but has to date answered millions of questions.)
Directly’s pitch to customers is that building a better chatbot can help deflect more questions from actual live agents (and subsequently cut operational costs for a business). It claims that customer contacts can be reduced by up to 80%, with customer satisfaction by up to 20%, as a result.
What’s interesting is that now Directly sees an opportunity in expanding that expert ecosystem to a wider group of partners, some of which might have previously been seen as competitors. (Not unlike Amazon’s AI powering a multitude of other businesses, some of which might also be in the market of selling the same services that Amazon does).
The partner ecosystem, as Directly calls it, use APIs to link into Directly’s platform. Meya, Percept.ai, and SmartAction — which themselves provide a range of customer service automation tools — are three of the first users.
“The team at Directly have quickly proven to be trusted and invaluable partners,” said Erik Kalviainen, CEO at Meya, in a statement. “As a result of our collaboration, Meya is now able to take advantage of a whole new set of capabilities that will enable us to deliver automated solutions both faster and with higher resolution rates, without customers needing to deploy significant internal resources. That’s a powerful advantage at a time when scale and efficiency are key to any successful customer support operation.”
The prospect of a bigger business funnel beyond even what Directly was pulling in itself is likely what attracted the most recent investment.
“Directly has established itself as a true leader in helping customers thrive during these turbulent economic times,” said Tyler Peterson, Partner at Triangle Peak Partners, in a statement. “There is little doubt that automation will play a tremendous role in the future of customer support, but Directly is realizing that potential today. Their platform enables businesses to strike just the right balance between automation and human support, helping them adopt AI-powered solutions in a way that is practical, accessible, and demonstrably effective.”
In January, Mike de la Cruz, who took over as CEO at the time of the funding announcement, said the company was gearing up for a larger Series C in 2021. It’s not clear how and if that will be impacted by the current state of the world. But in the meantime, as more organizations are looking for ways to connect with customers outside of channels that might require people to physically visit stores, or for employees to sit in call centres, it presents a huge opportunity for companies like this one.
“At its core, our business is about helping customer support leaders resolve customer issues with the right mix of automation and human support,” said de la Cruz in a statement. “It’s one thing to deliver a great product today, but we’re committed to ensuring that our customers have the solutions they need over the long term. That means constantly investing in our platform and expanding our capabilities, so that we can keep up with the rapid pace of technological change and an unpredictable economic landscape. These new partnerships and this latest expansion of our recent funding round have positioned us to do just that. We’re excited to be collaborating with our new partners, and very thankful to all of our investors for their support.”
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Kustomer acquires Reply.ai to enhance chatbots on its CRM platform
Last December, when CRM startup Kustomer was announcing its latest round of funding — a $60 million round led by Coatue — its co-founder and CEO Brad Birnbaum said it would use some of the money to build more RPA-style automations into its platform to expand KustomerIQ, its AI-based product that helps understand and respond to customer enquiries to take some of the more repetitive load off of agents. Today, Kustomer is announcing some M&A that will help in that strategy: it is acquiring Reply.ai, a startup originally founded in Madrid that has built a code-free platform for companies to create customised chatbots to handle customer service enquires that use machine learning to, over time, become better at responding to those inbound contacts.
Kustomer, which has raised more than $170 million and is now valued at $710 million (per PitchBook), said it is not disclosing the financial terms of the deal.
Reply .ai — whose customers include Coca-Cola, Starbucks, Samsung, and a number of retailers and major ad and marketing agencies working on behalf of clients — had by comparison raised a modest $4 million in funding (with the last round back in 2018). Its list of investors included strategic backers like Aflac and Westfield (the shopping mall giant), as well as Seedcamp, Madrid’s JME Ventures, and Y Combinator, where Reply.ai was a part of its Startup School cohort in 2017.
Birnbaum said that the conversation for acquiring Reply.ai started before the global health pandemic — the two already worked together, as part of Reply.ai’s integrations with a number of CRM platforms. But active discussions, due diligence, and the closing of the deal were all done over Zoom. “We were fortunate that we got to meet before corona, but for the most part we did this remotely,” he said.
Reply.ai was founded back in 2016 — the year when chatbots suddenly became all the rage — and it managed to make it through that and then the subsequent trough of disillusionment, when a lot of the early novelty wore off after they were discovered to be not quite as effective as many had hoped or assumed they would be. One of the reasons for Reply.ai’s survival was that it had proven to be a builder of effective applications in one of the only segments of the market to become a willing customer and user of chatbots: customer service.
While a large part of the CRM industry — estimated to be worth some $40 billion in 2019 — is still based around human interactions, there has been a growing push to leverage advances in AI, cloud services, and use of the internet as a point of interaction to bring more automation into the process, both to help those who are agents deal with more tricky issues, and to help bring overall costs down for those who rely on customer support as part of their service proposition.
That trend, if anything, is only getting a boost right now. In some cases, agents are unable to work because of social distancing rules in cases where customer queries cannot be handled by remote workers. In others, companies are seeing a lot of financial pressure and are looking to reduce expenses. But at the same time, with more people at home and unable to make physical queries at stores, the whole medium of customer support is seeing new levels of usage.
Kustomer has been taking on the bigger names in CRM, including Salesforce (where Birnbaum and his cofounder Jeremy Suriel previously worked), Zendesk and Oracle, by providing a platform that makes it easier for human agents to handle inbound “omnichannel” customer requests — another big trend, leveraging the rise of multiple messaging and communications platforms as potential routes to both speaking to customers and seeing them complain for all the world to see. So moving deeper into chatbots and other AI-powered tools is a natural progression.
Birnbaum said that one of its key interests with Reply.ai was its focus on “deflection” — the term for using non-human tools and services to help resolve inbound requests before needing to call in a human agent. Reply.ai’s tools have been shown to help deflect 40% of initial inbound queries, he noted.
“Some companies have been dealing with a significant increase in inbound volume, and it’s been hard to scale their teams of agents, especially when they are remote,” he said. “So those companies are looking for ways to respond more rapidly. So anything they can do to help with that deflection and let their agents be more productive to drive higher levels of satisfaction, anything that can enable self-service, is what this is about.”
Other tools in the Reply toolkit, in addition to its chatbot-building platform and deflection capabilities, include agent-assistant tools for suggesting relevant answers, as well as suggestions for tagging (for analytics) and re-routing.
“We are excited for Reply to join Kustomer and share its mission to make customer service more efficient, effective and personalized,” said Omar Pera, one of Reply.ai’s founders, in a statement. “As a long-time partner of Kustomer, we are able to seamlessly integrate our deflection and chatbots technologies into Kustomer’s platform and help brands more cost-effectively increase efficiency. We look forward to working with Brad and the entire team.”
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Kaizo raises $3M for its AI-based tools to improve customer service support teams
CRM has for years been primarily a story of software to manage customer contacts, data to help agents do their jobs, and tools to manage incoming requests and outreach strategies. Now to add to that we’re starting to see a new theme: apps to help agents track how they work and to work better.
Today comes the latest startup in that category, a Dutch company called Kaizo, which uses AI and gamification to provide feedback on agents’ work, tips on what to do differently, and tools to set and work to goals — all of which can be used remotely, in the cloud. Today, it is announcing $3 million in a seed round of funding co-led by Gradient — Google’s AI venture fund — and French VC Partech.
And along with the seed round, Kaizo (which rebranded last week from its former name, Ticketless) is announcing that Christoph Auer-Welsbach, a former partner at IBM Ventures, is joining the company as a co-founder, alongside founder Dominik Blattner.
Although this is just a seed round, it’s coming after a period of strong growth for the company. Kaizo has already 500 companies including Truecaller, SimpleSurance, Miro, CreditRepairCloud, Justpark, Festicket and Nmbrs are using its software, covering “thousands” of customer support agents, which use a mixture of free and paid tools that integrate with established CRM software from the likes of Salesforce, Zendesk and more.
Customer service, and the idea of gamifying it to motivate employees, might feel like the last thing on people’s minds at the moment, but it is actually timely and relevant to our current state in responding to and living with the coronavirus.
People are spending much more time at home, and are turning to the internet and remote services to get what they need, and in many cases are finding that their best-laid plans are now in freefall. Both of these are driving a lot of traffic to sites and primarily customer support centers, which are getting overwhelmed with people reaching out for help.
And that’s before you consider how customer support teams might be impacted by coronavirus and the many mandates we’ve had to stay away from work, and the stresses they may be under.
“In our current social climate, customer support is an integral part of a company’s stability and growth that has embraced remote work to meet the demands of a globalized customer-base,” said Dominik Blattner, founder of Kaizo, in a statement. “With the rise of support teams utilizing a digital workplace, providing standards to measure an agent’s performance has never been more important. KPIs provide these standards, quantifying the success, achievement and contribution of each team member.”
On a more general level, Kaizo is also changing the conversation around how to improve one’s productivity. There has been a larger push for “quantified self” platforms, which has very much played out both in workplaces and in our personal lives, but a lot of services to track performance have focused on both managers and employees leaning in with a lot of input. That means if they don’t set aside the time to do that, the platforms never quite work the way they should.
This is where the AI element of Kaizo plays a key role, by taking on the need to proactively report into a system.
“This is how we’re distinct,” Auer-Welsbach said in an interview. “Normally KPIs are top-down. They are about people setting goals and then reporting they’ve done something. This is a bottom-up approach. We’re not trying to change employees’ behaviour. We plug into whatever environment they are using, and then our tool monitors. The employee doesn’t have to report or measure anything. We track clicks on the CRM, ticketing, and more, and we analyse all that.” He notes that Kaizo is looking at up to 50 datapoints in its analysis.
“We’re excited about Kaizo’s novel approach to applying AI to existing ticket data from platforms like Zendesk and Salesforce to optimize the customer support workflow,” said Darian Shirazi, General Partner at Gradient Ventures, in a statement. “Using machine learning, Kaizo understands which behaviors in customer service tickets lead to better outcomes for customers and then guides agents to replicate that using ongoing game mechanics. Customer support and service platforms today are failing to leverage data in the right way to make the life of agents easier and more effective. The demand Kaizo has seen since they launched on the Zendesk Marketplace shows agents have been waiting for such a solution for some time.”
Kaizo is not the only startup to have identified the area of building new services to improve the performance of customer support teams. Assembled earlier this month also raised $3.1 million led by Stripe for what it describes as the “operating system” for customer support.
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Assembled raises $3.1M led by Stripe to build ‘the operating system for support teams’
CRM software accounts for one-quarter of all enterprise IT spend. But ironically, while a lot of money is spent on platforms like Salesforce or SAP to manage incoming calls and outgoing marketing and sales activity, not a lot of attention is given to the issue of how to help the teams using all that software work better.
What are the peak times for calls? What are the most common questions? Which staff are best skilled at what kinds of questions? And who is actually working at any given time? These are just some of the issues, but in many cases, there isn’t much in the way of tools used to help with these at all — organisations often just hack a spreadsheet platform like Google Sheets or a calendar app to get by, or do nothing at all.
Today, a startup called Assembled is coming out of stealth mode to address that gap in the market, with a platform that’s built specifically to address the kinds of questions and issues that customer support teams encounter and — answered well — can help them work much better.
Out of the gate, Assembled is announcing $3.1 million in seed funding led by Stripe — where the founding team previously worked — with participation also from Basis Set Ventures, Signalfire and several angel investors (who are also mostly former Stripe employees).
Assembled’s longer-term ambition is to build tools for what co-founder Ryan Wang describes as “the logistics of customer support.”
“We want to become the operating system for support teams,” he said. Most immediately, the company’s focus will be on agent performance. “Teams want to learn about their top performers and how they spend their time, and offer data to empower their decision-making.”
Stripe — the payments and related services provider that is now valued at $35 billion — has developed a sizable operation funding startups adjacent to its own interests in cultivating relationships with startups and other smaller businesses. You could consider it a strategic investor in Assembled: alongside Grammarly, Gofundme, Hopper and Harry’s, Stripe is one of Assembled’s marquee customers.
Wang, an ex-Stripe engineer who co-founded Assembled with his brother John and Assembled’s CEO Brian Sze (both also ex-Stripe), said in an interview that the idea for the startup came directly out of the pair’s experiences as early employees at Stripe.
The approach at the startup in its early days was very grass-roots: employees would get together outside the office to go through support tickets as a way of identifying trends and to talk through them to figure out what might need fixing, how to handle issues in the future and so on.
It was probably a great way for the team to really stay in touch with what customers needed and wanted. But eventually this approach presented a problem: How do you scale this kind of process? To a tech person, the solution would be obvious: build a platform that can help you do this.
“Within the landscape of CRM, we could see that tech hadn’t really been applied to the business of supporting customer support,” Wang said. “That is why we left. We’d understood that it was a broad problem.”
A tool to help improve workforce management for customer support teams is a no-brainer for a company already trying to address these issues through its own home-baked solutions. Wang noted that one of its current customers had built out such an extensive map of data on Google Sheets trying to address customer support workforce management that “they broke Google Sheets. It was just too big.”
Indeed, Bob van Winden, Stripe’s head of operations, noted: “Millions of businesses rely on Stripe every day. To support them, we obsess over every detail of delivering fast, reliable customer service, including free 24×7 phone and chat support. This led us to Assembled, which our global support teams are using to stay coordinated and focused on helping Stripe’s users thrive.”
Less obvious is the use case when a company has never identified these issues, or sees them but haven’t made efforts to try to solve them because it seems too difficult. (The classic issues here are that Assembled is “too clever by half,” or “too ahead of its time.”) That presents both an open market for Assembled, but also a greenfield challenge.
One route to customers has been to integrate with more established CRM packages. Currently Assembled integrates with Salesforce, Kustomer and Zendesk, so that it can source data from these to provide more insights to users.
Another is to provide a set of tools that speak to the wider trend for analytics and data-based insights that can be used to improve how a company works. Indeed, just as Kustomer has disrupted the idea of a CRM being focused on a narrow funnel of inbound requests, Assembled also is rethinking how to parse data to figure out what a customer support person should be doing and when.
The startup provides a way to forecast inbound support query volumes, and to map that into staffing plans that cover multiple channels like chat, email, phone and social media. The staffing plan, in turn, also acts as a scheduling tool to set up group and single calendars for individuals.
A team’s activity, meanwhile, is tracked through a set of metrics the whole team can see and use to calibrate their work better.
Going forward, you can imagine Assembled expanding in a couple of different directions. One might be to offer workforce management to more teams beyond customer support, but that also have to work out how to manage inbound requests and turn them into more efficient work plans. Another might be to continue expanding the kinds of tools it might provide to customer support teams to continue complementing basic CRMs, in particular as customer support comes to mean different things, depending on who the “customer” actually is.
“We see the term ‘customer support’ evolving,” Wang said. “The big struggle is what the encompassing term should be instead. Generally, our view is that we want to transform and elevate what customer support means. It’s not just about call centers, but any drivers of customer experience related to your products.”
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‘The Operators’: Experts from Airbnb and Carta on building and managing your company’s customer support
Tim Hsia is the CEO of Media Mobilize and a Venture Partner at Digital Garage. Neil Devani is an angel investor and venture capitalist focused on companies solving hard problems.
Welcome to this transcribed edition of The Operators. TechCrunch is beginning to publish podcasts from industry experts, with transcriptions available for Extra Crunch members so you can read the conversation wherever you are.
The Operators features insiders from companies like Airbnb, Brex, Docsend, Facebook, Google, Lyft, Carta, Slack, Uber, and WeWork sharing their stories and tips on how to break into fields like marketing and product management. They also share best practices for entrepreneurs on how to hire and manage experts from domains outside their own.
This week’s edition features Airbnb’s Global Product Director of Customer and Community Support Platform Products, Andy Yasutake, and Carta’s Head of Enterprise Relationship Management, Jared Thomas.
Airbnb, one of the most valuable private tech companies in the world, has millions of hosts who trust strangers (guests) to come into their homes and hundreds of millions of guests who trust strangers (hosts) to provide a roof over their head. Carta, a $1 Billion+ company formerly known as eShares, is the leading provider of cap table management and valuation software, with thousands of customers and almost a million individual shareholders as users. Customers and users entrust Carta to manage their investments, a very serious responsibility requiring trust and security.
In this episode, Andy and Jared share with Neil how companies like Airbnb, Carta, and LinkedIn think about customer service, how to get into and succeed in the field and tech generally, and how founders should think about hiring and managing the customer support. With their experiences at two of tech’s trusted companies, Airbnb and Carta, this episode is packed with broad perspectives and deep insights.
Neil Devani and Tim Hsia created The Operators after seeing and hearing too many heady, philosophical podcasts about the future of tech, and not enough attention on the practical day-to-day work that makes it all happen.
Tim is the CEO & Founder of Media Mobilize, a media company and ad network, and a Venture Partner at Digital Garage. Tim is an early-stage investor in Workflow (acquired by Apple), Lime, FabFitFun, Oh My Green, Morning Brew, Girls Night In, The Hustle, Bright Cellars, and others.
Neil is an early-stage investor based in San Francisco with a focus on companies building stuff people need, solutions to very hard problems. Companies he’s invested in include Andela, Clearbit, Kudi, Recursion Pharmaceuticals, Solugen, and Vicarious Surgical.
If you’re interested in starting or accelerating your marketing career, or how to hire and manage this function, you can’t miss this episode!
The show:
The Operators brings experts with experience at companies like Airbnb, Brex, Docsend, Facebook, Google, Lyft, Carta, Slack, Uber, WeWork, etc. to share insider tips on how to break into fields like marketing and product management. They also share best practices for entrepreneurs on how to hire and manage experts from domains outside their own.
In this episode:
In Episode 5, we’re talking about customer service. Neil interviews Andy Yasutake, Airbnb’s Global Product Director of Customer and Community Support Platform Products, and Jared Thomas, Carta’s Head of Enterprise Relationship Management.
Neil Devani: Hello and welcome to the Operators, where we talk to entrepreneurs and executives from leading technology companies like Google, Facebook, Airbnb, and Carta about how to break into a new field, how to build a successful career, and how to hire and manage talent beyond your own expertise. We skip over the lofty prognostications from venture capitalists and storytime with founders to dig into the nuts and bolts of how it all works here from the people doing the real day to day work, the people who make it all happen, the people who know what it really takes. The Operators.
Today we are talking to two experts in customer service, one with hundreds of millions of individual paying customers and the other being the industry standard for managing equity investments. I’m your host, Neil Devani, and we’re coming to you today from Digital Garage in downtown San Francisco.
Joining me is Jared Thomas, head of Enterprise Relationship Management at Carta, a $1 billion-plus company after a recent round of financing led by Andreessen Horowitz. Carta, formerly known as eShares, is the leading provider of cap table management and valuation software with thousands of customers and almost a million individual shareholders as users. Customers and users trust Carta to manage their investments, a very serious responsibility requiring trust and security.
Also joining us is Andy Yasutake, the Global Product Director of Customer and Community Support Platform Products at Airbnb, one of the most valuable private tech startups today. Airbnb has millions of hosts who are trusting strangers to come into their homes and hundreds of millions of guests who are trusting someone to provide a roof over their head. The number of cases and types of cases that Andy and his team have to think about and manage boggle the mind. Jared and Andy, thank you for joining us.
Andy Yasutake: Thank you for having us.
Jared Thomas: Thank you so much.
Devani: To start, Andy, can you share your background and how you got to where you are today?
Yasutake: Sure. I’m originally from southern California. I was born and raised in LA. I went to USC for undergrad, University of Southern California, and I actually studied psychology and information systems.
Late-90s, the dot com was going on, I’d always been kind of interested in tech, went into management consulting at interstate consulting that became Accenture, and was in consulting for over 10 years and always worked on large systems of implementation of technology projects around customers. So customer service, sales transformation, anything around CRM, as kind of a foundation, but it was always very technical, but really loved the psychology part of it, the people side.
And so I was always on multiple consulting projects and one of the consulting projects with actually here in the Bay Area. I eventually moved up here 10 years ago and joined eBay, and at eBay I was the director of product for the customer services organization as well. And was there for five years.
I left for Linkedin, so another rocket ship that was growing and was the senior director of technology solutions and operations where I had all the kind of business enabling functions as well as the technology, and now have been at Airbnb for about four months. So I’m back to kind of my, my biggest passion around products and in the customer support and community experience and customer service world.
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