Slack releases Clips video tool, announces 16 Salesforce integrations

Slack has been talking about expanding beyond text-based messaging for some time. Today at Dreamforce, the Salesforce customer conference taking place this week, it announced Clips, a way to leave short video messages that people can watch at their leisure.

Slack CEO Stewart Butterfield sees Clips as a way to communicate with colleagues when a full 30 minutes meeting isn’t really required. Instead, you can let people know what’s going on through a brief video. “Clips are a way to record yourself on your screen. And the idea is that a lot of the meetings shouldn’t require us to be together in real time,” Butterfield said at a Dreamforce press event yesterday.

He added that these video clips provide more value because you can still get the point that would have been delivered in a full meeting without having to actually attend to get access to that information. What’s more, he says the videos create an audit trail of activity for archival purposes.

“It’s easily shareable with people who weren’t in attendance, but [still] get the update. It’s available in the archive, so you can go back and find the answers to questions you have or trace back the roots of a decision,” he said. It’s worth noting that Slack first introduced this idea last October, and announced an early customer beta last March, at which point they hadn’t even named it yet.

He admitted that this may require people to rethink how they work, and depending on the organization that may be harder in some places than others, but he believes that value proposition of freeing up employees to meet less and work more will eventually drive people and organizations to try it and then incorporate into the way that they work.

Clips builds on the Huddles tool released earlier this year, which is a way via audio to have serendipitous water cooler kinds of conversations, again as a way to reduce the need for a full-fledged meeting when people can get together for a few minutes, resolve an issue and get back to work. Butterfield says that Huddles has had the fastest adoption of any new capability since he first launched Slack.

In March, in a Clubhouse interview with SignalFire investor Josh Constine (who is also a former TechCrunch reporter), Butterfield said that the company was also working on a Clubhouse tool for business. The company did not announce any similar tool this week though.

The company also announced 16 integrations with Salesforce that span the entire Salesforce platform. These include the sales-focussed deal room and the customer support incident response called swarms announced earlier this month, as well as new connections to other tools in the Salesforce family of product including Mulesoft and Tableau and industry-specific integrations for banking, life sciences and philanthropy.

In case you had forgotten, Salesforce bought Slack at the end of last year in a mega deal worth almost $28 billion. Today, as part of the CRM giant, the company continues to build on the platform and product roadmap it had in place prior to the acquisition, while building in integrations all across the Salesforce platform.

Blackbird.AI grabs $10M to help brands counter disinformation

New York-based Blackbird.AI has closed a $10 million Series A as it prepares to launched the next version of its disinformation intelligence platform this fall.

The Series A is led by Dorilton Ventures, along with new investors including Generation Ventures, Trousdale Ventures, StartFast Ventures and Richard Clarke, former chief counter-terrorism advisor for the National Security Council. Existing investor NetX also participated.

Blackbird says it’ll be used to scale up to meet demand in new and existing markets, including by expanding its team and spending more on product dev.

The 2017-founded startup sells software as a service targeted at brands and enterprises managing risks related to malicious and manipulative information — touting the notion of defending the “authenticity” of corporate marketing.

It’s applying a range of AI technologies to tackle the challenge of filtering and interpreting emergent narratives from across the Internet to identify disinformation risks targeting its customers. (And, for the record, this Blackbird is no relation to an earlier NLP startup, called Blackbird, which was acquired by Etsy back in 2016.)

Blackbird AI is focused on applying automation technologies to detect malicious/manipulative narratives — so the service aims to surface emerging disinformation threats for its clients, rather than delving into the tricky task of attribution. On that front it’s only looking at what it calls “cohorts” (or “tribes”) of online users — who may be manipulating information collectively, for a shared interest or common goal (talking in terms of groups like antivaxxers or “bitcoin bros”). 

Blackbird CEO and co-founder Wasim Khaled says the team has chalked up five years of R&D and “granular model development” to get the product to where it is now. 

“In terms of technology the way we think about the company today is an AI-driven disinformation and narrative intelligence platform,” he tells TechCrunch. “This is essentially the efforts of five years of very in-depth, ears to the ground research and development that has really spanned people everywhere from the comms industry to national security to enterprise and Fortune 500,  psychologists, journalists.

“We’ve just been non-stop talking to the stakeholders, the people in the trenches — to understand where their problem sets really are. And, from a scientific empirical method, how do you break those down into its discrete parts? Automate pieces of it, empower and enable the individuals that are trying to make decisions out of all of the information disorder that we see happening.”

The first version of Blackbird’s SaaS was released in November 2020 but the startup isn’t disclosing customer numbers as yet. v2 of the platform will be launched this November, per Khaled. 

Also today it’s announcing a partnership with PR firm, Weber Shandwick, to provide support to customers on how to respond to specific malicious messaging that could impact their businesses and which its platform has flagged up as an emerging risk.

Disinformation has of course become a much labelled and discussed feature of online life in recent years, although it’s hardly a new (human) phenomenon. (See, for example, the orchestrated airbourne leaflet propaganda drops used during war to spread unease among enemy combatants and populations). However it’s fair to say that the Internet has supercharged the ability of intentionally bad/bogus content to spread and cause reputational and other types of harms.

Studies show the speed of online travel of ‘fake news’ (as this stuff is sometimes also called) is far greater than truthful information. And there the ad-funded business models of mainstream social media platforms are implicated since their commercial content-sorting algorithms are incentivized to amplify stuff that’s more engaging to eyeballs, which isn’t usually the grey and nuanced truth.

Stock and crypto trading is another growing incentive for spreading disinformation — just look at the recent example of Walmart targeted with a fake press release suggesting the retailer was about to accept litecoin.

All of which makes countering disinformation look like a growing business opportunity.

Earlier this summer, for example, another stealthy startup in this area, ActiveFence, uncloaked to announce a $100M funding round. Others in the space include Primer and Yonder (previously New Knowledge), to name a few.

 

While some other earlier players in the space got acquired by some of the tech giants wrestling with how to clean up their own disinformation-ridden platforms — such as UK-based Fabula AI, which was bought by Twitter in 2019.

Another — Bloomsbury AI — was acquired by Facebook. And the tech giant now routinely tries to put its own spin on its disinformation problem by publishing reports that contain a snapshot of what it dubs “coordinated inauthentic behavior” that it’s found happening on its platforms (although Facebook’s selective transparency often raises more questions than it answers.)

The problems created by bogus online narratives ripple far beyond key host and spreader platforms like Facebook — with the potential to impact scores of companies and organizations, as well as democratic processes.

But while disinformation is a problem that can now scale everywhere online and affect almost anything and anyone, Blackbird is concentrating on selling its counter tech to brands and enterprises — targeting entities with the resources to pay to shrink reputational risks posed by targeted disinformation.

Per Khaled, Blackbird’s product — which consists of an enterprise dashboard and an underlying data processing engine — is not just doing data aggregation, either; the startup is in the business of intelligently structuring the threat data its engine gathers, he says, arguing too that it goes further than some rival offerings that are doing NLP (natural language processing) plus maybe some “light sentiment analysis”, as he puts it.

Although NLP is also key area of focus for Blackbird, along with network analysis — and doing things like looking at the structure of botnets.

But the suggestion is Blackbird goes further than the competition by merit of considering a wider range of factors to help identify threats to the “integrity” of corporate messaging. (Or, at least, that’s its marketing pitch.)

Khaled says the platform focuses on five “signals” to help it deconstruct the flow of online chatter related to a particular client and their interests — which he breaks down thusly: Narratives, networks, cohorts, manipulation and deception. And for each area of focus Blackbird is applying a cluster of AI technologies, according to Khaled.

But while the aim is to leverage the power of automation to tackle the scale of the disinformation challenge that businesses now face, Blackbird isn’t able to do this purely with AI alone; expert human analysis remains a component of the service — and Khaled notes that, for example, it can offer customers (human) disinformation analysts to help them drill further into their disinformation threat landscape.

“What really differentiates our platform is we process all five of these signals in tandem and in near real-time to generate what you can think of almost as a composite risk index that our clients can weigh, based on what might be most important to them, to rank the most important action-oriented information for their organization,” he says.

“Really it’s this tandem processing — quantifying the attack on human perception that we see happening; what we think of as a cyber attack on human perception — how do you understand when someone is trying to shift the public’s perception? About a topic, a person, an idea. Or when we look at corporate risk, more and more, we see when is a group or an organization or a set of accounts trying to drive public scrutiny against a company for a particular topic.

“Sometimes those topics are already in the news but the property that we want our customers or anybody to understand is when is something being driven in a manipulative manner? Because that means there’s an incentive, a motive, or an unnatural set of forces… acting upon the narrative being spread far and fast.”

“We’ve been working on this, and only this, and early on decided to do a purpose-built system to look at this problem. And that’s one of the things that really set us apart,” he also suggests, adding: “There are a handful of companies that are in what is shaping up to be a new space — but often some of them were in some other line of work, like marketing or social and they’ve tried to build some models on top of it.

“For bots — and for all of the signals we talked about — I think the biggest challenge for many organizations if they haven’t completely purpose built from scratch like we have… you end up against certain problems down the road that prevent you from being scalable. Speed becomes one of the biggest issues.

“Some of the largest organizations we’ve talked to could in theory product the signals — some of the signals that I talked about before — but the lift might take them ten to 12 days. Which makes it really unsuited for anything but the most forensic reporting, after things have kinda gone south… What you really need it in is two minutes or two seconds. And that’s where — from day one — we’ve been looking to get.”

As well as brands and enterprises with reputational concerns — such as those whose activity intersects with the ESG space; aka ‘environmental, social and governance’ — Khaled claims investors are also interested in using the tool for decision support, adding: “They want to get the full picture and make sure they’re not being manipulated.”

At present, Blackbird’s analysis focuses on emergent disinformation threats — aka “nowcasting” — but the goal is also to push into disinformation threat predictive — to help prepare clients for information-related manipulation problems before they occur. Albeit there’s no timeframe for launching that component yet.

“In terms of counter measurement/mitigation, today we are by and large a detection platform, starting to bridge into predictive detection as well,” says Khaled, adding: “We don’t take the word predictive lightly. We don’t just throw it around so we’re slowly launching the pieces that really are going to be helpful as predictive.

“Our AI engine trying to tell [customers] where things are headed, rather than just telling them the moment it happens… based on — at least from our platform’s perspective — having ingested billions of posts and events and instances to then pattern match to something similar to that that might happen in the future.”

“A lot of people just plot a path based on timestamps — based on how quickly something is picking up. That’s not prediction for Blackbird,” he also argues. “We’ve seen other organizations call that predictive; we’re not going to call that predictive.”

In the nearer term, Blackbird has some “interesting” counter measurement tech to assist teams in its pipeline, coming in Q1 and Q2 of 2022, Khaled adds.

Fivetran hauls in $565M on $5.6B valuation, acquires competitor HVR for $700M

Fivetran, the data connectivity startup, had a big day today. For starters it announced a $565 million investment on a $5.6 billion valuation, but it didn’t stop there. It also announced its second acquisition this year, snagging HVR, a data integration competitor that had raised more than $50 million, for $700 million in cash and stock.

The company last raised a $100 million Series C on a $1.2 billion valuation, increasing the valuation by over 5x. As with that Series C, Andreessen Horowitz was back leading the round, with participation from other double dippers General Catalyst, CEAS Investments, Matrix Partners and other unnamed firms or individuals. New investors ICONIQ Capital, D1 Capital Partners and YC Continuity also came along for the ride. The company reports it has now raised $730 million.

The HVR acquisition represents a hefty investment for the startup, grabbing a company for a price that is almost equal to all the money it has raised to date, but it provides a way to expand its market quickly by buying a competitor. Earlier this year Fivetran acquired Teleport Data as it continues to add functionality and customers via acquisition.

“The acquisition — a cash and stock deal valued at $700 million — strengthens Fivetran’s market position as one of the data integration leaders for all industries and all customer types,” the company said in a statement.

While that may smack of corporate marketing-speak, there is some truth to it, as pulling data from multiple sources, sometimes in siloed legacy systems, is a huge challenge for companies, and both Fivetran and HVR have developed tools to provide the pipes to connect various data sources and put it to work across a business.

Data is central to a number of modern enterprise practices, including customer experience management, which takes advantage of customer data to deliver customized experiences based on what you know about them, and data is the main fuel for machine learning models, which use it to understand and learn how a process works. Fivetran and HVR provide the nuts and bolts infrastructure to move the data around to where it’s needed, connecting to various applications like Salesforce, Box or Airtable, databases like Postgres SQL or data repositories like Snowflake or Databricks.

Whether bigger is better remains to be seen, but Fivetran is betting that it will be in this case as it makes its way along the startup journey. The transaction has been approved by both companies’ boards. The deal is still subject to standard regulatory approval, but Fivetran is expecting it to close in October.

Bzaar bags $4M to enable US retailers to source home, lifestyle products from India

Small businesses in the U.S. now have a new way to source home and lifestyle goods from new manufacturers. Bzaar, a business-to-business cross-border marketplace, is connecting retailers with over 50 export-ready manufacturers in India.

The U.S.-based company announced Monday that it raised $4 million in seed funding, led by Canaan Partners, and including angel investors Flipkart co-founder Binny Bansal, PhonePe founders Sameer Nigam and Rahul Chari, Addition founder Lee Fixel and Helion Ventures co-founder Ashish Gupta.

Nishant Verman and Prasanth Nair co-founded Bzaar in 2020 and consider their company to be like a “fair without borders,” Verman put it. Prior to founding Bzaar, Verman was at Bangalore-based Flipkart until it was acquired by Walmart in 2018. He then was at Canaan Partners in the U.S.

“We think the next 10 years of global trade will be different from the last 100 years,” he added. “That’s why we think this business needs to exist.”

Traditionally, small U.S. buyers did not have feet on the ground in manufacturing hubs, like China, to manage shipments of goods in the same way that large retailers did. Then Alibaba came along in the late 1990s and began acting as a gatekeeper for cross-border purchases, Verman said. U.S. goods imports from China totaled $451.7 billion in 2019, while U.S. goods imports from India in 2019 were $87.4 billion.

Bzaar screenshot. Image Credits: Bzaar

Small buyers could buy home and lifestyle goods, but it was typically through the same sellers, and there was not often a unique selection, nor were goods available handmade or using organic materials, he added.

With Bzaar, small buyers can purchase over 10,000 wholesale goods on its marketplace from other countries like India and Southeast Asia. The company guarantees products arrive within two weeks and manage all of the packaging logistics and buyer protection.

Verman and Nair launched the marketplace in April and had thousands users in three continents purchasing from the platform within six months. Meanwhile, products on Bzaar are up to 50% cheaper than domestic U.S. platforms, while SKU selection is growing doubling every month, Verman said.

The new funding will enable the company to invest in marketing to get in front of buyers and invest on its technology to advance its cataloging feature so that goods pass through customs seamlessly. Wanting to provide new features for its small business customers, Verman also intends to create a credit feature to enable buyers to pay in installments or up to 90 days later.

“We feel this is a once-in-a-lifetime shift in how global trade works,” he added. “You need the right team in place to do this because the problem is quite complex to take products from a small town in Vietnam to Nashville. With our infrastructure in place, the good news is there are already shops and buyers, and we are stitching them together to give buyers a seamless experience.”

 

Airwallex raises $200M at a $4B valuation to double down on business banking

Business, now more than ever before, is going digital, and today a startup that’s building a vertically integrated solution to meet business banking needs is announcing a big round of funding to tap into the opportunity. Airwallex — which provides business banking services both directly to businesses themselves, as well as via a set of APIs that power other companies’ fintech products — has raised $200 million, a Series E round of funding that values the Australian startup at $4 billion.

Lone Pine Capital is leading the round, with new backers G Squared and Vetamer Capital Management, and previous backers 1835i Ventures (formerly ANZi), DST Global, Salesforce Ventures and Sequoia Capital China, also participating.

The funding brings the total raised by Airwallex — which has head offices in Hong Kong and Melbourne, Australia — to date to $700 million, including a $100 million injection that closed out its Series D just six months ago.

Airwallex will be using the funding both to continue investing in its product and technology, as well as to continue its geographical expansion and to focus on some larger business targets. The company has started to make some headway into Europe and the UK and that will be one big focus, along with the U.S.

The quick succession of funding, and that rising valuation, underscore Airwallex’s traction to date around what CEO and co-founder Jack Zhang describes as a vertically integrated strategy.

That involves two parts. First, Airwallex has built all the infrastructure for the business banking services that it provides directly to businesses with a focus on small and medium enterprise customers. Second, it has packaged up that infrastructure into a set of APIs that a variety of other companies use to provide financial services directly to their customers without needing to build those services themselves — the so-called “embedded finance” approach.

“We want to own the whole ecosystem,” Zhang said to me. “We want to be like the Apple of business finance.”

That seems to be working out so far for Airwallex. Revenues were up almost 150% for the first half of 2021 compared to a year before, with the company processing more than US$20 billion for a global client portfolio that has quadrupled in size. In addition to tens of thousands of SMEs, it also, via APIs, powers financial services for other companies like GOAT, Papaya Global and Stake.

Airwallex got its start like many of the strongest startups do: it was built to solve a problem that the founders encountered themselves. In the case of Airwallex, Zhang tells me he had actually been working on a previous start-up idea. He wanted to build the “Blue Bottle Coffee” of Asia out of Hong Kong, and it involved buying and importing a lot of different materials, packaging and of course coffee from all around the world.

“We found that making payments as a small business was slow and expensive,” he said, since it involved banks in different countries and different banking systems, manual efforts to transfer money between them and many days to clear the payments. “But that was also my background — payments and trading — and so I decided that it was a much more fascinating problem for me to work on and resolve.”

Eventually one of his co-founders in the coffee effort came along, with the four co-founders of Airwallex ultimately including Zhang, along with Xijing Dai, Lucy Liu and Max Li.

It was 2014, and Airwallex got attention from VCs early on in part for being in the right place at the right time. A wave of startups building financial services for SMBs were definitely gaining ground in North America and Europe, filling a long-neglected hole in the technology universe, but there was almost nothing of the sort in the Asia Pacific region, and in those earlier days solutions were highly regionalized.

From there it was a no-brainer that starting with cross-border payments, the first thing Airwallex tackled, would soon grow into a wider suite of banking services involving payments and other cross-border banking services.

“In last 6 years, we’ve built more than 50 bank integrations and now offer payments 95 countries payments through a partner network,” he added, with 43 of those offering real-time transactions. From that, it moved on the bank accounts and “other primitive stuff” with card issuance and more, he said, eventually building an end-to-end payment stack. 

Airwallex has tens of thousands of customers using its financial services directly, and they make up about 40% of its revenues today. The rest is the interesting turn the company decided to take to expand its business.

Airwallex had built all of its technology from the ground up itself, and it found that — given the wave of new companies looking for more ways to engage customers and become their one-stop shop — there was an opportunity to package that tech up in a set of APIs and sell that on to a different set of customers, those who also provided services for small businesses. That part of the business now accounts for 60% of Airwallex’s business, Zhang said, and is growing faster in terms of revenues. (The SMB business is growing faster in terms of customers, he said.)

A lot of embedded finance startups that base their business around building tech to power other businesses tend to stay arm’s length from offering financial services directly to consumers. The explanation I have heard is that they do not wish to compete against their customers. Zhang said that Airwallex takes a different approach, by being selective about the customers they partner with, so that the financial services they offer would never be the kind that would not be in direct competition. The GOAT marketplace for sneakers, or Papaya Global’s HR platform are classic examples of this.

However, as Airwallex continues to grow, you can’t help but wonder whether one of those partners might like to gobble up all of Airwallex and take on some of that service provision role itself. In that context, it’s very interesting to see Salesforce Ventures returning to invest even more in the company in this round, given how widely the company has expanded from its early roots in software for salespeople into a massive platform providing a huge range of cloud services to help people run their businesses.

For now, it’s been the combination of its unique roots in Asia Pacific, plus its vertical approach of building its tech from the ground up, plus its retail acumen that has impressed investors and may well see Airwallex stay independent and grow for some time to come.

“Airwallex has a clear competitive advantage in the digital payments market,” said David Craver, MD at Lone Pine Capital, in a statement. “Its unique Asia-Pacific roots, coupled with its innovative infrastructure, products and services, speak volumes about the business’ global growth opportunities and its impressive expansion in the competitive payment providers space. We are excited to invest in Airwallex at this dynamic time, and look forward to helping drive the company’s expansion and success worldwide.”

Zoom looks beyond video conferencing as triple-digit 2020 growth begins to slow

It’s been a heady 12-18 months for Zoom, the decade-old company that experienced monster 2020 growth and more recently, a mega acquisition with the $14.7 billion Five9 deal in July. That addition is part of a broader strategy the company has been undertaking the last couple of years to move beyond its core video conferencing market into adjacencies like phone, meeting management and messaging, among other things. Here’s a closer look at how the plan is unfolding.

As the pandemic took hold in March 2020, everyone from businesses to schools to doctors and and places of worship moved online. As they did, Zoom video conferencing became central to this cultural shift and the revenue began pouring in, ushering in a period of sustained triple-digit growth for the company that only recently abated.

Defy Partners leads $3M round into sales intelligence platform Aircover

Aircover raised $3 million in seed funding to continue developing its real-time sales intelligence platform.

Defy Partners led the round with participation from Firebolt Ventures, Flex Capital, Ridge Ventures and a group of angel investors.

The company, headquartered in the Bay Area, aims to give sales teams insights relevant to closing the sale as they are meeting with customers. Aircover’s conversational AI software integrates with Zoom and automates parts of the sales process to lead to more effective conversations.

Aircover’s founding team of Andrew Levy, Alex Young and Andrew’s brother David Levy worked together at Apteligent, a company co-founded and led by Andrew Levy, that was sold to VMware in 2017.

Chatting about pain points on the sales process over the years, Levy said it felt like the solution was always training the sales team more. However, by the time everyone was trained, that information would largely be out-of-date.

Instead, they created Aircover to be a software tool on top of video conferencing that performs real-time transcription of the conversation and then analysis to put the right content in front of the sales person at the right time based on customer issues and questions. This means that another sales expert doesn’t need to be pulled in or an additional call scheduled to provide answers to questions.

“We are anticipating that knowledge and parsing it out at key moments to provide more leverage to subject matter experts,” Andrew Levy told TechCrunch. “It’s like a sales assistant coming in to handle any issue.”

He considers Aircover in a similar realm with other sales team solutions, like Chorus.ai, which was recently scooped up by ZoomInfo, and Gong, but sees his company carving out space in real-time meeting experiences. Other tools also record the meetings, but to be reviewed after the call is completed.

“That can’t change the outcome of the sale, which is what we are trying to do,” Levy added.

The new funding will be used for product development. Levy intends to double his small engineering team by the end of the month.

He calls what Aircover is doing a “large interesting problem we are solving that requires some difficult technology because it is real time,” which is why the company was eager to partner with Bob Rosin, partner at Defy Partners, who joins Aircover’s board of directors as part of the investment.

Rosin joined Defy in 2020 after working on the leadership teams of Stripe, LinkedIn and Skype. He said sales and customer teams need tools in the moment, and while some are useful in retrospect, people want them to be live, in front of the customer.

“In the early days, tools helped before and after, but in the moment when they need the most help, we are not seeing many doing it,” Rosin added. “Aircover has come up with the complete solution.”

 

Mirantis launches cloud-native data center-as-a-service software

Mirantis has been around the block, starting way back as an OpenStack startup, but a few years ago the company began to embrace cloud-native development technologies like containers, microservices and Kubernetes. Today, it announced Mirantis Flow, a fully managed open source set of services designed to help companies manage a cloud-native data center environment, whether your infrastructure lives on-prem or in a public cloud.

“We’re about delivering to customers an open source-based cloud-to-cloud experience in the data center, on the edge, and interoperable with public clouds,” Adrian Ionel, CEO and co-founder at Mirantis explained.

He points out that the biggest companies in the world, the hyperscalers like Facebook, Netflix and Apple, have all figured out how to manage in a hybrid cloud-native world, but most companies lack the resources of these large organizations. Mirantis Flow is aimed at putting these same types of capabilities that the big companies have inside these more modest organizations.

While the large infrastructure cloud vendors like Amazon, Microsoft and Google have been designed to help with this very problem, Ionel says that these tend to be less open and more proprietary. That can lead to lock-in, which today’s large organizations are looking desperately to avoid.

“[The large infrastructure vendors] will lock you into their stack and their APIs. They’re not based on open source standards or technology, so you are locked in your single source, and most large enterprises today are pursuing a multi-cloud strategy. They want infrastructure flexibility,” he said. He added, “The idea here is to provide a completely open and flexible zero lock-in alternative to the [big infrastructure providers, but with the] same cloud experience and same pace of innovation.”

They do this by putting together a stack of open source solutions in a single service. “We provide virtualization on top as part of the same fabric. We also provide software-defined networking, software-defined storage and CI/CD technology with DevOps as a service on top of it, which enables companies to automate the entire software development pipeline,” he said.

As the company describes the service in a blog post published today, it includes “Mirantis Container Cloud, Mirantis OpenStack and Mirantis Kubernetes Engine, all workloads are available for migration to cloud native infrastructure, whether they are traditional virtual machine workloads or containerized workloads.”

For companies worried about migrating their VMware virtual machines to this solution, Ionel says they have been able to move these VMs to the Mirantis solution in early customers. “This is a very, very simple conversion of the virtual machine from VMware standard to an open standard, and there is no reason why any application and any workload should not run on this infrastructure — and we’ve seen it over and over again in many many customers. So we don’t see any bottlenecks whatsoever for people to move right away,” he said.

It’s important to note that this solution does not include hardware. It’s about bringing your own hardware infrastructure, either physical or as a service, or using a Mirantis partner like Equinix. The service is available now for $15,000 per month or $180,000 annually, which includes: 1,000 core/vCPU licenses for access to all products in the Mirantis software suite plus support for 20 virtual machine (VM) migrations or application onboarding and unlimited 24×7 support. The company does not charge any additional fees for control plane and management software licenses.

Confluent CEO Jay Kreps is coming to TC Sessions: SaaS for a fireside chat

As companies process ever-increasing amounts of data, moving it in real time is a huge challenge for organizations. Confluent is a streaming data platform built on top of the open source Apache Kafka project that’s been designed to process massive numbers of events. To discuss this, and more, Confluent CEO and co-founder Jay Kreps will be joining us at TC Sessions: SaaS on Oct 27th for a fireside chat.

Data is a big part of the story we are telling at the SaaS event, as it has such a critical role in every business. Kreps has said in the past the data streams are at the core of every business, from sales to orders to customer experiences. As he wrote in a company blog post announcing the company’s $250 million Series E in April 2020, Confluent is working to process all of this data in real time — and that was a big reason why investors were willing to pour so much money into the company.

“The reason is simple: though new data technologies come and go, event streaming is emerging as a major new category that is on a path to be as important and foundational in the architecture of a modern digital company as databases have been,” Kreps wrote at the time.

The company’s streaming data platform takes a multi-faceted approach to streaming and builds on the open source Kafka project. While anyone can download and use Kafka, as with many open source projects, companies may lack the resources or expertise to deal with the raw open source code. Many a startup have been built on open source to help simplify whatever the project does, and Confluent and Kafka are no different.

Kreps told us in 2017 that companies using Kafka as a core technology include Netflix, Uber, Cisco and Goldman Sachs. But those companies have the resources to manage complex software like this. Mere mortal companies can pay Confluent to access a managed cloud version or they can manage it themselves and install it in the cloud infrastructure provider of choice.

The project was actually born at LinkedIn in 2011 when their engineers were tasked with building a tool to process the enormous number of events flowing through the platform. The company eventually open sourced the technology it had created and Apache Kafka was born.

Confluent launched in 2014 and raised over $450 million along the way. In its last private round in April 2020, the company scored a $4.5 billion valuation on a $250 million investment. As of today, it has a market cap of over $17 billion.

In addition to our discussion with Kreps, the conference will also include Google’s Javier Soltero, Amplitude’s Olivia Rose, as well as investors Kobie Fuller and Casey Aylward, among others. We hope you’ll join us. It’s going to be a thought-provoking lineup.

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Fiberplane nabs € 7.5M seed to bring Google Docs-like collaboration to incident response

Fiberplane, an Amsterdam-based early stage startup that is building collaborative notebooks for SREs (site reliability engineers)  to collaborate around an incident in a similar manner to group editing in a Google Doc, announced a ​​€ 7.5M (approximately $8.8 million USD) seed round today.

The round was co-led by Crane Venture Partners and Notion Capital with participation from Northzone, System.One and Basecase Capital.

Micha Hernandez van Leuffen (known as Mies) is founder and CEO at Fiberplane. When his previous startup, Werker was sold to Oracle in 2017, Hernandez van Leuffen became part of a much larger company where he saw people struggling to deal with outages (which happen at every company).

“We were always going back and forth between metrics, logs and traces, what I always call this sort of treasure hunt, and figuring out what was the underlying root cause of an outage or downtime,” Hernandez van Leuffen told me.

He said that this experience led to a couple of key insights about incident response: First, you needed a centralized place to pull all the incident data together, and secondly that as a distributed team managing a distributed system you needed to collaborate in real time, often across different time zones.

When he left Oracle in August 2020, he began thinking about the idea of giving DevOps teams and SREs the same kind of group editing capabilities that other teams inside an organization have with tools like Google Docs or Notion and an idea for his new company began to take shape.

What he created with Fiberplane is a collaborative notebook for SRE’s to pull in the various data types and begin to work together to resolve the incident, while having a natural audit trail of what happened and how they resolved the issue. Different people can participate in this notebook, just as multiple people can edit a Google Doc, fulfilling that original vision.

Fiberplane incident response notebook with various types of data about the incident.

Fiberplane collaborative notebook example with multiple people involved. Image Credit: Fiberplane

He doesn’t plan to stop there though. The longer term vision is an operational platform for SREs and DevOps teams to deal with every aspect of an outage. “This is our starting point, but we are planning to expand from there as more I would say an SRE workbench, where you’re also able to command and control your infrastructure,” he said.

Today the company has 13 employees and is growing, and as they do, they are exploring ways to make sure they are building a diverse company, looking at concrete strategies to find more diverse candidates.

“To hire diversely, we’re re-examining our top of the funnel processes. Our efforts include posting our jobs in communities of underrepresented people, running our job descriptions through a gender decoder and facilitating a larger time frame for jobs to remain open,” Elena Boroda, marketing manager at Fiberplane said.

While Hernandez van Leuffen is based in Amsterdam, the company has been hiring people in the UK, Berlin, Copenhagen and the US, he said. The plan is to have Amsterdam as a central hub when offices reopen as the majority of employees are located there.