Monthly Archives: January 2020

Shared inbox startup Front raises $59 million round led by other tech CEOs

Posted by on 22 January, 2020

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Front is raising a $59 million Series C funding round. Interestingly, the startup hasn’t raised with a traditional VC firm leading the round. A handful of super business angels are investing directly in the productivity startup and leading the round.

Business angels include Atlassian co-founder and co-CEO Mike Cannon-Brookes, Atlassian President Jay Simons, Okta co-founder and COO Frederic Kerrest, Qualtrics co-founders Ryan Smith and Jared Smith and Zoom CEO Eric Yuan. Existing investors including Sequoia Capital, Initialized Capital and Anthos Capital are participating in this round as well.

While Front doesn’t share its valuation, the company says that the valuation has quadrupled compared to the previous funding round. Annual recurring venue has also quadrupled over the same period.

The structure of this round is unusual, but it’s on purpose. Front, like many other startups, is trying to redefine the future of work. That’s why the startup wanted to surround itself with leaders of other companies who share the same purpose.

“First, because we didn’t need to raise (we still had two years of runway), and it’s always better to raise when we don’t need it. The last few months have given me much more clarity into our go-to-market strategy,” Front co-founder and CEO Mathilde Collin told me.

Front is a collaborative inbox for your company. For instance, if you want to share an email address with your coworkers (support@mycompany.com or jobs@mycompany.com), you can integrate those shared inboxes with Front and work on those conversations as a team.

It opens up a ton of possibilities. You can assign conversations to a specific person, @-mention your coworkers to send them a notification, start a conversation with your team before you hit reply, share a draft with other people, etc.

Front also supports other communication channels, such as text messages, WhatsApp messages, a chat module on your website and more. As your team gets bigger, Front helps you avoid double replies by alerting other users when you’re working on a reply.

In addition to those collaboration features, Front helps you automate your workload as much as possible. You can set up automated workflows so that a specific conversation ends up in front of the right pair of eyes. You can create canned responses for the entire team as well.

Front also integrates with popular third-party services, such as Salesforce, HubSpot, Clearbit and dozens of others. Front customers include MailChimp, Shopify and Stripe.

While Front supports multiple channels, email represents the biggest challenge. If you think about it, email hasn’t changed much over the past decade. The last significant evolution was the rise of Gmail, G Suite and web-based clients. In other words, Front wants to disrupt Outlook and Gmail.

With today’s funding round, the company plans to iterate on the product front with Office 365 support for its calendar, an offline mode and refinements across the board. The company also plans to scale up its sales and go-to-market team with an office in Phoenix and a new CMO.

Posted Under: Tech News
TriggerMesh scores $3M seed from Index and Crane to help enterprises embrace ‘serverless’

Posted by on 22 January, 2020

This post was originally published on this site

TriggerMesh, a startup building on top of the open source Kubernetes software to help enterprises go “serverless” across apps running in the cloud and traditional data centers, has raised $3 million in seed funding.

The round is led Index Ventures and Crane Venture Partners. TriggerMesh says the investment will be used to scale the company and grow its development team in order to offer what it bills as the industry’s first “cloud native integration platform for the serverless era”.

Founded by two prominent names in the open source community — Sebastien Goasguen (CEO) and Mark Hinkle (CMO), based in Geneva and North Carolina, respectively — TriggerMesh’s platform will enable organizations to build enterprise-grade applications that span multiple cloud and data center environments, therefore helping to address what the startup says is a growing pain point as serverless architectures become more prevalent.

TriggerMesh’s platform and serverless cloud bus is said to facilitate “application flow orchestration” to consume events from any data center application or cloud event source and trigger serverless functions.

“As cloud-native applications use a greater number of serverless offerings in the cloud, TriggerMesh provides a declarative API and a set of tools to define event flows and functions that compose modern applications,” explains the company.

One feature TriggerMesh is specifically talking up and very relevant to legacy enterprises is its integration functionality with on-premise software. Via its wares, it says it is easy to connect SaaS, serverless cloud offerings and on-premises applications to provide scalable cloud-native applications at a low cost and quickly.

“There are huge numbers of disconnected applications that are unable to fully benefit from cloud computing and increased network connectivity,” noted Scott Sage, co-founder and partner at Crane Venture Partners, in a statement. “Most companies have some combination of cloud and on-premises applications and with more applications around, often from different vendors, the need for integration has never been greater. We see TriggerMesh’s solution as the ideal fit for this need which made them a compelling investment”.

Posted Under: Tech News
Descartes Labs launches its new platform for analyzing geospatial data

Posted by on 22 January, 2020

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Descartes Labs, a wellfunded startup based in New Mexico, provides businesses with geospatial data and the tools to analyze it in order to make business decisions. Today, the company announced the launch of its Descartes Labs Platform, which promises to bring its data together with all of the tools data scientists — including those with no background in analyzing this kind of information — would need to work with these images to analyze them and build machine learning models based on the data in them.

Descartes Labs CEO Phil Fraher, who took this position only a few months ago, told me that the company’s current business often includes a lot of consulting work to get its customers started. These customers span the range from energy and mining companies to government agencies, financial services and agriculture businesses, but many don’t have the in-house expertise to immediately make use of the data that Descartes Labs provides them with.

“For the most part, we still have to evangelize how to use geospatial data to solve business problems. And so a lot of our customers rely on us to do consulting,” Fraher said. “But what’s really interesting is that even with some of our existing customers, we’re now seeing more early adopters, more business and analysis teams and data scientists being hired, that do focus on geospatial data. So what’s really exciting with this launch is we’re now going to put our platform tool in the hands of those particular individuals that now can do their own work.”

In many ways, this new platform gives these customers access to the tools and data that Descartes Labs’ own team uses and allows them to collaborate with the company to solve their problems and use the new modeling tools to build solutions for their individual businesses.

“Previously, a data science team that at a company that’s interested in this kind of analysis would also have to know how to wrangle very large-scale or petabyte-scale Earth observation data sets,” Fraher said. “These are very unique and specific skillsets and because of that kind of barrier to entry, the adoption of some of this technology and data sources has been slow.”

To enable more businesses to get started with working with this data (and become Descartes Labs customers), the company is betting on the standard tools in the industry, with hosted Jupyter notebooks, Python support and a set of APIs. It also includes tools to transform ad clean the incoming data from Descartes’ third-party partners in order to make it usable for data scientists.

“it’s not just like some simple ETL-like data processing pipeline,” Descartes Labs’  Head of Engineering Sam Skillman noted. “It’s something where we have to combine very in-depth data science, remote sensing and large scale compute capabilities to bring all of that data in in a way that normalizes it and gets it ready for analysis.”

All of this analysis is handled in the cloud, with AWS being Descartes Labs cloud of choice.

The new platform is now available to businesses that want to give it a try.

 

Posted Under: Tech News
ServiceNow acquires Loom Systems to expand AIOps coverage

Posted by on 22 January, 2020

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ServiceNow announced today that it has acquired Loom Systems, an Israeli startup that specializes in AIOps. The companies did not reveal the purchase price.

IT operations collects tons of data across a number of monitoring and logging tools, way too much for any team of humans to keep up with. That’s why there are startups like Loom turning to AI to help sort through it. It can find issues and patterns in the data that would be challenging or impossible for humans to find. Applying AI to operations data in this manner has become known as AIOps in industry parlance.

ServiceNow is first and foremost a company trying to digitize the service process, however that manifests itself. IT service operations is a big part of that. Companies can monitor their systems, wait until a problem happens and then try and track down the cause and fix it, or they can use the power of artificial intelligence to find potential dangers to the system health and neutralize them before they become major problems. That’s what an AIOps product like Loom’s can bring to the table.

Jeff Hausman, vice president and general manager of IT Operations Management at ServiceNow sees Loom’s strengths merging with ServiceNow’s existing tooling to help keep IT systems running. “We will leverage Loom Systems’ log analytics capabilities to help customers analyze data, automate remediation and reduce L1 incidents,” he told TechCrunch.

Loom co-founder and CEO Gabby Menachem not surprisingly sees a similar value proposition. “By joining forces, we have the unique opportunity to bring together our AI innovations and ServiceNow’s AIOps capabilities to help customers prevent and fix IT issues before they become problems,” he said in a statement.

Loom raised $16 million since it launched in 2015, according to PitchBook data. Its most recent round for $10 million was in November 2019. Today’s deal is expected to close by the end of this quarter.

Posted Under: Tech News
Thundra announces $4M Series A to secure and troubleshoot serverless workloads

Posted by on 22 January, 2020

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Thundra, an early stage serverless tooling startup, announced a $4 million Series A today led by Battery Ventures. The company spun out from OpsGenie after it was sold to Atlassian for $295 million in 2018.

York IE, Scale X Ventures and Opsgenie founder Berkay Mollamustafaoglu also participated in the round. Battery’s Neeraj Agarwal is joining the company’s board under the terms of the agreement.

The startup also announced that it had recently hired Ken Cheney as CEO with technical founder Serkan Ozal becoming CTO.

Originally, Thundra helped run the serverless platform at OpsGenie. As a commercial company, it helps monitor, debug and secure serverless workloads on AWS Lambda. These three tasks could easily be separate tools, but Cheney says it makes sense to include them all because they are all related in some way.

“We bring all that together and provide an end-to-end view of what’s happening inside the application, and this is what really makes Thundra unique. We can actually provide a high-level distributed view of that constantly-changing application that shows all of the components of that application, and how they are interrelated and how they’re performing. It can also troubleshoot down to the local service, as well as go down into the runtime code to see where the problems are occurring and let you know very quickly,” Cheney explained.

He says that this enables developers to get this very detailed view of their serverless application that otherwise wouldn’t be possible, helping them concentrate less on the nuts and bolts of the infrastructure, the reason they went serverless in the first place, and more on writing code.

Serverless trace map in Thundra. Screenshot: Thundra

Thundra is able to do all of this in a serverless world, where there isn’t a fixed server and resources are ephemeral, making it difficult to identity and fix problems. It does this by installing an agent at the Lambda (AWS’ serverless offering) level on AWS, or at runtime on the container at the library level,” he said.

Battery’s Neeraj Agarwal says having invested in OpsGenie, he knew the engineering team and was confident in the team’s ability to take it from internal tool to more broadly applicable product.

“I think it has to do with the quality of the engineering team that built OpsGenie. These guys are very microservices oriented, very product oriented, so they’re very quick at iterating and developing products. Even though this was an internal tool I think of it as very much productized, and their ability to now sell it to the broader market is very exciting,” he said.

The company offers a free version, then tiered pricing based on usage, storage and data retention. The current product is a cloud service, but it plans to add an on prem version in the near future.

Posted Under: Tech News
Placer.ai, a location data analytics startup, raises $12 million Series A

Posted by on 22 January, 2020

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Placer.ai, a startup that analyzes location and foot traffic analytics for retailers and other businesses, announced today that it has closed a $12 million Series A. The round was led by JBV Capital, with participation from investors including Aleph, Reciprocal Ventures and OCA Ventures.

The funding will be used on research and development of new features and to expand Placer.ai’s operation in the United States.

Launched in 2016, Placer.ai’s SaaS platform gives its clients to real-time data that helps them make decisions like where to rent or buy properties, when to hold sales and promotions and how to manage assets.

Placer.ai analyzes foot traffic and also creates consumer profiles to help clients make marketing and ad spending decisions. It does this by collecting geolocation and proximity data from devices that are enabled to share that information. Placer.ai’s co-founder and CEO Noam Ben-Zvi says the company protects privacy and follows regulation by displaying aggregated, anonymous data and does not collect personally identifiable data. It also does not sell advertising or raw data.

The company currently serves clients in the retail (including large shopping centers), commercial real estate and hospitality verticals, including JLL, Regency, SRS, Brixmor, Verizon* and Caesars Entertainment.

“Up until now, we’ve been heavily focused on the commercial real estate sector, but this has very organically led us into retail, hospitality, municipalities and even [consumer packaged goods],” Ben-Zvi told TechCrunch in an email. “This presents us with a massive market, so we’re just focused on building out the types of features that will directly address the different needs of our core audience.”

He adds that lack of data has hurt retail businesses with major offline operations, but that “by effectively addressing this gap, we’re helpiong drive more sustainable growth or larger players or minimizing the risk for smaller companies to drive expansion plans that are strategically aggressive.”

Others startups in the same space include Dor, Aislelabs, RetailNext, ShopperTrak and Density. Ben-Zvi says Placer. ai wants to differentiate by providing more types of real-time data analysis.

While there are a lot of companies touching the location analytics space, we’re in a unique situation as the only company providing these deep and actionable insights for any location in the country in a real-time platform with a wide array of functionality,” he said.

*Disclosure: Verizon Media is the parent company of TechCrunch.

Posted Under: Tech News
LumApps raises $70M Series C led by Goldman Sachs

Posted by on 22 January, 2020

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LumApps, the cloud-based social intranet for the enterprise, has closed $70 million in Series C funding. Leading the round is Goldman Sachs Growth, with participation from Bpifrance via its Growth Fund Large Venture.

Others participating include Idinvest Partners, Iris Capital, and Famille C (the family office of Courtin-Clarins). The round brings the total raised by the French company to around $100 million.

Founded in Paris back in 2012, before launching today’s proposition in 2015, LumApps has developed what it describes as a “social intranet” for enterprises to enable employees to better informed, connect and collaborate. The SaaS integrates with other enterprise software such as G Suite, Microsoft Office 365 and Microsoft SharePoint, to centralize access to corporate content, business applications and social features under a single platform. The central premise is to help companies “break down silos” and streamline internal communication.

LumApps customers include Airbus, Veolia, Valeo, Air Liquide, Colgate-Palmolive, The Economist, Schibsted, EA, Logitech, Toto, and Japan Airlines, and the company claims to have achieved year-on-year revenue growth of 100%.

“Our dream was to enable access to useful information in one click, from one place and for everyone,” LumApps founder and CEO Sébastien Ricard told TechCrunch when the company raised its Series B early last year. “We wanted to build a solution that bridged [an] intranet and social network, with the latest new technologies. A place that users will love.”

Since then, LumApps has added several new offices and has seven worldwide: Lyon, Paris, London, New York, Austin, San Francisco, and Tokyo. Armed with additional funding, the company will continue adding significant headcount, hiring across engineering, product, sales and marketing. There are also plans to expand to Canada, more of Asia Pacific, and Germany.

“We’re actually looking at hiring 200 people minimum,” Ricard tells me. “We’re growing fast and have ambitious plans to take the product to new heights, including fulfilling our vision of making LumApps a personal assistant powered by AI. This will require a significant investment in top engineering/AI talent globally”.

Asked to elaborate on what machine learning and AI could bring to a social intranet, Ricard says the vision is to make LumApps a personal assistant for all communications and workflows in the enterprise.

“We see a future where this personal assistant can make predictive suggestions based on historical data and actions. Applying AI to prompt authors with suggested content, flagging important items that demand attention, and auto-archiving old content, are a few examples. Managing the massive troves of content and data companies have today is critical”.

Ricard also sees AI playing a big role in data security. “Employees have a high-degree of control with regard to data sharing and AI can help manage what employees can share in the workplace. This is more long-term but it’s where we’re headed,” he says.

“In the short-term, we’re making investments in automating as many workflows as possible with the goal of reducing or eliminating administrative tasks that keep employees from more productive tasks, including team collaboration and knowledge sharing”.

Meanwhile, LumApps says it may also use part of the Series C for M&A activity. “We’re growing fast and we’re looking at different areas for expansion opportunities,” Ricard says. “This includes retail and manufacturing and some business functions like HR, marketing and communications. We don’t have concrete plans to acquire any companies at the moment but we are keeping our options open as acquiring best-in-breed technologies often makes more sense from a business perspective than building it yourself”.

Posted Under: Tech News
Corporate relocation startup Shyft raises $15M

Posted by on 21 January, 2020

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Shyft is announcing that it has raised $15 million in Series A funding to make the moving process less painful — specifically in the situations where your employer is paying for the move.

There other startups are looking to offer concierge-type services for regular moving — I used a service called Moved last year and liked it. But Shyft’s Shyft co-founder and CEO Alex Alpert (who’s spent years in the moving business) told me that there are no direct competitors focused on corporate relocation.

“Even at the highest levels, the process is totally jacked up,” Alpert said. “We saw an opportunity to partner with corporations and relocation management companies to build a customized, tech-driven experience with more choices, more flexibility and to be able to navigate the quoting seamlessly.”

So when a company that uses Shyft decides to relocate you — whether you’re a new hire or just transferring to a new office — you should get an email prompting you to download the Shyft app, where you can chat with a “move coach” who guides you through the process.

You’ll also be able to catalog the items you want to move over a video call and get estimates from movers. You’ll also receiving moving-related offers from companies like Airbnb, Wag, Common, Sonder and Home Chef.

And as Alpert noted, Shyft also partners with more traditional relocation companies like Graebel, rather than treating them as competitors.

The company was originally called Crater and focused on building technology for creating accurate moving estimates via video. It changed its name and its business model back in 2018 (Alpert acknowledged, “It wasn’t a very popular pitch in the beginning: ‘Hey, we’re building estimation software for moving companies.’”) but the technology remains a crucial differentiator.

“Our technology is within 95% accurate at identifying volume and weight of the move,” he said. “When moving companies know the information is reliable, they can bid very aggressively.”

As result, Alpert said the employer benefits not just from having happier employees, but lower moving costs.

The new funding, meanwhile, was led by Inovia Capital, with participation from Blumberg Capital and FJ Labs.

“There’s a total misalignment between transactional relocation services and the many logistical, social, and lifestyle needs that come with moving to a new city,” Inovia Partner Todd Simpson said in a statement. “As businesses shift towards more distributed workforces and talent becomes accustomed to personalized experiences, the demand for a curated moving offering will continue to grow.”

Posted Under: Tech News
Google Cloud lands Lufthansa Group and Sabre as new customers

Posted by on 21 January, 2020

This post was originally published on this site

Google’s strategy for bringing new customers to its cloud is to focus on the enterprise and specific verticals like healthcare, energy, financial service and retail, among others. It’s healthcare efforts recently experienced a bit of a setback, with Epic now telling its customers that it is not moving forward with its plans to support Google Cloud, but in return, Google now got to announce two new customers in the travel business: Lufthansa Group, the world’s largest airline group by revenue, and Sabre, a company that provides backend services to airlines, hotels and travel aggregators.

For Sabre, Google Cloud is now the preferred cloud provider. Like a lot of companies in the travel (and especially the airline) industry, Sabre runs plenty of legacy systems and is currently in the process of modernizing its infrastructure. To do so, it has now entered a 10-year strategic partnership with Google “to improve operational agility while developing new services and creating a new marketplace for its airline,  hospitality and travel agency customers.” The promise, here, too, is that these new technologies will allow the company to offer new travel tools for its customers.

When you hear about airline systems going down, it’s often Sabre’s fault, so just being able to avoid that would already bring a lot of value to its customers.

“At Google we build tools to help others, so a big part of our mission is helping other companies realize theirs. We’re so glad that Sabre has chosen to work with us to further their mission of building the future of travel,” said Google CEO Sundar Pichai . “Travelers seek convenience, choice and value. Our capabilities in AI and cloud computing will help Sabre deliver more of what consumers want.”

The same holds true for Google’s deal with Lufthansa Group, which includes German flag carrier Lufthansa itself, but also subsidiaries like Austrian, Swiss, Eurowings and Brussels Airlines, as well as a number of technical and logistics companies that provide services to various airlines.

“By combining Google Cloud’s technology with Lufthansa Group’s operational expertise, we are driving the digitization of our operation even further,” said Dr. Detlef Kayser, Member of the Executive Board of the Lufthansa Group. “This will enable us to identify possible flight irregularities even earlier and implement countermeasures at an early stage.”

Lufthansa Group has selected Google as a strategic partner to “optimized its operations performance.” A team from Google will work directly with Lufthansa to bring this project to life. The idea here is to use Google Cloud to build tools that help the company run its operations as smoothly as possible and to provide recommendations when things go awry due to bad weather, airspace congestion or a strike (which seems to happen rather regularly at Lufthansa these days).

Delta recently launched a similar platform to help its employees.

Posted Under: Tech News
Canonical’s Anbox Cloud puts Android in the cloud

Posted by on 21 January, 2020

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Canonical, the company behind the popular Ubuntu Linux distribution, today announced the launch of Anbox Cloud, a new platform that allows enterprises to run Android in the cloud.

On Anbox Cloud, Android becomes the guest operating system that runs containerized applications. This opens up a range of use cases, ranging from bespoke enterprise app to cloud gaming solutions.

The result is similar to what Google does with Android apps on Chrome OS, though the implementation is quite different and is based on the LXD container manager, as well as a number of Canonical projects like Juju and MAAS for provisioning the containers and automating the deployment. “LXD containers are lightweight, resulting in at least twice the container density compared to Android emulation in virtual machines – depending on streaming quality and/or workload complexity,” the company points out in its announcements.

Anbox itself, it’s worth noting, is an open-source project that came out of Canonical and the wider Ubuntu ecosystem. Launched by Canonical engineer Simon Fels in 2017, Anbox runs the full Android system in a container, which in turn allows you to run Android application on any Linux-based platform.

What’s the point of all of this? Canonical argues that it allows enterprises to offload mobile workloads to the cloud and then stream those applications to their employees’ mobile devices. But Canonical is also betting on 5G to enable more use cases, less because of the available bandwidth but more because of the low latencies it enables.

“Driven by emerging 5G networks and edge computing, millions of users will benefit from access to ultra-rich, on-demand Android applications on a platform of their choice,” said Stephan Fabel, Director of Product at Canonical, in today’s announcement. “Enterprises are now empowered to deliver high performance, high density computing to any device remotely, with reduced power consumption and in an economical manner.”

Outside of the enterprise, one of the use cases that Canonical seems to be focusing on is gaming and game streaming. A server in the cloud is generally more powerful than a smartphone, after all, though that gap is closing.

Canonical also cites app testing as another use case, given that the platform would allow developers to test apps on thousands of Android devices in parallel. Most developers, though, prefer to test their apps in real — not emulated — devices, given the fragmentation of the Android ecosystem.

Anbox Cloud can run in the public cloud, though Canonical is specifically partnering with edge computing specialist Packet to host it on the edge or on-premise. Silicon partners for the project are Ampere and Intel .

Posted Under: Tech News
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