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Essential advice for securing your small startup

Jeff Bezos’ phone was hacked. And if the richest person in the world is vulnerable, chances are good that your startup could get hacked, too.

The good news is that, as a tiny company, you’re not a big target. But as soon as you hire your first employee, it’s time to think about adopting basic security practices to ensure that you’re less vulnerable. Nothing is perfectly secure on the internet, but you can mitigate risk.

When you have fewer than 10 employees, you don’t want to use a single sign-on service like Okta. Solutions that work great for companies with tens of thousands of employees are not practical because they’re not designed for you.

As a basic rule, you want things to be simple by design. Relying on fewer services will reduce your attack surface, and if people can follow rules without even thinking about them, your organization will be less vulnerable. You might be great at spotting phishing attempts and securing your own accounts, but your startup is only as secure as your least-savvy employee. Most security issues come from human error.

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Smartphone sales expected to get a slight bump in 2020

Last year saw global smartphone sales decline for the first time since analysts started tracking such things. In Gartner’s case, that comprises a full 11 years, as figures dropped 2% for 2019. Following on last week’s global device forecast, the firm is drilling down on smartphone figures with some slightly rosier results.

According to the new numbers from the firm, global smartphone rates are expected to reverse course slightly for 2020, with a predicted 3% bump in worldwide sales. It’s a minor success, but after a few years of stagnation and then decline, a small victory is a victory no less.

I won’t dig too far into why numbers have been falling lately (I’d direct you here instead), but 2020 is expected to be the first year the move to 5G will finally see some real, tangible payoff for manufacturers. Apple, of course, is expected to get into the game at the end of the year, with the next iPhone, while a new batch of Qualcomm chips are helping to make cheaper 5G devices a reality.

5G phone sales are expected to have their largest impact in China and the broader Asia/Pacific regions. Those areas are expected to increase at 5.1% and 5.7% in overall sales, year over year, respectively. The Middle East and North Africa region, meanwhile, should get the biggest bump, at 5.9% for the year.

Ultimately, 5G may only be a temporary solution to declining smartphone sales. Without a radical shift in form factor or functionality, it’s hard to imagine smartphone sales seeing a substantial course correction in the coming years.

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Free Agency wants to give every tech worker a career and salary boost

Labor markets, particularly those in the tech industry, are incredibly lopsided against employees. Companies screen, interview, and negotiate with thousands of candidates per year, while employees may only go through recruiting a handful of times in their lives. Inevitably, they can select the wrong positions, pick the wrong managers to work with, and end up with a salary well below market rate.

New York City-based Free Agency wants to become the advocate of choice for this high-priced talent. Taking its cue from Hollywood and the sports world, the growing startup wants to identify great workers and offer them the career counseling, interview guidance, and salary negotiation prowess to let them do their best work — and at the right wage.

The company, which was founded last year by Sherveen Mashayekhi and Alex Rothberg, exclusively told TechCrunch that it has now reached 100 “Free Agents” on its platform, and it also announced that it has netted a combined $5.35 million in seed investments led by Resolute Ventures and Bloomberg Beta last year.

The way Free Agency works is simple. In exchange for the service’s help in finding and negotiating a career change, the startup takes 5-10% of its client’s first-year salary at their new company. As an example, given that median tech salaries at top companies have hovered around $200,000, that would be a fee of $10,000-$20,000.

That may sound exorbitant, but for the founders of Free Agency, it is anything but. They believe that many employees regularly fail to find the most ideal companies to work for and to negotiate the best salaries, which means that a significant amount of money is being left on the table by their potential clients.

Free Agency founders Alex Rothberg, COO, and Sherveen Mashayekhi, CEO. Photo via Free Agency.

“Our business model keeps us incentive-aligned with the candidate, driven by outcomes rather than upfront fees,” Mashayekhi, who is CEO, explained to me. “But it’s also important to note that Free Agency is, philosophically, also aligned with what employers want. Happy candidates who feel fairly paid will remain at their jobs longer and contribute more productivity. We help make happy candidates.”

Free Agency is in many ways a parallel to the rise of income-share agreements (ISAs) in the edtech world, which my colleague Eric Peckham has written about extensively in recent months. In lieu of tuition, some new education startups are using ISAs as a way to guarantee better employment outcomes for students while limiting their debt burden. Their growing popularity has spawned significant investor interest.

Today, Free Agency is barely one year old with just about 11 employees on the payroll. Longer term though, it wants to manage the budding careers of tech workers in much the way that Hollywood agents often do — finding new projects to work on, helping its talent develop their own skills, brands, and thought leadership, and helping them network with key decision-makers so they get called upon when great new opportunities arise.

“Today, we’re focused primarily on the job search inflection point, but Free Agency is really a career-long partner. You’ll see us continue to add ways to help our Free Agents succeed along 5 or 10 years of partnerships through intentional career management,” Mashayekhi said.

Talent agents exist in industries like Hollywood, book publishing, and sports because the talent themselves often don’t want to take on the burdens of managing their own careers. Film directors and baseball pitchers want to practice and hone their craft, not spend hours negotiating with studio execs and club owners. Agents also are more up-to-date on industry salary trends, and also where new opportunities are arising. Plus, they often work with talent managers to optimize all the ancillary revenues that comes from these careers (product endorsements, speaker engagements, etc.)

Furthermore, these industries have extremely strong superstar income patterns, where top talent can easily make tens of millions if not hundreds of millions of dollars over the course of a career.

While the tech industry has traditionally not had agents, tech talent is increasingly having similar superstar properties. Star engineers, product managers, and designers can make tens of millions of dollars across salary and equity packages, and often have a range of ancillary revenue sources from consulting engagements with VC firms to lecture circuit payments. Even better, new talent is often making six-figures, whereas the early years in an entertainment or sports career is often focused on securing any paying job.

What remains to be see is whether engineers will willingly give up a segment of their income in order to get better career help. Certainly Free Agency is not the first company that has tried to tackle this emerging field. 10x Management is a talent agency that has focused on vetting top freelance developers, and was profiled in The New Yorker a few years ago. Other startups have also entered the space over the past decade.

Free Agency believes it has the timing and service quality to win this market. While it is early days, much like the excitement around ISAs in education, I expect models like Free Agency to increasingly become popular as a way to manage our careers, and this is one startup worth paying attention to in the coming years.

In addition to Resolute and Bloomberg, Ludlow Ventures, Background Capital, Parker Thompson, Will Oberndorf, Amrit Saxena, Jenny Fielding, Greg Schroy, Gordon Wintrob, and Orrick LLP also joined the round as investors.

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Just released: Last round of tickets to 3rd Annual Winter Party at Galvanize

If parties came with an alert system, this post would qualify as Def Con 4. Now hear this — we just released the final batch of tickets to our 3rd Annual Winter Party at Galvanize, which heats up on February 7 in San Francisco. If you want to be there with more than 1,000 of Silicon Valley’s finest, act now with all due haste. Buy your ticket right here.

Hang out with your crowd and enjoy cocktails, craft beer and tempting appetizers. Branch out and meet new people in a relaxed, laid-back setting. Startuppers, you work hard, and now it’s time to let loose a little. Bust out your crazy karaoke skills and get ready for other party games, activities and photo ops.

It’s also a chill way to broaden your network, see a handful of exhibiting startups (wow, those demo tables sold out fast) and maybe even meet a future investor, partner or mentor. Startup magic happens at TechCrunch parties. Is this your year for magic?

Wanna know who else will be in the house? Check out some of the companies ready to meet, greet and network in a casual setting.

Here are the party particulars:

  • When: Friday, February 7, 6:00 p.m. – 9:00 p.m.
  • Where: Galvanize, 44 Tehama St., San Francisco, CA 94105
  • Ticket price: $85

It’s just not a TechCrunch party without door prizes, and we will not disappoint. You could win TC swag or win tickets to Disrupt SF, our flagship event coming in September 2020.

Speaking of Disrupt SF 2020, here’s another way to go gratis. It takes a big team to pull off a party of this magnitude. Volunteer to help us throw this party and you’ll earn a pass to our flagship Disrupt event. Pretty sweet.

Startup fans, don’t miss out on one of the great Silicon Valley traditions. Buy your ticket to the 3rd Annual Winter Party at Galvanize, right now before they’re gone for good.

Is your company interested in sponsoring the 3rd Annual Winter Party at Galvanize? Contact our sponsorship sales team by filling out this form.

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Securiti.ai scores $50M Series B to modernize data governance

Securiti.ai, a San Jose startup, is working to bring a modern twist to data governance and security. Today the company announced a $50 million Series B led by General Catalyst, with participation from Mayfield.

The company, which only launched in 2019, reports it has already raised $81 million. What is attracting all of this investment in such a short period of time is that the company is going after a problem that is an increasing pain point for companies all over the world because of a growing body of data privacy regulation like GDPR and CCPA.

These laws are forcing companies to understand the data they have, and find ways to be able to pull that data into a single view, and, if needed, respond to customer wishes to remove or redact some of  it. It’s a hard problem to solve with customer data spread across multiple applications, and often shared with third parties and partners.

Company CEO and founder Rehan Jalil says the goal of his startup is to provide an operations platform for customer data, an area he has coined PrivacyOps, with the goal of helping companies give customers more control over their data, as laws increasingly require.

“In the end it’s all about giving individuals the rights on the data: the right to privacy, the right to deletion, the right to redaction, the right to stop the processing. That’s the charter and the mission of the company,” he told TechCrunch.

You begin by defining your data sources, then a bot goes out and gathers customer data across all of the data sources you have defined. The company has links to more than 250 common modern and legacy data sources out of the box. Once the bot grabs the data and creates a central record, humans come in to review the results and make any adjustments and final decisions on how to handle a data request.

It has a number of security templates for different kinds of privacy regulations, such as GDPR and CCPA, and the bot finds data that must meet these requirements and lets the governance team see how many records could be in violation or meet a set of criteria you define.

Securiti.ai data view. Screenshot: Securiti.ai (cropped)

There are a number of tools in the package, including ways to look at your privacy readiness, vendor assessments, data maps and data breaches to look at data privacy in broad way.

The company launched in 2019, and in just five months has already grown to 185 employees, a number that is expected to increase in the next year with the new funding.

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RealityEngines launches its autonomous AI service

RealityEngines.AI, an AI and machine learning startup founded by a number of former Google executives and engineers, is coming out of stealth today and announcing its first set of products.

When the company first announced its $5.25 million seed round last year, CEO Bindu Reddy wasn’t quite ready to disclose RealityEngines’ mission beyond saying that it planned to make machine learning easier for enterprises. With today’s launch, the team is putting this into practice by launching a set of tools that specifically tackle a number of standard enterprise use cases for ML, including user churn predictions, fraud detection, sales lead forecasting, security threat detection and cloud spend optimization. For use cases that don’t fit neatly into these buckets, the service also offers a more general predictive modeling service.

Before co-founding RealiyEngines, Reddy was the head of product for Google Apps and general manager for AI verticals at AWS. Her co-founders are Arvind Sundararajan (formerly at Google and Uber) and Siddartha Naidu (who founded BigQuery at Google). Investors in the company include Eric Schmidt, Ram Shriram, Khosla Ventures and Paul Buchheit.

As Reddy noted, the idea behind this first set of products from RealityEngines is to give businesses an easy entry into machine learning, even if they don’t have data scientists on staff.

Besides talent, another issue that businesses often face is that they don’t always have massive amounts of data to train their networks effectively. That has long been a roadblock for many companies that want to see what AI can do for them but that didn’t have the right resources to do so. RealityEngines overcomes this by creating realistic synthetic data that it can then use to augment a company’s existing data. In its tests, this creates models that are up to 15% more accurate than models that were trained without the synthetic data.

“The most prominent use of generative adversarial networks — GANS — has been to create deepfakes,” said Reddy. “Deepfakes have captured the public’s imagination by highlighting how easy it to spread misinformation with these doctored videos and images. However, GANS can also be applied to productive and good use. They can be used to create synthetic data sets which when then be combined with the original data, to produce robust AI models even when a business doesn’t have much training data.”

RealityEngines currently has about 20 employees, most of whom have a deep background in ML/AI, both as researchers and practitioners.

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72 hours left to save $150 on tickets to TC Sessions: Robotics + AI 2020

We’re counting the days (35 to be precise) until TC Sessions: Robotics + AI 2020 takes place on March 3 in Berkeley, Calif. But we’re also counting the days that you can save on the price of admission. The early-bird pricing ends in just three days, on January 31. Buy your ticket right here before that bird flies south, and you’ll save $150.

This single-day conference features interviews, panel discussions, Q&As and demos with the leaders, founders and investors focused on the future of robotics and AI. TechCrunch editors will interview the people making it happen, explore the promise, expose the hype and address the challenges of these revolutionary industries.

The lineup, as impressive as ever, also includes workshops and demos, because who doesn’t want to see robots in action? From autonomous cars and assistive robotics to advances in agriculture and outer space, our conference agenda covers the leading edges of the complex and exciting world of robots and AI.

Here’s a taste of what we’re serving:

  • Engineering for the Red Planet: Maxar Technologies has been involved with U.S. space efforts for decades and is about to send its sixth robotic arm to Mars aboard NASA’s Mars 2020 rover. Lucy Condakchian, general manager of robotics at Maxar, will speak to the difficulty and exhilaration of designing robotics for use in the harsh environments of space and other planets.
  • Investing in Robotics and AI — Lessons from the Industry’s VCs: Leading investors will discuss the rising tide of venture capital funding in robotics and AI. Dror Berman, founding partner at Innovation Endeavors; Kelly Chen, partner at Data Collective (DCVC); and Eric Migicovsky, general partner at Y Combinator, bring a combination of early-stage investing and corporate venture capital expertise, sharing a fondness for the wild world of robotics and AI investing.

We’ve added a new, exciting element this year. It’s Pitch Night, a sort of mini Startup Battlefield. The night before the conference, 10 teams will pitch to an audience of VCs and other influencers at a private event. Judges will choose five finalists, and those teams will pitch again from the Main Stage at the conference. We’re taking applications until February 1, so apply right here. It’s free, and a great way to showcase your startup to the people who can supercharge your startup dreams.

Don’t miss your chance to learn from, share with and pitch to the brightest minds, makers, investors and researchers in robotics and AI. And don’t miss out on serious savings. Buy an early-bird ticket to TC Sessions: Robotics + AI 2020 — before prices go up on January 31 — and you’ll keep $150 in your wallet.

Is your company interested in sponsoring or exhibiting at TC Sessions: Robotics + AI 2020? Contact our sponsorship sales team by filling out this form.

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Nutanix execs discuss how they built their 2016 IPO roadshow deck

Bringing a startup from idea to IPO isn’t an easy task, but if you can build something successful, one major milestone is to go public. Before your Nasdaq debut, however, there’s a major step — building a deck and taking it on the road for investors.

Cloud computing company Nutanix went public in 2016, so we spoke to CEO Dheeraj Pandey and CFO Duston Williams, both of whom were with the company for the big event, to learn about how a company should define itself for investors as it seeks to go public.

Who are you?

Building a roadshow deck is an exercise in communications as founders attempt to carefully lay out their company’s core purpose and how they built it, along with their ethics, aspirations, financials and value proposition. In a nutshell, an effective roadshow deck summarizes who you are, what you stand for and why your company will make a good investment.

CEO Pandey says that in addition to investment bank Goldman Sachs, a number of people from the company helped craft the presentation. “Fifteen people across different functions were involved in building the deck. That included product and marketing, to finance and corporate communications, to legal. I think there were at least six different departments,” he said.

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Kepler will build its small satellites at a new manufacturing facility in Toronto

Satellite communications startup Kepler will manufacture its small satellites going forward at a new 5,000-square-foot facility in Toronto, Ontario, Canada . The company is working with partners, including the Canadian Space Agency and the University of Toronto, on the new facility, which will also incorporate design and development of its satellites in addition to manufacturing.

Already, Kepler operates two satellites currently in orbit, and has demonstrated the capabilities of its technology by delivering a high-speed internet data connection to the North Pole for the first time late last year. These spacecraft were designed by Kepler, but manufactured via third-parties through contracting agreements. With the new facility, Kepler says it’ll be able to “vertically integrate the development, production and testing of its future spacecraft.”

This will help the startup achieve its goal of producing, launching and operating a constellation of 140 satellites in total, which will provide high-bandwidth connectivity aimed for use in a range of industries, including agriculture, transportation and maritime shipping and logistics, to name a few. This new in-house facility will support mass production of the small satellites it requires to build out its fleet, while providing cost benefits versus outsourcing over time.

The small satellite industry is one of the parts of commercial space that has seen the biggest increase in demand, especially since relatively affordable launch vehicles like SpaceX’s Falcon 9 have expanded the pool of potential companies building and operating satellites and constellations. Bringing satellite manufacturing in-house puts Kepler in rare company as one of the few small sat companies that owns the whole stack, which should be a big competitive advantage relative to the market going forward.

In terms of when the facility will be putting out satellites that Kepler plans to actually launch, the company currently plans to launch its final demonstration satellite, which is already built under its prior contractor arrangement, this spring. Then, it intends to launch the first commercial satellites produced by this new facility starting this summer, with an additional two launches planned for later in the year.

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ServiceNow acquires conversational AI startup Passage AI

ServiceNow announced this morning that it has acquired Passage AI, a startup that helps customers build chatbots in multiple languages, something that should come in handy as ServiceNow continues to modernize its digital service platform. The companies did not share terms of the deal.

With Passage AI, ServiceNow gets a bushel of AI talent, which in itself has value, but it also gets AI technology, which should fit in nicely with ServiceNow’s mission. For starters, the company’s chatbot solutions gives ServiceNow an automated way to respond to customer/user inquiries.

Even more interesting for ServiceNow, Passage includes an IT automation component that uses ” a conversational interface to submit tickets, handle queries and take direct action through APIs,” according to the company website. It also gets an HR automation piece, giving the company an intelligent tool it could incorporate across its Now Platform in tools like ServiceNow Virtual Agent and Service Portal, as well as Workspaces in multiple languages.

The multilingual support was an aspect of the deal that appeals to Debu Chatterjee, senior director of AI Engineering at ServiceNow. “Building deep learning, conversational AI capabilities into the Now Platform will enable a work request initiated in German or a customer inquiry initiated in Japanese to be solved by Virtual Agent,” he said in a statement.

Companies are increasingly looking for ways to solve common customer problems using chatbots, while only bringing humans into the loop when the bot can’t answer the query. Passage AI gives ServiceNow much deeper knowledge in this growing area.

Passage AI, which launched in 2016, has raised $10.3 million, according to Crunchbase data. The company website lists a variety of large customers, including Mastercard, Shell, Mercedes-Benz and SoftBank. The acquisition comes less than a week after the company purchased another AI-focused startup, Loom Systems, one that concentrates on automating operations data.

The deal is expected to close this quarter. ServiceNow will be announcing earnings on Wednesday afternoon.

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