Eric Schmidt
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For many of us, learning to ask questions was a matter of the five W’s: who, what, where, when, why (and how).
As I interviewed founders about the most valuable learning resources that allowed them to grow into the leaders they are today, I realized that many of them leaned heavily on carefully crafted approaches to asking questions. In all the interviews, inquiry was by far the most cited learning process. I found these founders to be incredibly methodical, brave, curious, disciplined and efficient in their pursuit of learning.
Founders showed incredible discipline by approaching information gathering as a structured process. Some founders have a highly systematic approach in how they target their outreach:
I learned by being systematic about talking to people smarter than myself. I needed to know hundreds of people and know what they know. I made a table matrix of who I talk to and for what topic. For example, Eric Schmidt is one of six experts I turn to on establishing management OKRs.
— Reid Hoffman, co-founder of LinkedIn
And in how they catalog/store information about who is an expert …
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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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Finding the right product/market fit is challenging for any company, but it’s just a little harder for hardware startups.
I recently visited the San Francisco offices of Nebia to chat with co-founder and CEO Philip Winter, whose eco-friendly hardware startup has received funding from Apple CEO Tim Cook, former Google CEO Eric Schmidt and Fitbit CEO James Park. After checking out the company’s latest shower head, we eased into a discussion about the opportunities and challenges facing hardware startups in Silicon Valley today.
TechCrunch: What’s so hard about hardware in 2020?
Philip Winter: The hardware landscape was, at one point, super-hot, at least in Silicon Valley. I would say like three or four years ago. A lot of companies came out with breakout products and a lot of them disappeared over the years since then. A lot of them are our peers — it’s a fairly small community.
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Google and its flagship search portal opened the door to the possibilities of how to build a business empire on the back of organising and navigating the world’s information, as found on the internet. Now, a startup that’s built a search engine tailored to the needs of enterprises and their own quests for information has raised a round of funding to see if it can do the same for the B2B world.
AlphaSense, which provides a way for companies to quickly amass market intelligence around specific trends, industries and more to help them make business decisions, has closed a $50 million round of funding, a Series B that it’s planning to use to continue enhancing its product and expanding to more verticals.
The company counts some 1,000 clients on its books, with a heavy emphasis on investment banks and related financial services companies. That’s in part because of how the company got its start: Finnish co-founder and CEO Jaakko (Jack) Kokko had been an analyst at Morgan Stanley in a past life and understood the labor and time pain points of doing market research, and decided to build a platform to help shorten a good part of the information-gathering process.
“My experience as an analyst on Wall Street showed me just how fragmented information really was,” he said in an interview, citing as one example how complex sites like those of the FDA are not easy to navigate to look for new information and updates — the kind of thing that a computer would be much more adept at monitoring and flagging. “Even with the best tools and services, it still was really hard to manually get the work done, in part because of market volatility and the many factors that cause it. We can now do that with orders of magnitude more efficiency. Firms can now gather information in minutes that would have taken an hour. AlphaSense does the work of the best single analyst, or even a team of them.”
(Indeed, the “alpha” of AlphaSense appears to be a reference to finance: it’s a term that refers to the ability of a trader or portfolio manager to beat the typical market return.)
The lead investor in this round is very notable and says something about the company’s ambitions. It’s Innovation Endeavors, the VC firm backed by Eric Schmidt, who had been the CEO of none other than Google (the pace-setter and pioneer of the search-as-business model) for a decade, and then stayed on as chairman and ultimately board member of Google and then Alphabet (its later holding company) until just last June.
Schmidt presided over Google at what you could argue was its most important time, gaining speed and scale and transitioning from an academic idea into a full-fledged, huge public business whose flagship product has now entered the lexicon as a verb and (through search and other services like Android and YouTube) is a mainstay of how the vast majority of the world uses the web today. As such, he is good at spotting opportunities and gaps in the market, and while enterprise-based needs will never be as prominent as those of mass-market consumers, they can be just as lucrative.
“Information is the currency of business today, but data is overwhelming and fragmented, making it difficult for business professionals to find the right insights to drive key business decisions,” he said in a statement. “We were impressed by the way AlphaSense solves this with its AI and search technology, allowing businesses to proceed with the confidence that they have the right information driving their strategy.”
This brings the total raised by AlphaSense to $90 million, with other investors in this round including Soros Fund Management LLC and other unnamed existing investors. Previous backers had included Tom Glocer (the former Reuters CEO who himself is working on his own fintech startup, a security firm called BlueVoyant), the MassChallenge incubator, Tribeca Venture Partners and others. Kokko said AlphaSense is not disclosing its valuation at this point. (I’m guessing though that it’s definitely on the up.)
There have been others that have worked to try to tackle the idea of providing more targeted, and business-focused, search portals, from the likes of Wolfram Alpha (another alpha!) through to Lexis Nexis and others like Bloomberg’s terminals, FactSet, Business Quant and many more.
One interesting aspect of AlphaSense is how it’s both focused on pulling in requests as well as set up to push information to its users based on previous search parameters. Currently these are set up to only provide information, but over time, there is a clear opportunity to build services to let the engines take on some of the actions based on that information, such as adjusting asking prices for sales and other transactions.
“There are all kinds of things we could do,” said Kokko. “This is a massive untapped opportunity. But we’re not taking the human out of the loop, ever. Humans are the right ones to be making final decisions, and we’re just about helping them make those faster.”
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RealityEngines.AI, a research startup that wants to help enterprises make better use of AI, even when they only have incomplete data, today announced that it has raised a $5.25 million seed funding round. The round was led by former Google CEO and Chairman Eric Schmidt and Google founding board member Ram Shriram. Khosla Ventures, Paul Buchheit, Deepchand Nishar, Elad Gil, Keval Desai, Don Burnette and others also participated in this round.
The fact that the service was able to raise from this rather prominent group of investors clearly shows that its overall thesis resonates. The company, which doesn’t have a product yet, tells me that it specifically wants to help enterprises make better use of the smaller and noisier data sets they have and provide them with state-of-the-art machine learning and AI systems that they can quickly take into production. It also aims to provide its customers with systems that can explain their predictions and are free of various forms of bias, something that’s hard to do when the system is essentially a black box.
As RealityEngines CEO Bindu Reddy, who was previously the head of products for Google Apps, told me, the company plans to use the funding to build out its research and development team. The company, after all, is tackling some of the most fundamental and hardest problems in machine learning right now — and that costs money. Some, like working with smaller data sets, already have some available solutions like generative adversarial networks that can augment existing data sets and that RealityEngines expects to innovate on.
Reddy is also betting on reinforcement learning as one of the core machine learning techniques for the platform.
Once it has its product in place, the plan is to make it available as a pay-as-you-go managed service that will make machine learning more accessible to large enterprise, but also to small and medium businesses, which also increasingly need access to these tools to remain competitive.
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One year after a $38 million Series B valued on-demand aviation startup Blade at $140 million, the company has begun taxiing the Bay Area’s elite.
As part of a new pilot program, Blade has given 200 people in San Francisco and Silicon Valley exclusive access to its mobile app, allowing them to book helicopters, private jets and even seaplanes at a moments notice for $200 per seat, at least.
Blade, backed by Lerer Hippeau, Airbus, former Google CEO Eric Schmidt and others, currently flies passengers around the New York City area, where it’s headquartered, offering the region’s wealthy $800 flights to the Hamptons, among other flights at various price points. According to Business Insider, it has worked with Uber in the past to help deep-pocketed Coachella attendees fly to and from the Van Nuys Airport to Palm Springs, renting out six-seat helicopters for more than $4,000 a pop.
Its latest pilot seems to target business travelers, connecting riders to the San Francisco International Airport and Oakland International Airport to Palo Alto, San Jose, Monterey and Napa Valley. The goal is to shorten trips made excruciatingly long due to bad traffic in major cities like New York, Los Angeles and San Francisco. Recently, the startup partnered with American Airlines to better establish its network of helicopters, a big step for the company as it works to integrate with existing transportation infrastructure.
New work with @flybladenow pic.twitter.com/eONvKU3rhM
— Tyler Babin (@Tyler_Babin) March 11, 2019
Blade, led by founder and chief executive officer Rob Wiesenthal, a former Warner Music Group executive, has raised about $50 million in venture capital funding to date. To launch at scale and, ultimately, to compete with the likes of soon-to-be-public transportation behemoth Uber, it will have to land a lot more investment support.
Uber too has lofty plans to develop a consumer aerial ridesharing business, as do several other privately-funded startups. Called UberAIR, Uber will offer short-term shareable flights to commuters as soon as 2023. The company has raised billions of dollars to turn this sci-fi concept into reality.
Then there’s Kitty Hawk, a company launched by former Google vice president and Udacity co-founder Sebastian Thrun, which is developing an aircraft that can take off like a helicopter but fly like a plane for short-term urban transportation purposes. Others in the air taxi or vertical take-off and landing aircraft space, including Volocopter, Lilium and Joby Aviation, have raised tens of millions to eliminate traffic congestion or, rather, to chauffer the rich.
Blade’s next stop is India, the Financial Times reports, where it will conduct a pilot connecting travelers in downtown Mumbai and Pune. The company tells TechCrunch they are currently exploring one additional domestic pilot and one additional international pilot.
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The American South may not be the first region that comes to mind when you hear the phrase “hotbed of tech entrepreneurship,” but, slightly misguided perceptions aside, it’s home to a diverse and growing collection of startups.
Here, we’re going to take a deep dive into the startup funding data for the region.
Just like it’s a common pastime for many city dwellers to argue about the precise boundaries of neighborhoods, there’s often some disagreement about the exact contours of the U.S.’s various regions. To quash rabble-rousing from the get-go, we’re using the U.S. Census Bureau’s definition of “the South” on its official map of the United States. Below, we display a map of the states we’re going to look at today.

Much like barbecue, the South is not a monolithic concept. So to incorporate some regional flavor into the following analysis, we’re also going to use the same regional divisions that the U.S. Census Bureau uses.
By doing this, we’ll be able to get a better idea of the relative contribution states from each sub-region make to startup activity in the South overall.
As is the case with most of the country, the South appears to be experiencing a shift in startup funding as we move toward the latter half of a bull run in entrepreneurial activity. The chart below shows a divergence in overall deal and dollar volume over time.

Much like in the rest of the U.S., reported deal and dollar volume are heading in different directions. Part of this may be due to reporting delays — it can sometimes take a few years for seed and early-stage rounds to get added to databases like Crunchbase’s . Nonetheless, there is a slow and generally upward creep in round sizes at most stages of funding. And that’s not just a Southern thing; it’s a country-wide trend.
Let’s disaggregate these figures a bit. We’ll start with deal counts and move on to dollar volume from there.
In the chart below, you’ll see venture deal volume broken out by sub-region.

Over the past several years, reported venture deal volume has been on the downswing. From a local maximum in 2014 through the end of 2017, it’s down almost 35 percent overall. But that’s not the whole picture. The relative share of deal volume has changed, as well.
Although it’s not immediately clear just by looking at the chart above, startups in the South Atlantic sub-region have accounted for an increasingly large share of the funding rounds. For example, in 2012, South Atlantic startups attracted 54 percent of the deal volume. In 2017, that grows to 64 percent. Startups in the West South Central sub-region have pretty consistently pulled in between 28 and 30 percent of the deals, so where’s the loss coming from? Startups headquartered in Kentucky, Tennessee, Mississippi and Alabama pulled in just 8 percent of deals in 2017, compared to 18 percent in 2012.
It’s a similar story with dollar volume.

In general, dollar volume follows the same pattern, albeit with a bit more variability. Regardless, startups in the South Atlantic sub-region are hoovering up an ever-larger share of venture dollars, and there’s little to indicate that trend will reverse itself any time soon.
Let’s see which states accounted for most of the deal volume. The chart below shows the geographic distribution of deal-making activity by startups in each Southern state from the beginning of 2017 through time of writing. It should come as no surprise that much of the activity is concentrated in states with higher populations.

And here’s the distribution of dollar volume among southern states.

Despite some variation in which states are at the top of the ranks, the share of deal and dollar volume raised by startups in the top three states is remarkably similar, coming in at between 52 and 53 percent for both metrics.
We started by looking at the South as a whole and then drilled into its sub regions and states. But there’s one layer deeper we can go here, and that’s to rank the top startup cities in the South.
In the interest of keeping our rankings fresh and timely, we’re covering activity from the past 15 months or so, from the start of 2017 through mid-March 2018. But before highlighting some of the more notable hubs, let’s take a look at the numbers.
In the chart below, you’ll find the top 10 metropolitan areas where Southern startups closed the most funding rounds.

The chart below shows reported dollar volume over the same period of time.

Much like we saw at the state level, the top five startup cities — ranked by both deal and dollar volume — are the same, although there’s some variation between where each one ranks. In order, the D.C., Austin and Atlanta metro areas rank in the top three for each metric, while Dallas and Raleigh, NC switch off between fourth and fifth place.
To be frank, Washington, D.C.’s top-shelf ranking was a bit of a surprise. It may be the fact that Austin, TX plays host to South By Southwest, a somewhat more relaxed culture and/or a preponderance of excellent breakfast taco and barbecue joints, but to many — ourselves included — the city feels like it would have a more active startup scene than the nation’s capital. But that’s not exactly the case. The D.C. metro area had more venture deal and dollar volume than Austin for seven out of the last 10 years, and startups based in the nation’s capital have raised more than twice as much money so far in 2018.
D.C.-area startups have recently raised some notable rounds. Just a couple of weeks prior to the time of writing, Viela Bio raised $250 million in a Series A round (in late February 2018) to continue funding research and testing of its treatments for severe inflammation and autoimmune diseases. And on the later-stage end of things, education technology company Everfi raised $190 million in a Series D round that had participation from Amazon founder and CEO Jeff Bezos, former Alphabet executive Eric Schmidt and Medium CEO Ev Williams. Other D.C. companies, including Mapbox, Upside.com, Afiniti and ThreatQuotient, have all raised late-stage rounds within the past 15 months.
Startup ecosystems in Southern cities may pale in comparison to places like New York and San Francisco, but it wouldn’t be wise to discount the region entirely. A large number of interesting companies call the lower half of the Lower 48 home, and as the cost of living continues to rise on the east and west coasts, don’t be surprised if many current and would-be founders opt to stay down home in the South.
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U.S. Secretary of Defense James Mattis is concluding his tech tour of the West Coast today with a visit to Google’s Mountain View campus. Mattis spent time at Amazon and the Defense Innovation Unit Experimental, earlier in the week. His key takeaway from all the socializing with tech leaders is that the Department of Defense needs to embrace technology coming out of the private sector… Read More
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Civis Analytics, a company founded by the chief analytics officer of Barack Obama’s 2012 re-election campaign, has raised $22 million in Series A funding. Founder and CEO Dan Wagner told me that after the election, he discovered that many organizations — whether they were in politics, government or business — were dealing with problems similar to the ones he faced during… Read More
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