knowledge management

Auto Added by WPeMatico

Virtual meeting platform Vowel raises $13.5M, aims to cure meeting fatigue

Meetings are an inevitable part of the work day, but as workplaces became more distributed over the past 18 months, Vowel CEO Andy Berman says we are steadily moving toward “death by meeting.”

His virtual meeting platform is the latest to receive venture capital funding — $13.5 million — with the goal of making meetings more useful before, during and after.

Vowel is launching a meeting operating system with tools like real-time transcription; integrated agendas, notes and action items; meeting analytics; and searchable, on-demand recordings of meetings. The company has a freemium business model and will also be rolling out a business plan this fall for $16 per user per month. Extra features will include advanced integrations, security and admin controls.

The Series A was led by David Hornik of Lobby Capital, who was joined by existing investors Amity Ventures and Box Group and a group of individual investors, including Calendly CEO Tope Awotona, Intercom co-founder Des Traynor, Slack VP Ethan Eismann, former Yammer executive Viviana Faga, former InVision president David Fraga and Okta co-founder Frederic Kerrest.

Prior to starting Vowel, Berman was one of the founders of baby monitor company Nanit. The company had teams spread out around the world, and communication was tough as a result. In 2018, the company went looking for a tool that would work for synchronous and asynchronous meetings, but there were still a lot of time zones to manage, he said.

Taking a cue from Nanit’s own baby monitors that were streaming video over 17 hours a day, the idea for Vowel was born, and the company began to focus on the hypothesis that distributed work would be prevalent.

“People initially thought we were crazy, but then the pandemic hit, and everyone was learning how to work remotely,” Berman told TechCrunch. “As we now go back to hybrid work, we see this as an opportunity.”

In 2017, Harvard Business Review reported that executives spent 23 hours in meetings each week. Berman now estimates that the average worker spends half of their time each week in meetings.

Vowel is out to bring Slack, Figma and GitHub components to meetings by recording audio and video that can be paused at any time. Users can add notes and see where those notes fall within a real-time transcription that enables people who arrive late or could not make the meeting to catch up easily. After meetings are over, they can be shared, and Vowel has a search function so that users can go back and see where a particular person or topic was discussed.

The new funding will enable the company to grow its team in product, design and engineering. Vowel plans to hire up to 30 new people over the next year. The company recently closed its beta test and has amassed a 10,000-person waitlist. The public launch will happen in the fall, Berman said.

Workplace productivity and office communication tools are not new concepts, but as Berman explained, became increasingly important when homes became offices over the past 18 months.

Competitors took different approaches to solving these problems: focusing on video conferencing or audio or meeting management with plugins. Berman says an area where many have not succeeded yet is integrating meetings into the typical workflow. That’s where Vowel comes in with its “meeting OS,” he added.

“Our goal is to make meetings more inclusive and worthwhile, which includes the prep, the meeting and the follow-up,” Berman said. “We see the future will be about knowledge management, so the difference between what we are doing is ensuring you can catch up quickly and keep that knowledge base. A Garner report said that 75% of workplace meetings will be recorded by 2025, and that is a trend we are reinventing from the ground up.”

David Hornik, founding partner at Lobby Capital, said he became acquainted with Vowel from its existing investor Amity Ventures. Hornik, who sits on the GitLab board, said GitLab was one of the largest distributed companies in the tech space, prior to the pandemic, and saw first-hand the challenge of making distributed teams functionable.

When Hornik heard about Vowel, he said he “jumped quickly” on the opportunity. His firm typically invests in platform businesses that have the capacity to transform business spaces. Many are pure software, like Splunk or GitLab, while others are akin to Bill.com, which transformed how small businesses manage financial operations, he added.

All of those combine into a company, like Vowel, especially given the company’s vision for a meeting OS to transform a meeting space that hadn’t moved forward in decades, he said.

“This was quickly obvious to me because my day is meetings — an eight-Zoom day is a normal day — I just wish I could remember everything,” Hornik said. “Speaking with early customers using the product, when I asked them what they would do if this ever went away, the first thing they said was ‘cry,’ and, because there was no alternative, would return to Zoom or other tools, but it would be a big setback.”

Powered by WPeMatico

Shelf.io closes huge $52.5M Series B after posting 4x ARR growth in the last year

Covering public companies can be a bit of a drag. They grow some modest amount each year, and their constituent analysts pester them with questions about gross margin expansion and sales rep efficiency. It can be a little dull. Then there are startups, which grow much more quickly — and are more fun to talk about.

That’s the case with Shelf.io. The company announced an impressive set of metrics this morning, including that from July 2020 to July 2021, it grew its annual recurring revenue (ARR) 4x. Shelf also disclosed that it secured a $52.5 million Series B led by Tiger Global and Insight Partners.

That’s quick growth for a post-Series A startup. Crunchbase reckons that the company raised $8.2 million before its Series B, while PitchBook pegs the number at $6.5 million. Regardless, the company was efficiently expanding from a limited capital base before its latest fundraising event.

What does the company’s software do? Shelf plugs into a company’s information systems, learns from the data and then helps employees respond to queries without forcing them to execute searches or otherwise hunt for information.

The company is starting with customer service as its target vertical. According to Shelf CEO Sedarius Perrotta, Shelf can absorb information from, say, Salesforce, SharePoint, legacy knowledge management platforms and Zendesk. Then, after training models and staff, the company’s software can begin to provide support staff with answers to customer questions as they talk to customers in real time.

The company’s tech can also power responses to customer queries not aimed at a human agent and provide a searchable database of company knowledge to help workers more quickly solve customer issues.

Per Perrotta, Shelf is targeting the sales market next, with others to follow. How might Shelf fit into sales? According to the company, its software may be able to offer staff already written proposals for similar-seeming deals and other related content. The gist is that at companies that have lots of workers doing similar tasks — clicking around in Salesforce, or answering support queries, say — Shelf can learn from the activity and get smarter in helping employees with their tasks. I presume that the software’s learning ability will improve over time, as well.

Shelf, around 100 people today, hopes to double in size by the end of the year, and then double again next year.

That’s where the new capital comes in. Hiring folks in the worlds of machine learning and data science is very expensive. And because the company wants to scale those hires quickly, it will need a large bank balance to lean on.

Quick ARR growth was not the only reason Shelf was able to secure such an outsized Series B, at least when compared to how much capital it had raised before. Per Perrotta, Shelf has 130% net dollar retention and no churn to report, meaning its customers are both sticky and expand organically.

While Shelf is interesting today and has certainly found niches it can sell into in its current form, I am more curious about how far the company can take its machine learning system, called MerlinAI. If its tech can get sufficiently smart, its ability to prompt and help employees could reduce onboarding time and the overall cost of employee training. That would be a huge market.

This is the sort of deal that we expect to see Tiger in — an outsized investment (compared to prior rounds) into a high-growth company that has lots of market room. Whatever price Tiger just paid for the company’s stock, a few years of continued growth should de-risk the investment. By our read, Tiger is really just the market-leading bull on software market growth in the long term. Shelf fits into that thesis neatly.

 

Powered by WPeMatico

Video platform Kaltura adds advanced analytics

You may not be familiar with Kaltura‘s name, but chances are you’ve used the company’s video platform at some point or another, given that it offers a variety of video services for enterprises, educational institutions and video-on-demand platforms, including HBO, Phillips, SAP, Stanford and others. Today, the company announced the launch of an advanced analytics platform for its enterprise and educational users.

This new platform, dubbed Kaltura Analytics for Admins, will provide its users with features like user-level reports. This may sound like a minor feature, because you probably don’t care about the exact details of a given user’s interactions with your video, but it will allow businesses to link this kind of behavior to other metrics. With this, you could measure the ROI of a given video by linking video watch time and sales, for example. This kind of granularity wasn’t possible with the company’s existing analytics systems. Companies and schools using the product will also get access to time-period comparisons to help admins identify trends, deeper technology and geolocation reports, as well as real-time analytics for live events.

eCDN QoS dashboard

“Video is a unique data type in that it has deep engagement indicators for measurement, both around video creation — what types of content are being created by whom, as well as around video consumption and engagement with content — what languages were selected for subtitles, what hot-spots were clicked upon in video,” said Michal Tsur, president and general manager of Enterprise and Learning at Kaltura. “Analytics is a very strategic area for our customers. Both for tech companies who are building on our VPaaS, as well as for large organizations and universities that use our video products for learning, communication, collaboration, knowledge management, marketing and sales.”

Tsur also tells me the company is looking at how to best use machine learning to give its customers even deeper insights into how people watch videos — and potentially even offer predictive analytics in the long run.

Powered by WPeMatico