Oct
02
2018
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NYC wants to build a cyber army

Empires rise and fall, and none more so than business empires. Whole industries that once dominated the planet are just a figment in memory’s eye, while new industries quietly grow into massive behemoths.

New York City has certainly seen its share of empires. Today, the city is a global center of finance, real estate, legal services, technology, and many, many more industries. It hosts the headquarters of roughly 10% of the Fortune 500, and the metro’s GDP is roughly equivalent to that of Canada.

So much wealth and power, and all under constant attack. The value of technology and data has skyrocketed, and so has the value of stealing and disrupting the services that rely upon it. Cyber crime and cyber wars are adding up: according to a report published jointly between McAfee and the Center for Strategic and International Studies, the costs of these operations are in the hundreds of billions of dollars – and New York’s top industries such as financial services bear the brunt of the losses.

Yet, New York City has hardly been a bastion for the cybersecurity industry. Boston and Washington DC are far stronger today on the Acela corridor, and San Francisco and Israel have both made huge impacts on the space. Now, NYC’s leaders are looking to build a whole new local empire that might just act as a bulwark for its other leading ecosystems.

Today, the New York City Economic Development Corporation (NYCEDC) announced the launch of Cyber NYC, a $30 million “catalyzing” investment designed to rapidly grow the city’s ecosystem and infrastructure for cybersecurity.

James Patchett, CEO of New York City Economic Development Corporation. (Photo from NYCEDC)

James Patchett, CEO of NYCEDC, explained in an interview with TechCrunch that cybersecurity is “both an incredible opportunity and also a huge threat.” He noted that “the financial industry has been the lifeblood of this city for our entire history,” and the costs of cybercrime are rising quickly. “It’s a lose-lose if we fail to invest in the innovation that keeps the city strong” but “it’s a win if we can create all of that innovation here and the corresponding jobs,” he said.

The Cyber NYC program is made up of a constellation of programs:

  • Partnering with Jerusalem Venture Partners, an accelerator called Hub.NYC will develop enterprise cybersecurity companies by connecting them with advisors and customers. The program will be hosted in a nearly 100,000 square foot building in SoHo.
  • Partnering with SOSA, the city will create a new, 15,000 square foot Global Cyber Center co-working facility in Chelsea, where talented individuals in the cyber industry can hang out and learn from each other through event programming and meetups.
  • With Fullstack Academy and Laguardia Community College, a Cyber Boot Camp will be created to enhance the ability of local workers to find jobs in the cybersecurity space.
  • Through an “Applied Learning Initiative,” students will be able to earn a “CUNY-Facebook Master’s Degree” in cybersecurity. The program has participation from the City University of New York, New York University, Columbia University, Cornell Tech, and iQ4.
  • With Columbia University’s Technology Ventures, NYCEDC will introduce a program called Inventors to Founders that will work to commercialize university research.

NYCEDC’s map of the Cyber NYC initiative. (Photo from NYCEDC)

In addition to Facebook, other companies have made commitments to the program, including Goldman Sachs, MasterCard, PricewaterhouseCoopers, and edX.org. Two Goldman execs, Chief Operational Risk Officer Phil Venables and Chief Information Security Officer Andy Ozment, have joined the initiative’s advisory boards.

The NYCEDC estimates that there are roughly 6,000 cybersecurity professionals currently employed in New York City. Through these programs, it estimates that the number could increase by another 10,000. Patchett said that “it is as close to a no-brainer in economic development because of the opportunity and the risk.”

From Jerusalem to New York

To tackle its ambitious cybersecurity goals, the NYCEDC is partnering with two venture firms, Jerusalem Venture Partners (JVP) and SOSA, with significant experience investing, operating, and growing companies in the sector.

Jerusalem-based JVP is an established investor that should help founders at Hub.NYC get access to smart capital, sector expertise, and the entrepreneurial experience needed to help their startups scale. JVP invests in early-, late-, and growth-stage companies focused on cybersecurity, big data, media, and enterprise software.

JVP will run Hub.NYC, a startup accelerator that will help cybersecurity startups connect with customers and mentors. (Photo from JVP)

Erel Margalit, who founded the firm in 1993, said that “If you look at what JVP has done … we create ecosystems.” Working with Jerusalem’s metro government, Margalit and the firm pioneered a number of institutions such as accelerators that turned Israel into an economic powerhouse in the cybersecurity industry. His social and economic work eventually led him to the Knesset, Israel’s unicameral legislature, where he served as an MP from 2015-2017 with the Labor Party.

Israel is a very small country with a relative dearth of large companies though, a huge challenge for startups looking to scale up. “Today if you want to build the next-generation leading companies, you have to be not only where the ideas are being brewed, but also where the solutions are being [purchased],” Margalit explained. “You need to be working with the biggest customers in the world.”

That place, in his mind, is New York City. It’s a city he has known since his youth – he worked at Moshe’s Moving IN NYC while attending Columbia as a grad student where he got his PhD in philosophy. Now, he can pack up his own success from Israel and scale it up to an even larger ecosystem.

Since its founding, JVP has successfully raised $1.1 billion across eight funds, including a $60 million fund specifically focused on the cybersecurity space. Over the same period, the firm has seen 32 successful exits, including cybersecurity companies CyberArk (IPO in 2014) and CyActive (Acquired by PayPal in 2013).

JVP’s efforts in the cybersecurity space also go beyond the investment process, with the firm recently establishing an incubator, known as JVP Cyber Labs, specifically focused on identifying, nurturing and building the next wave of Israeli cybersecurity and big data companies.

On average, the firm has focused on deals in the $5-$10 million range, with a general proclivity for earlier-stage companies where the firm can take a more hands-on mentorship role. Some of JVP’s notable active portfolio companies include Source Defense, which uses automation to protect against website supply chain attacks, ThetaRay, which uses big data to analyze threats, and Morphisec, which sells endpoint security solutions.

Opening up innovation with SOSA

The self-described “open-innovation platform,” SOSA is a global network of corporations, investors, and entrepreneurs that connects major institutions with innovative startups tackling core needs.

SOSA works closely with its partner startups, providing investor sourcing, hands-on mentorship and the physical resources needed to achieve growth. The group’s areas of expertise include cybersecurity, fintech, automation, energy, mobility, and logistics. Though headquartered in Tel Aviv, SOSA recently opened an innovation lab in New York, backed by major partners including HP, RBC, and Jefferies.

With the eight-floor Global Cyber Center located in Chelsea, it is turning its attention to an even more ambitious agenda. Uzi Scheffer, CEO of SOSA, said to TechCrunch in a statement that “The Global Cyber Center will serve as a center of gravity for the entire cybersecurity industry where they can meet, interact and connect to the finest talent from New York, the States, Israel and our entire global network.”

SOSA’s new building in Chelsea will be a center for the cybersecurity community (Photo from SOSA)

With an already established presence in New York, SOSA’s local network could help spur the local corporate participation key to the EDC’s plan, while SOSA’s broader global network can help achieve aspirations of turning New York City into a global cybersecurity leader.

It is no coincidence that both of the EDC’s venture partners are familiar with the Israeli cybersecurity ecosystem. Israel has long been viewed as a leader in cybersecurity innovation and policy, and has benefited from the same successful public-private sector coordination New York hopes to replicate.

Furthermore, while New York hopes to create organic growth within its own local ecosystem, the partnerships could also benefit the city if leading Israeli cybersecurity companies look to relocate due to the limited size of the Israeli market.

Big plans, big results?

While we spent comparatively less time discussing them, the NYCEDC’s educational programs are particularly interesting. Students will be able to take classes at any university in the five-member consortium, and transfer credits freely, a concept that the NYCEDC bills as “stackable certificates.”

Meanwhile, Facebook has partnered with the City University of New York to create a professional master’s degree program to train up a new class of cybersecurity leaders. The idea is to provide a pathway to a widely-respected credential without having to take too much time off of work. NYCEDC CEO Patchett said, ”you probably don’t have the time to take two years off to do a masters program,” and so the program’s flexibility should provide better access to more professionals.

Together, all of these disparate programs add up to a bold attempt to put New York City on the map for cybersecurity. Talent development, founder development, customer development – all have been addressed with capital and new initiatives.

Will the community show up at initiatives like the Global Cyber Center, pictured here? (Photo from SOSA)

Yet, despite the time that NYCEDC has spent to put all of these partners together cohesively under one initiative, the real challenge starts with getting the community to participate and build upon these nascent institutions. “What we hear from folks a lot of time,” Patchett said to us, is that “there is no community for cyber professionals in New York City.” Now the buildings have been placed, but the people need to walk through the front doors.

The city wants these programs to be self-sustaining as soon as possible. “In all cases, we don’t want to support these ecosystems forever,” Patchett said. “If we don’t think they’re financially sustainable, we haven’t done our job right.” He believes that “there should be a natural incentive to invest once the ecosystem is off the ground.”

As the world encounters an ever-increasing array of cyber threats, old empires can falter – and new empires can grow. Cybersecurity may well be one of the next great industries, and it may just provide the needed defenses to ensure that New York City’s other empires can live another day.

Apr
28
2018
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Emissary wants to make sales networking obsolete

There is nothing meritocratic about sales. A startup may have the best product, the best vision, and the most compelling presentation, only to discover that their sales team is talking to the wrong decision-maker or not making the right kind of small talk. Unfortunately, that critical information — that network intelligence — isn’t written down in a book somewhere or on an online forum, but generally is uncovered by extensive networking and gossip.

For David Hammer and his team at Emissary, that is a problem to solve. “I am not sure I want a world where the best networkers win,” he explained to me.

Emissary is a hybrid SaaS marketplace which connects sales teams on one side with people (called emissaries, naturally) who can guide them through the sales process at companies they are familiar with. The best emissaries are generally ex-executives and employees who have recently left the target company, and therefore understand the decision-making processes and the politics of the organization. “Our first mission is pretty simple: there should be an Emissary on every deal out there,” Hammer said.

Expert networks, such as GLG, have been around for years, but have traditionally focused on investors willing to shell out huge dollars to understand a company’s strategic thinking. Emissary’s goal is to be much more democratized, targeting a broader range of both decision-makers and customers. It’s product is designed to be intelligent, encouraging customers to ask for help before a sales process falters. The startup has raised $14 million to date according to Crunchbase, with Canaan leading the last series A round.

While Emissary is certainly a creative startup, its the questions spanning knowledge arbitrage, labor markets, and ethics it poses that I think are most interesting.

Sociologists of science generally distinguish between two forms of knowledge, concepts descended from the work of famed scholar Michael Polanyi. The first is explicit knowledge — the stuff you find in books and on TechCrunch. These are facts and figures — a funding round was this size, or the CEO of a company is this individual. The other form is tacit knowledge. The quintessential example is riding a bike — one has to learn by doing it, and no number of physics or mechanics textbooks are going to help a rider avoid falling down.

While org charts may be explicit knowledge, tacit knowledge is the core of all organizations. It’s the politics, the people, the interests, the culture. There is no handbook on these topics, but anyone who has worked in an organization long enough knows exactly the process for getting something done.

That knowledge is critical and rare, and thus ripe for monetization. That was the original inspiration for Hammer when he set out to build a new startup.“Why does Google ever make a bad decision?” Hammer asked at the time. Here you have the company with the most data in the world and the tools to search through it. “How do they not have the information they need?” The answer is that it has all the explicit knowledge in the world, but none of the implicit knowledge required.

That thinking eventually led into sales, where the information asymmetry between a customer and a salesperson was obvious. “The more I talked to sales people, the more I realized that they needed to understand how their account thinks,” Hammer said. Sales automation tools are great, but what message should someone be sending, and to who? That’s a much harder problem to solve, but ultimately the one that will lead to a signed deal. Hammer eventually realized that there were individuals who could arbitrage their valuable knowledge for a price.

That monetization creates a new labor market for these sorts of consultants. For employees at large companies, they can now leave, take a year off or even retire, and potentially get paid to talk about what they know about an organization. Hammer said that “people are fundamentally looking for ways to be helpful,” and while the pay is certainly a major highlight, a lot of people see an opportunity to just get engaged. Clearly that proposition is attractive, since the platform has more than 10,000 emissaries today.

What makes this market more fascinating long-term though is whether this can transition from a part-time, between-jobs gig into something more long-term and professional. Could people specialize in something like “how does Oracle purchase things,” much as how there is an infrastructure of people who support companies working through the government procurement system?

Hammer demurred a bit on this point, noting that “so much of that is being on the other side of those walls.” It’s not any easier for a potential consultant to learn the decision-making outside of a company than it is for a salesperson. Furthermore, the knowledge of an internal company’s processes degrades, albeit at different rates depending on the organization. Some companies experience rapid change and turnover, while knowledge of other companies may last a decade or more.

All that said, Hammer believes that there will come a tipping point when companies start to recommend emissaries to help salespeople through their own processes. Some companies who are self-aware and acknowledge their convoluted procurement procedures may eventually want salespeople to be advised by people who can smooth the process for all sides.

Obviously, with money and knowledge trading hands, there are significant concerns about ethics. “Ethics have to be at the center of what we do,” Hammer said. “They are not sharing deep confidential information, they’re sharing knowledge about the culture of the organization.” Emissary has put in place procedures to monitor ethics compliance. “Emissaries can not work with competitors at the same time,” he said. Furthermore, emissaries obviously have to have left their companies, so they can’t influence the buying decision itself.

Networking has been the millstone of every salesperson. It’s time consuming, and there is little data on what calls or coffees might improve a sale or not. If you take Emissary’s vision to its asymptote though, all that could potentially be replaced. Under the guidance of people in the know, the fits and starts of sales could be transformed into a smooth process with the right talking points at just the right time. Maybe the best products could win after all.

Apr
24
2018
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Catalyst brothers find capital success with $2.4M from True

Over the past few years, the old language of “customer support” has been supplanted by the new language of “customer success.” In the old model, companies would essentially disappear following the conclusion of a sale, merely handling customer problems when they arose. Now, companies are actively reaching out to customers, engaging them with education and training and monitoring them with analytics to ensure they have the best time with the product as possible.

What’s changing is the nature of product and services today: subscription. Customers no longer just make a single buying decision about a product, but instead must actively commit to using the product, or else they churn.

New York-based Catalyst, founded by brothers Edward and Kevin Chiu, wants to rebuild customer success from the ground up with an integrated software platform. They have received some capital success of their own, securing $2.4 million in venture capital from Phil Black of True Ventures with participation from Ludlow Ventures and Compound.

New York has had something of an increase in founder mafias, as TechCrunch reported this weekend. Catalyst is no exception to this trend, with the Chiu brothers both working at DigitalOcean, one of New York’s many high-flying enterprise startups. Edward Chiu was director of customer success at the company for a number of years, but had a unique background in sales and also in coding before starting.

Kevin Chiu was head of inside sales at DigitalOcean . “I brought my brother on to do sales at DigitalOcean,” Edward Chiu explains. “We always knew that we wanted to start a company together, but wanted to see if we would kill each other.” The two worked together, and lo and behold, they didn’t kill each other.

Edward Chiu wanted to match the product experience of using DigitalOcean with the experience of using its internal customer success tools. Nothing on the market fit. “Given that DigitalOcean was a very technical product,” Chiu explained, “we decided to build our own tool.” Chiu thought of customer success at DigitalOcean as its own product, and his team built up the platform to improve its functionality and scalability. “We just used the tool and we loved it,” he said, so we “started to show this tool to a bunch of other customer success leaders I am connected with.”

Other customer success leaders said they wanted the platform, and “after the 20th person told me that,” he and his brother spun out of DigitalOcean to go on their own. Unlike enterprise startups in New York a couple of years ago that often struggled to find any investors, Catalyst found cash quickly. “Two weeks in we had more offers than we knew what to do with,” Chiu explained. The two said they had originally targeted a fundraise of $750,000, but ended up at $2.4 million.

Catalyst is a platform that integrates between a number of other major SaaS services such as Salesforce, Zendesk, Mixpanel and others to create a unified dashboard for data around customer success. From there, customer success managers have a set of automated tools to handle engagement, such as customer segmentation and email campaigns.

A major challenge in the customer success world is that these managers often don’t have the skills required to do advanced data analytics, so they often rely on their friends in engineering to run scripts or perform database lookups. The hope is that Catalyst’s feature set is powerful enough that these sorts of ad hoc tasks become a thing of the past. “Because we aggregate all this data, you can run queries,” Chiu explains.

Chiu says that Catalyst doesn’t just want to be a software platform, but rather a movement that pushes every company to think about how they can make their customers successful. “There are so many companies that are starting to understand that it is not something that you do once you raise a Series A, but something you do from day one,” Chiu said. “If you take care of your very first customer, they will constantly promote you and constantly promote your business.”

The company is based in Flatiron, and has eight employees.

Apr
21
2018
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In the NYC enterprise startup scene, security is job one

While most people probably would not think of New York as a hotbed for enterprise startups of any kind, it is actually quite active. When you stop to consider that the world’s biggest banks and financial services companies are located there, it would certainly make sense for security startups to concentrate on such a huge potential market — and it turns out, that’s the case.

According to Crunchbase, there are dozens of security startups based in the city with everything from biometrics and messaging security to identity, security scoring and graph-based analysis tools. Some established companies like Symphony, which was originally launched in the city (although it is now on the west coast), has raised almost $300 million. It was actually formed by a consortium of the world’s biggest financial services companies back in 2014 to create a secure unified messaging platform.

There is a reason such a broad-based ecosystem is based in a single place. The companies who want to discuss these kinds of solutions aren’t based in Silicon Valley. This isn’t typically a case of startups selling to other startups. It’s startups who have been established in New York because that’s where their primary customers are most likely to be.

In this article, we are looking at a few promising early-stage security startups based in Manhattan

Hypr: Decentralizing identity

Hypr is looking at decentralizing identity with the goal of making it much more difficult to steal credentials. As company co-founder and CEO George Avetisov puts it, the idea is to get rid of that credentials honeypot sitting on the servers at most large organizations, and moving the identity processing to the device.

Hypr lets organizations remove stored credentials from the logon process. Photo: Hypr

“The goal of these companies in moving to decentralized authentication is to isolate account breaches to one person,” Avetisov explained. When you get rid of that centralized store, and move identity to the devices, you no longer have to worry about an Equifax scenario because the only thing hackers can get is the credentials on a single device — and that’s not typically worth the time and effort.

At its core, Hypr is an SDK. Developers can tap into the technology in their mobile app or website to force the authorization to the device. This could be using the fingerprint sensor on a phone or a security key like a Yubikey. Secondary authentication could include taking a picture. Over time, customers can delete the centralized storage as they shift to the Hypr method.

The company has raised $15 million and has 35 employees based in New York City.

Uplevel Security: Making connections with graph data

Uplevel’s founder Liz Maida began her career at Akamai where she learned about the value of large data sets and correlating that data to events to help customers understand what was going on behind the scenes. She took those lessons with her when she launched Uplevel Security in 2014. She had a vision of using a graph database to help analysts with differing skill sets understand the underlying connections between events.

“Let’s build a system that allows for correlation between machine intelligence and human intelligence,” she said. If the analyst agrees or disagrees, that information gets fed back into the graph, and the system learns over time the security events that most concern a given organization.

“What is exciting about [our approach] is you get a new alert and build a mini graph, then merge that into the historical data, and based on the network topology, you can start to decide if it’s malicious or not,” she said.

Photo: Uplevel

The company hopes that by providing a graphical view of the security data, it can help all levels of security analysts figure out the nature of the problem, select a proper course of action, and further build the understanding and connections for future similar events.

Maida said they took their time creating all aspects of the product, making the front end attractive, the underlying graph database and machine learning algorithms as useful as possible and allowing companies to get up and running quickly. Making it “self serve” was a priority, partly because they wanted customers digging in quickly and partly with only 10 people, they didn’t have the staff to do a lot of hand holding.

Security Scorecard: Offering a way to measure security

The founders of Security Scorecard met while working at the NYC ecommerce site, Gilt. For a time ecommerce and adtech ruled the startup scene in New York, but in recent times enterprise startups have really started to come on. Part of the reason for that is many people started at these foundational startups and when they started their own companies, they were looking to solve the kinds of enterprise problems they had encountered along the way. In the case of Security Scorecard, it was how could a CISO reasonably measure how secure a company they were buying services from was.

Photo: Security Scorecard

“Companies were doing business with third-party partners. If one of those companies gets hacked, you lose. How do you vett the security of companies you do business with” company co-founder and CEO Aleksandr Yampolskiy asked when they were forming the company.

They created a scoring system based on publicly available information, which wouldn’t require the companies being evaluated to participate. Armed with this data, they could apply a letter grade from A-F. As a former CISO at Gilt, it was certainly a paint point he felt personally. They knew some companies did undertake serious vetting, but it was usually via a questionnaire.

Security Scorecard was offering a way to capture security signals in an automated way and see at a glance just how well their vendors were doing. It doesn’t stop with the simple letter grade though, allowing you to dig into the company’s strengths and weaknesses and see how they compare to other companies in their peer groups and how they have performed over time.

It also gives customers the ability to see how they compare to peers in their own industry and use the number to brag about their security position or conversely, they could use it to ask for more budget to improve it.

The company launched in 2013 and has raised over $62 million, according to Crunchbase. Today, they have 130 employees and 400 enterprise customers.

If you’re an enterprise security startup, you need to be where the biggest companies in the world do business. That’s in New York City, and that’s precisely why these three companies, and dozens of others have chosen to call it home.

Apr
21
2018
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Through luck and grit, Datadog is fusing the culture of developers and operations

There used to be two cultures in the enterprise around technology. On one side were software engineers, who built out the applications needed by employees to conduct the business of their companies. On the other side were sysadmins, who were territorially protective of their hardware domain — the servers, switches, and storage boxes needed to power all of that software. Many a great comedy routine has been made at the interface of those two cultures, but they remained divergent.

That is, until the cloud changed everything. Suddenly, there was increasing overlap in the skills required for software engineering and operations, as well as a greater need for collaboration between the two sides to effectively deploy applications. Yet, while these two halves eventually became one whole, the software monitoring tools used by them were often entirely separate.

New York City-based Datadog was designed to bring these two cultures together to create a more nimble and collaborative software and operations culture. Founded in 2010 by Olivier Pomel and Alexis Lê-Quôc, the product offers monitoring and analytics for cloud-based workflows, allowing ops team to track and analyze deployments and developers to instrument their applications. Pomel said that “the root of all of this collaboration is to make sure that everyone has the same understanding of the problem.”

The company has had dizzying success. Pomel declined to disclose precise numbers, but says the company had “north of $100 million” of recurring revenue in the past twelve months, and “we have been doubling that every year so far.” The company, headquartered in the New York Times Building in Times Square, employs more than 600 people across its various worldwide offices. The company has raised nearly $150 million of venture capital according to Crunchbase, and is perennially on banker’s short lists for strong IPO prospects.

The real story though is just how much luck and happenstance can help put wind in the sails of a company.

Pomel first met Lê-Quôc while an undergraduate in France. He was working on running the campus network, and helped to discover that Lê-Quôc had hacked the network. Lê-Quôc was eventually disconnected, and Pomel would migrate to IBM’s upstate New York offices after graduation. After IBM, he led technology at Wireless Generation, a K-12 startup, where he ran into Lê-Quôc again, who was heading up ops for the company. The two cultures of develops and ops was glaring at the startup, where “we had developers who hated operations” and there was much “finger-pointing.”

Putting aside any lingering grievances from their undergrad days, the two began to explore how they could ameliorate the cultural differences they witnessed between their respective teams. “Bringing dev and ops together is not a feature, it is core,” Pomel explained. At the same time, they noticed that companies were increasingly talking about building on Amazon Web Services, which in 2009, was still a relatively new concept. They incorporated Datadog in 2010 as a cloud-first monitoring solution, and launched general availability for the product in 2012.

Luck didn’t just bring the founders together twice, it also defined the currents of their market. Datadog was among the first cloud-native monitoring solutions, and the superlative success of cloud infrastructure in penetrating the enterprise the past few years has benefitted the company enormously. We had “exactly the right product at the right time,” Pomel said, and “a lot of it was luck.” He continued, “It’s healthy to recognize that not everything comes from your genius, because what works once doesn’t always work a second time.”

While startups have been a feature in New York for decades, enterprise infrastructure was in many ways in a dark age when the company launched, which made early fundraising difficult. “None of the West Coast investors were listening,” Pomel said, and “East Coast investors didn’t understand the infrastructure space well enough to take risks.” Even when he could get a West Coast VC to chat with him, they “thought it was a form of mental impairment to start an infrastructure startup in New York.”

Those fundraising difficulties ended up proving a boon for Datadog, because it forced the company to connect with customers much earlier and more often than it might have otherwise. Pomel said, “it forced us to spend all of our time with customers and people who were related to the problem” and ultimately, “it grounded us in the customer problem.” Pomel believes that the company’s early DNA of deeply listening to customers has allowed it to continue to outcompete its rivals on the West Coast.

More success is likely to come as companies continue to move their infrastructure onto the cloud. Datadog used to have a roughly even mix of private and public cloud business, and now the balance is moving increasingly toward the public side. Even large financial institutions, which have been reticent in transitioning their infrastructures, have now started to aggressively embrace cloud as the future of computing in the industry, according to Pomel.

Datadog intends to continue to add new modules to its core monitoring toolkit and expand its team. As the company has grown, so has the need to put in place more processes as parts of the company break. Quoting his co-founder, Pomel said the message to employees is “don’t mind the rattling sound — it is a spaceship, not an airliner” and “things are going to break and change, and it is normal.”

Much as Datadog has bridged the gap between developers and ops, Pomel hopes to continue to give back to the New York startup ecosystem by bridging the gap between technical startups and venture capital. He has made a series of angel investments into local emerging enterprise and data startups, including Generable, Seva, and Windmill. Hard work and a lot of luck is propelling Datadog into the top echelon of enterprise startups, pulling New York along with it.

Apr
21
2018
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Up-and-coming enterprise startups in NYC

New York City has an incredible density of up-and-coming enterprise-focused startups. While the winners are publicized and well-known, we felt it was time to put a bit of a spotlight on younger companies, ones you may not have heard about yet, but are likely to in the coming years.

TechCrunch asked two dozen founders, venture capitalists, and other community members which companies — other than ones they are directly connected to — they thought were most likely to change the enterprise world in the coming years. From a list of 64 nominated startups, we chose twelve we thought best exemplified the potential for New York. All data on venture capital fundraised comes from Crunchbase. Also be sure to check out our in-depth profiles of NS1, Datadog, BigID, Packet, and Timescale as well as Security Scorecard, Uplevel, and HYPR, which were not included on this list.

Apr
21
2018
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NS1 brings domain name services to the enterprise

When you think about critical infrastructure, DNS or domain naming services might not pop into your head, but what is more important than making sure your website opens quickly and efficiently for your users. NS1 is a New York City startup trying to bring software smarts and automation to the DNS space.

“We’re a DNS and [Internet] traffic management technology company. We sit in a critical path. Companies point domains at our platforms,” company CEO and co-founder Kris Beevers told TechCrunch. That means when you type in the domain name like Google.com, you go to Google and you go there fast. It’s basic internet plumbing, but it’s essential.

Beevers cut his teeth as head of engineering at Voxel, a cloud infrastructure company that was acquired by Internap in 2012 for $35 million. He and his NS1 co-founders saw an opening in the DNS space and launched the company in 2013 with a set of software-defined DNS services. The startup was able to take advantage of the New York startup ecosystem early on to drive some business, even before they went looking for funding, but one incident really helped put the company on the map and effectively double its business.

That event occurred in almost exactly two years ago in 2016. One of NS1’s primary competitors, Dyn, a New Hampshire-based DNS company was the victim of a massive DDoS attack that took down the service for hours. When critical infrastructure like your domain name server goes away, you see the consequences pretty starkly and suddenly customers realized they didn’t just need this service, they needed redundancy in case the primary service went down — and with that attack, NS1’s business effectively doubled overnight.

Suddenly everyone who owned one, needed another for redundancy. One competitor’s misfortune turned out to be highly beneficial for NS1, who turned out to be in the right place at the right time with the right solution. Dyn was actually acquired by Oracle later that year.

“DNS had been around since 1983. The first 20 years were very boring with no commercial ecosystem,” Beevers said. Even when it went commercial in the early 2000s, nobody was looking at this as a software problem. “We saw everyone in this space was a hardware or networking vendor. Nobody was a software company. Nobody had thought about automation or how automation fit into the stack. And nobody saw the big infrastructure trends,” Beevers explained.

They got their start in the adtech startup space that was booming in NYC when they launched in 2013. These companies were willing to take a chance with an unknown startup, partly because they were looking for any edge they could get, and partly because they knew Beevers from his days at Voxall so he wasn’t a completely unknown quantity.

“Our ability around dynamic traffic management and performance reliability gave those ad companies [an advantage].They were able to take a chance on us. If we have a bad day, a customer can’t operate. We had limited infrastructure. They placed a bet on us because of the [positive] impact we had on their business.”

Today the company is growing fast, has raised close to $50 million and has close to 100 employees. While the bulk of those folks are in NYC, they have also opened offices in San Francisco, Londonderry, NH, the UK and Singapore.

Beevers says the Dyn incident in many ways brought the industry closer together. While they compete, they still need to cooperate to keep the domain system up and running. “We compete and are comrades in the internet mess. We will all fall apart if we don’t work together,” he said. As it turned out, being part of the whole New York infrastructure community didn’t hurt either.

Apr
21
2018
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Full-Metal Packet is hosting the future of cloud infrastructure

Cloud computing has been a revolution for the data center. Rather than investing in expensive hardware and managing a data center directly, companies are relying on public cloud providers like AWS, Google Cloud, and Microsoft Azure to provide general-purpose and high-availability compute, storage, and networking resources in a highly flexible way.

Yet as workflows have moved to the cloud, companies are increasingly realizing that those abstracted resources can be enormously expensive compared to the hardware they used to own. Few companies want to go back to managing hardware directly themselves, but they also yearn to have the price-to-performance level they used to enjoy. Plus, they want to take advantage of a whole new ecosystem of customized and specialized hardware to process unique workflows — think Tensor Processing Units for machine learning applications.

That’s where Packet comes in. The New York City-based startup’s platform offers a highly-customizable infrastructure for running bare metal in the cloud. Rather than sharing an instance with other users, Packet’s customers “own” the hardware they select, so they can use all the resources of that hardware.

Even more interesting is that Packet will also deploy custom hardware to its data centers, which currently number eighteen around the world. So, for instance, if you want to deploy a quantum computing box redundantly in half of those centers, Packet will handle the logistics of installing those boxes, setting them up, and managing that infrastructure for you.

The company was founded in 2014 by Zac Smith, Jacob Smith, and Aaron Welch, and it has raised a total of $12 million in venture capital financing according to Crunchbase, with its last round led by Softbank. “I took the usual path, I went to Juilliard,” Zac Smith, who is CEO, said to me at his office, which overlooks the World Trade Center in downtown Manhattan. Double bass was a first love, but he found his way eventually into internet hosting, working as COO of New York-based Voxel.

At Voxel, Smith said that he grew up in hosting just as the cloud started taking off. “We saw this change in the user from essentially a sysadmin who cared about Tom’s Hardware, to a developer who had never opened a computer but who was suddenly orchestrating infrastructure,” he said.

Innovation is the lifeblood of developers, yet, public clouds were increasingly abstracting away any details of the underlying infrastructure from developers. Smith explained that “infrastructure was becoming increasingly proprietary, the land of few companies.” While he once thought about leaving the hosting world post-Voxel, he and his co-founders saw an opportunity to rethink cloud infrastructure from the metal up.

“Our customer is a millennial developer, 32 years old, and they have never opened an ATX case, and how could you possibly give them IT in the same way,” Smith asked. The idea of Packet was to bring back choice in infrastructure to these developers, while abstracting away the actual data center logistics that none of them wanted to work on. “You can choose your own opinion — we are hardware independent,” he said.

Giving developers more bare metal options is an interesting proposition, but it is Packet’s long-term vision that I think is most striking. In short, the company wants to completely change the model of hardware development worldwide.

VCs are increasingly investing in specialized chips and memory to handle unique processing loads, from machine learning to quantum computing applications. In some cases, these chips can process their workloads exponentially faster compared to general purpose chips, which at scale can save companies millions of dollars.

Packet’s mission is to encourage that ecosystem by essentially becoming a marketplace, connecting original equipment manufacturers with end-user developers. “We use the WeWork model a lot,” Smith said. What he means is that Packet allows you to rent space in its global network of data centers and handle all the logistics of installing and monitoring hardware boxes, much as WeWork allows companies to rent real estate while it handles the minutia like resetting the coffee filter.

In this vision, Packet would create more discerning and diverse buyers, allowing manufacturers to start targeting more specialized niches. Gone are the generic x86 processors from Intel driving nearly all cloud purchases, and in their place could be dozens of new hardware vendors who can build up their brands among developers and own segments of the compute and storage workload.

In this way, developers can hack their infrastructure much as an earlier generation may have tricked out their personal computer. They can now test new hardware more easily, and when they find a particular piece of hardware they like, they can get it running in the cloud in short order. Packet becomes not just the infrastructure operator — but the channel connecting buyers and sellers.

That’s Packet’s big vision. Realizing it will require that hardware manufacturers increasingly build differentiated chips. More importantly, companies will have to have unique workflows, be at a scale where optimizing those workflows is imperative, and realize that they can match those workflows to specific hardware to maximize their cost performance.

That may sound like a tall order, but Packet’s dream is to create exactly that kind of marketplace. If successful, it could transform how hardware and cloud vendors work together and ultimately, the innovation of any 32-year-old millennial developer who doesn’t like plugging a box in, but wants to plug in to innovation.

Apr
21
2018
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BigID lands in the right place at the right time with GDPR

Every startup needs a little skill and a little luck. BigID, a NYC-based data governance solution has been blessed with both. The company, which helps customers identify sensitive data in big data stores, launched at just about the same time that the EU announced the GDPR data privacy regulations. Today, the company is having trouble keeping up with the business.

While you can’t discount that timing element, you have to have a product that actually solves a problem and BigID appears to meet that criteria. “This how the market is changing by having and demanding more technology-based controls over how data is being used,” company CEO and co-founder Dimitri Sirota told TechCrunch.

Sirota’s company enables customers to identify the most sensitive data from among vast stores of data. In fact, he says some customers have hundreds of millions of users, but their unique advantage is having built the solution more recently. That provides a modern architecture that can scale to meet these big data requirements, while identifying the data that requires your attention in a way that legacy systems just aren’t prepared to do.

“When we first started talking about this [in 2016] people didn’t grok it. They didn’t understand why you would need a privacy-centric approach. Even after 2016 when GDPR passed, most people didn’t see this. [Today] we are seeing a secular change. The assets they collect are valuable, but also incredibly toxic,” he said. It is the responsibility of the data owner to identify and protect the personal data under their purview under the GDPR rules, and that creates a data double-edged sword because you don’t want to be fined for failing to comply.

GDPR is a set of data privacy regulations that are set to take effect in the European Union at the end of May. Companies have to comply with these rules or could face stiff fines. The thing is GDPR could be just the beginning. The company is seeing similar data privacy regulations in Canada, Australia, China and Japan. Something akin go this could also be coming to the United States after Facebook CEO, Mark Zuckerberg appeared before Congress earlier this month. At the very least we could see state-level privacy laws in the US, Sirota said.

Sirota says there are challenges getting funded as a NYC startup because there hadn’t been a strong big enterprise ecosystem in place until recently, but that’s changing. “Starting an enterprise company in New York is challenging. Ed Sim from Boldstart [A New York City early stage VC firm that invests in enterprise startups] has helped educate through investment and partnerships. More challenging, but it’s reaching a new level now,” he said.

The company launched in 2016 and has raised $16.1 million to date. It scored the bulk of that in a $14 million round at the end of January. Just this week at the RSAC Sandbox competition at the RSA Conference in San Francisco, BigID was named the Most Innovative Startup in a big recognition of the work they are doing around GDPR.

Apr
21
2018
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Timescale is leading the next wave of NYC database tech

Data is the lifeblood of the modern corporation, yet acquiring, storing, processing, and analyzing it remains a remarkably challenging and expensive project. Every time data infrastructure finally catches up with the streams of information pouring in, another source and more demanding decision-making makes the existing technology obsolete.

Few cities rely on data the same way as New York City, nor has any other city so shaped the technology that underpins our data infrastructure. Back in the 1960s, banks and accounting firms helped to drive much of the original computation industry with their massive finance applications. Today, that industry has been supplanted by finance and advertising, both of which need to make microsecond decisions based on petabyte datasets and complex statistical models.

Unsurprisingly, the city’s hunger for data has led to waves of database companies finding their home in the city.

As web applications became increasingly popular in the mid-aughts, SQL databases came under increasing strain to scale, while also proving to be inflexible in terms of their data schemas for the fast-moving startups they served. That problem spawned Manhattan-based MongoDB, whose flexible “NoSQL” schemas and horizontal scaling capabilities made it the default choice for a generation of startups. The company would go on to raise $311 million according to Crunchbase, and debuted late last year on NASDAQ, trading today with a market cap of $2 billion.

At the same time that the NoSQL movement was hitting its stride, academic researchers and entrepreneurs were exploring how to evolve SQL to scale like its NoSQL competitors, while retaining the kinds of features (joining tables, transactions) that make SQL so convenient for developers.

One leading company in this next generation of database tech is New York-based Cockroach Labs, which was founded in 2015 by a trio of former Square, Viewfinder, and Google engineers. The company has gone on to raise more than $50 million according to Crunchbase from a luminary list of investors including Peter Fenton at Benchmark, Mike Volpi at Index, and Satish Dharmaraj at Redpoint, along with GV and Sequoia.

While web applications have their own peculiar data needs, the rise of the internet of things (IoT) created a whole new set of data challenges. How can streams of data from potentially millions of devices be stored in an easily analyzable manner? How could companies build real-time systems to respond to that data?

Mike Freedman and Ajay Kulkarni saw that problem increasingly manifesting itself in 2015. The two had been roommates at MIT in the late 90s, and then went on separate paths into academia and industry respectively. Freedman went to Stanford for a PhD in computer science, and nearly joined the spinout of Nicira, which sold to VMware in 2012 for $1.26 billion. Kulkarni joked that “Mike made the financially wise decision of not joining them,” and Freedman eventually went to Princeton as an assistant professor, and was awarded tenure in 2013. Kulkarni founded and worked at a variety of startups including GroupMe, as well as receiving an MBA from MIT.

The two had startup dreams, and tried building an IoT platform. As they started building it though, they realized they would need a real-time database to process the data streams coming in from devices. “There are a lot of time series databases, [so] let’s grab one off the shelf, and then we evaluated a few,” Kulkarni explained. They realized what they needed was a hybrid of SQL and NoSQL, and nothing they could find offered the feature set they required to power their platform. That challenge became the problem to be solved, and Timescale was born.

In many ways, Timescale is how you build a database in 2018. Rather than starting de novo, the team decided to build on top of Postgres, a popular open-source SQL database. “By building on top of Postgres, we became the more reliable option,” Kulkarni said of their thinking. In addition, the company opted to make the database fully open source. “In this day and age, in order to get wide adoption, you have to be an open source database company,” he said.

Since the project’s first public git commit on October 18, 2016, the company’s database has received nearly 4,500 stars on Github, and it has raised $16.1 million from Benchmark and NEA .

Far more important though are their customers, who are definitely not the typical tech startup roster and include companies from oil and gas, mining, and telecommunications. “You don’t think of them as early adopters, but they have a need, and because we built it on top of Postgres, it integrates into an ecosystem that they know,” Freedman explained. Kulkarni continued, “And the problem they have is that they have all of this time series data, and it isn’t sitting in the corner, it is integrated with their core service.”

New York has been a strong home for the two founders. Freedman continues to be a professor at Princeton, where he has built a pipeline of potential grads for the company. More widely, Kulkarni said, “Some of the most experienced people in databases are in the financial industry, and that’s here.” That’s evident in one of their investors, hedge fund Two Sigma. “Two Sigma had been the only venture firm that we talked to that already had built out their own time series database,” Kulkarni noted.

The two also benefit from paying customers. “I think the Bay Area is great for open source adoption, but a lot of Bay Area companies, they develop their own database tech, or they use an open source project and never pay for it,” Kulkarni said. Being in New York has meant closer collaboration with customers, and ultimately more revenues.

Open source plus revenues. It’s the database way, and the next wave of innovation in the NYC enterprise infrastructure ecosystem.

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