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Astroscale ships its space junk removal demonstration satellite for March 2021 mission

Japanese startup Astroscale has shipped its ELSA-d spacecraft to the Baikonur Cosmodrome in Kazahkstan, where it will be integrated with a Soyuz rocket for a launch scheduled for March of next year. This is a crucial mission for Astroscale, since it’ll be the first in-space demonstration of the company’s technology for de-orbiting space debris, a cornerstone of its proposed space sustainability service business.

The ELSA-d mission by Astroscale is a small satellite mission that will demonstrate two key technologies that enable the company’s vision for orbital debris removal. First will be a targeting component, demonstrating an ability to locate and dock with a piece of space debris, using positioning sensors including GPS and laser locating technologies. That will be used by a so-called “servicer” satellite to find and attach to a “target” satellite launched at the same time, which will stand in for a potential piece of debris.

Astroscale intends to dock and release with the “target” using its “servicer” multiple times over the course of the mission, showing that it can identify and capture uncontrolled objects in space, and that it can maneuver them for controlled de-orbit. This will basically prove out the feasibility of the technology underlying its business model, and set it up for future commercial operations.

In October, Astroscale announced that it had raised $51 million, making its total raised to date $191 million. The company also acquired the staff and IP of a company called Effective Space Solutions in June, which it will use to build out the geostationary servicing arm of its business, in addition to the LEO operations that ELSA-d will demonstrate.

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NextMind’s Dev Kit for mind-controlled computing offers a rare ‘wow’ factor in tech

NextMind debuted its Dev Kit hardware at CES last year, but the hardware is now actually shipping, and the startup shared with me the production version to take a test drive. The NextMind controller is a sensor that reads electrical signals from your brain’s visual cortex, and translates those into input signals for a connected PC. A lot of companies have developed novel input solutions that use either eye tracking or electrical impulse input from the body, but NextMind’s is the first I’ve tried that worked instantly and wonderfully, providing a truly amazing experience of a kind that’s hard to find in the current world of relatively mature computing paradigms.

The basics

NextMind’s developer kit is just that — a product aimed at developers that’s meant to give them everything they need to get building software that works with NextMind’s hardware and APIs. It includes the NextMind sensor, which works with a range of headgear, including simple straps, Oculus VR headsets and even baseball hats, along with the software and SDK required to make it work on your PC.

Image Credits: NextMind

The package that NextMind provided me included the sensor, a fabric headband, a Surface PC with the engine pre-installed and a USB gamepad for use with one of the company’s pre-built software demos.

The sensor itself is lightweight, and can operate for up to eight hours continuously on a single charge. It can charge via USB-C, and its software is compatible with both Mac and PC, along with Oculus, HTC Vive and also Microsoft’s HoloLens.

Design and features

The NextMind sensor itself is surprisingly small and light — it fits in the palm of your hand, with two arms that extend slightly beyond that. It features an integrated clip mount that can be used to attach it to just about anything to secure it to your head. In terms of fit, you just need to ensure that the nine sets of two-pronged electrode sensors make contact with your skin, which NextMind provides instructions on doing by essentially making sure it straps snugly to your head, and then “combing” the device slightly (moving it up and down to get your hair out of the way).

It wears comfortably, though you will notice the electrodes pressing into your skin, especially over longer use periods. The ability to use a standard baseball cap with the clip makes it super convenient to install and wear, and it worked with the Oculus Rift and Oculus Quest headstraps easily and instantly, too.

Image Credits: NextMind

Setup was a breeze. I was guided by NextMind’s co-creators, but the app provides clear instructions as well. There’s a calibration process during which you look at an animation being displayed on the host PC, which helps the sensor identify the specific signals your occipital lobe is emitting when performing the target behaviour that you’ll later use to actually interact with NextMind-optimized software.

Here’s where it’s worth pausing to explain how NextMind is actually “reading your thoughts”: The sensor basically learns what it looks like when your brain is engaged in what the company calls “active, visual focus.” It does this using a common signal that it overlays on controllable elements of a software’s graphical user interface. That way, when you focus on a specific item, it can translate that into a “press” action, or a “hold and move,” or any other number of potential output results.

NextMind’s system is elegantly simple in conception, which is probably why it feels so powerful and rich in use. After the calibration process, I immediately jumped into the demos and was performing a range of actions effectively with my brain. First was media playback and window management on a desktop, and from there I moved on to composing music, entering a pin on a number pad and playing multiple games, including a platform where my mind control was supplementing my physical input on a USB gamepad to create a whole new level of fun and complex gameplay that wouldn’t be possible otherwise.

This is a Dev Kit, so the included software is just a small sampling of what could be possible with NextMind eventually, now that developers are able to build their own. What’s amazing is that the included samples are breathtaking on their own, providing an overall experience that is mind-bending in all the best possible ways. Imagining a future where NextMind hardware is even smaller and a seamless part of an overall computing experience that also includes traditional input is tantalizing, indeed.

Bottom line

NextMind’s Dev Kit is definitely just that — a Dev Kit. It’s intended for developers who are going to use it to write their own software that will take advantage of this unique, safe and convenient form of brain-computer interface (BCI). The kit retails for $399, and is now shipping. NextMind has plans to eventually consumerise the product, and to work with other OEMs as well on implementations, but for now, even in this state, it’s an awe-inspiring glimpse into what could well be the next major shift in our daily computing paradigm.

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Launch startup Astra’s rocket reaches space

Rocket launch startup Astra has joined an elite group of companies that can say their vehicle has actually made it to orbital space — earlier than expected. The company’s Rocket 3.2 test rocket (yes, it’s a rocket called “Rocket”) passed the Karman line, the separation point 100 km (62 miles) up that most consider the barrier between Earth’s atmosphere and space, during a launch today from Kodiak, Alaska.

This is the second in this series of orbital flight tests by Astra; it flew its Rocket 3.1 test vehicle in September, but while that flight was successful by the company’s own definition, since it lifted off and provided a lot of data, it didn’t reach space or orbit. Both the 3.1 and 3.2 rockets are part of a planned three-launch series that Astra said would be designed to reach orbital altitudes by the end of the trio of attempts.

Astra is a small satellite launch startup that builds its rockets in California’s East Bay, at a factory it established there which is designed to ultimately produce its launchers in volume. Their model uses smaller craft than existing options like either SpaceX or Rocket Lab, but aims to provide responsive, short turnaround launch services at a relatively low cost — a bus to space rather than a hired limousine. They compete more directly with something like Virgin Orbit, which has yet to reach space with its launch craft.

The view from Astra’s Rocket 3.2 second stage from space.

This marks a tremendous win and milestone for Astra’s rocket program, made even more impressive by the relatively short turnaround between their rocket loss error in September, which the company determined was a result of a problem in its onboard guidance system. Correcting the mistake and getting back to an active, and successful launch, within three months, is a tremendous technical achievement, even in the best of times, and the company faced additional challenges because of COVID-19.

Astra was not expecting to make it as far as it did today — the startup has defined seven stages of reaching orbital flight for its development program; today it expected to achieve 1) count and liftoff; and 2) reaching Max Q, the point of maximum dynamic pressure undergone by a rocket in flight in Earth’s atmosphere. Third, they were looking to achieve nominal main-engine cutoff for first stage — and this is where they would’ve pegged success today, but the “rocket continued to perform,” according to CEO and founder Chris Kemp on a call following the launch.

Rocket 3.2 then performed a successful stage separation, and then the second stage passed through the Karman line, reaching outer space. After that, it went farther still, achieving a successful upper-stage ignition, and a nominal upper-stage engine shut off six minutes later. Even then, the rocket reached 390 km, which is its target orbital height, but then reached a velocity of 7.2 km per hours, just one half km/hour less than the 7.68 km required for orbital velocity.

Astra emphasized that the mix for the propellant for this stage is basically only to be nailed down while testing in situ in space, so they say this will just require some upper-stage propellant mixtures to achieve that extra velocity, and Kemp said they’re confident they can do that in the next couple of months, and start reliving payloads early next year. This won’t require any hardware or software changes, the company noted, just a tweak in the variables involved.

He added that this is a big win for the underlying theory behind Astra’s approach, which focuses on using significant amounts of automation in order to reduce costs.

“We’ve only been in business for about four years, and this team only has about 100 people today,” Kemp said. “This team was able to overcome tremendous challenges on the way to this success. We had a member of the team quarantining, and tested positive on the way to Kodiak, which meant they had to quarantine the entire team, and then sent an entire backup team to replace them.” This was possible because they only use five people on the launch team.

“We now are at a point where just five people can go up, and set up the entire launch site and rocket, and launch in just a couple of days,” Kemp said. The team is literally just five people — including labor, rocket unloading, setup and everything on-site — the rest is run remotely from mission control in California via the cloud.

Now they will do some tuning for Rocket 3.3, which is currently in California at the Astra factory, before soon attempting that final orbital test flight with a payload on board to deploy. After that, they intend to continue to iterate with each version of Rocket launched, focusing on reducing costs and improving performance through rapid evolution of the design and technology.

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Everlywell raises $175 million to expand virtual care options and scale its at-home health testing

Digital health startup Everlywell has raised a $175 million Series D funding round, following relatively fast on the heels of a $25 million Series C round it closed in February of this year. The Series D included a host of new investors, including BlackRock, The Chernin Group (TCG), Foresite Capital, Greenspring Associates, Morningside Ventures and Portfolio, along with existing investors including Highland Capital Partners, which led the Series C round. The startup has now raised more than $250 million to date.

Everlywell, which launched to the public at TechCrunch Disrupt SF 2016 as a participant in Startup Battlefield, specializes in home healthcare, and specifically on home healthcare tests supported by their digital platform for providing customers with their results and helping them understand the diagnostics, and how to seek the right follow-on care and expert medical advice.

Earlier this year, Everlywell launched an at-home COVID-19 test collection kit — the first of this type of test to receive an emergency authorization from the U.S. Food and Drug Administration (FDA) for its use that allowed cooperation with multiple lab service providers over time. The COVID-19 test kit joins its many other offerings, which include tests for thyroid hormone levels, food and allergen sensitivity, women’s health and fertility, vitamin D deficiency and more. I spoke to Everlywell CEO and founder Julia Cheek about the raise, and she acknowledged that the COVID-19 pandemic was definitely behind the decision to raise such a large amount so quickly again after the close of the Series C, since the company saw a sharp increase in demand coming out of the coronavirus crisis — not only for its COVID-19 test kit, but for at-home digital healthcare options in general.

“We obviously have a very successful COVID-19 test,” she said. “But we’ve also seen three-fourths of our test menu just explode at well over 100% year-over-year growth, and several of our tests are at 4x or 5x growth. That is really representative of this shift in consumer health behavior that will continue in a big way in many different verticals that include testing, and making things more convenient, digitally-enabled, and in the home.”

Like other companies built on solving for a shift to more remote and virtual care options, Cheek said that Everlywell had already anticipated this kind of consumer demand — but COVID-19 has dramatically accelerated the pace of change, which is why the startup put together this round, at this size, this quickly (she says they started the process of putting together the Series D in September).

“We’ve been talking about the digital health movement, and the consumer-directed movement probably for a decade now,” she told me. “I do believe that this will be the watershed moment, unfortunately. But hopefully, we will come out on the other side of the pandemic and say, ‘There are some good things that happened broadly for healthcare.’ That is the hope of what we lean into everyday, and fundamentally, why we went out and raised this amount of capital in this tremendous growth year.”

Image Credits: Everlywell

Everlywell has also expanded availability of its products this year, with distribution in more than 10,000 retail locations across Target, Walgreens, CVS and Kroger stores across the U.S. The company also landed a number of new partnerships on the diagnostic lab and insurance payer side, as well as with major employers — a key customer group as employers shoulder the largest share of healthcare spending in the U.S. due to employee benefit plans. Cheek says that despite their commercial and enterprise customer wins, the focus remains squarely on consumer satisfaction, which is what distinguishes their offering.

“Our COVID-19 test is 75% new people buying our product, and it has an NPS [net promoter score] of 75,” she said. “And then it’s the most highly referred product, and also one of our top tests where people buy other tests. Experience matters here — we know that if someone is a promoter of Everlywell, if they rate us a nine or a 10, on NPS, they are five times more likely to purchase again on the platform.”

That’s not new for Everlywell, according to Cheek — customers have always had a high degree of satisfaction with the company’s products. But what is new is the expanded reach, and the realization among many Americans that virtual care and at-home options are available, and are effective.

“What you have is this lightbulb moment for Americans in a new way that care can be delivered where then they definitely don’t want to go back,” she said. “It’s not just for Everlywell. This is all of these verticals, that have really shifted consumer behavior around healthcare in the home, and I think that will be somewhat permanent. That is the main driver here, and is what we’re seeing, and it’s why Everlywell has resonated so well with so many Americans.”

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Find out how we’re working toward living and working in space at TC Sessions: Space 2020

The idea of people going to live and work in space, outside of the extremely unique case of the International Space Station, has long been the strict domain of science fiction. That’s changing fast, however, with public space agencies, private companies and the scientific community all looking at ways of making it safe for people to live and work in space for longer periods — and broadening accessibility of space to people who don’t necessarily have the training and discipline of dedicated astronauts.

At TC Sessions: Space on December 16 & 17, we’ll be talking to some of the people who want to make living and working in space a reality, and who are paving the way for the future of both commercial and scientific human space activity. Those efforts range from designing the systems people will need for staying safe and comfortable on long spaceflights, to ideating and developing the technologies needed for long-term stays on the surface of worlds that are far less hospitable to life than Earth, like the moon and Mars.

We’re thrilled to have Janet Kavandi from Sierra Nevada Corporation, Melodie Yashar from SEArch+, Nujoud Mercy from NASA and Axiom’s Amir Blachman joining us at TC Sessions: Space on December 16 &17 to chat about the future of human space exploration and commercial activity.

Janet Kavandi is executive vice president of Space Systems at the Sierra Nevada Corporation. She was selected as a NASA astronaut in 1994 as a member of the fifteenth class of U.S. astronauts. She completed three space flights in which she supported space station payload integration, capsule communications and robotics. She went on to serve as director of flight crew operations at NASA’s Johnson Space Center and then as director of NASA’s Glenn Research Center, where she directed cutting-edge research on aerospace and aeronautical propulsion, power and communication technologies. She retired from NASA in 2019 after 25 years of service.

More panels from TC Sessions: Space

Melodie Yashar is a design architect, technologist and researcher. She is co-founder of Space Exploration Architecture (SEArch+), a group developing human-supporting concepts for space exploration. SEArch+ won top prize in both of NASA’s design solicitations for a Mars habitat within the 3D-Printed Habitat Challenge. The success of the team’s work in NASA’s Centennial Challenge led to consultancy roles and collaborations with UTAS/Collins Aerospace, NASA Langley, ICON, NASA Marshall and others.

Nujoud Merancy is a systems engineer with extensive background in human spaceflight and spacecraft at NASA Johnson Space Center. She is currently the chief of the Exploration Mission Planning Office responsible for the team of engineers and analysts designing, developing and integrating NASA’s human spaceflight portfolio beyond low earth orbit. These missions include planning for the Orion Multi-Purpose Crew Vehicle, Space Launch System, Exploration Ground Systems, Gateway and Human Landing System.

Amir Blachman is chief business officer at Axiom, a pioneering company in the realm of commercializing space and building the first generation of private commercial space stations. He spent most of his career investing in and leading early-stage companies. Before joining Axiom as the company’s first employee, he managed a syndicate of 120 space investors in 11 countries. Through this syndicate, he funded lunar landers, communication networks, Earth-imaging satellites, antennae and exploration technologies.

In order to hear from these experts, you’ll need to pick up your ticket to TC Sessions: Space, which will also include video on demand for all sessions, which means you won’t have to miss a minute of expert insight, tips and trend spotting from the top founders, investors, technologists, government officials and military minds across public, private and defense sectors. There are even discounts for groups, students and military/government officials.

You’ll find panel discussions, interviews, fireside chats and interactive Q&As on a range of topics: mineral exploration, global mapping of the Earth from space, deep tech software, defense capabilities, 3D-printed rockets and the future of agriculture and food technology. Don’t miss the breakout sessions dedicated to accessing grant money. Explore the event agenda now and get a jump on organizing your schedule.

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Can artificial intelligence give elephants a winning edge?

Images of elephants roaming the African plains are imprinted on all of our minds and something easily recognized as a symbol of Africa. But the future of elephants today is uncertain. An elephant is currently being killed by poachers every 15 minutes, and humans, who love watching them so much, have declared war on their species. Most people are not poachers, ivory collectors or intentionally harming wildlife, but silence or indifference to the battle at hand is as deadly.

You can choose to read this article, feel bad for a moment and then move on to your next email and start your day.

Or, perhaps you will pause and think: Our opportunities to help save wildlife, especially elephants, are right in front of us and grow every day. And some of these opportunities are rooted in machine learning (ML) and the magical outcome we fondly call AI.

Open-source developers are giving elephants a neural edge

Six months ago, amid a COVID-infused world, Hackster.io, a large open-source community owned by Avnet, and Smart Parks, a Dutch-based organization focused on wildlife conservation, reached out to tech industry leaders, including Microsoft, u-blox and Taoglas, Nordic Semiconductors, Western Digital and Edge Impulse with an idea to fund the R&D, manufacturing and shipping of 10 of the most advanced elephant tracking collars ever built.

These modern tracking collars are designed to deploy advanced machine-learning (ML) algorithms with the most extended battery life ever delivered for similar devices and a networking range more expansive than ever seen before. To make this vision even more audacious, they called to fully open-source and freely share the outcome of this effort via OpenCollar.io, a conservation organization championing open-source tracking collar hardware and software for environmental and wildlife monitoring projects.

Our opportunities to help save wildlife — especially elephants — are right in front of us and grow every day.

The tracker, ElephantEdge, would be built by specialist engineering firm Irnas, with the Hackster community coming together to make fully deployable ML models by Edge Impulse and telemetry dashboards by Avnet that will run the newly built hardware. Such an ambitious project was never attempted before, and many doubted that such a collaborative and innovative project could be pulled off.

Creating the world’s best elephant-tracking device

Only they pulled it off. Brilliantly. The new ElephantEdge tracker is considered the most advanced of its kind, with eight years of battery life and hundreds of miles worth of LoRaWAN networking repeaters range, running TinyML models that will provide park rangers with a better understanding of elephant acoustics, motion, location, environmental anomalies and more. The tracker can communicate with an array of sensors, connected by LoRaWAN technology to park rangers’ phones and laptops.

This gives rangers a more accurate image and location to track than earlier systems that captured and reported on pictures of all wildlife, which ran down the trackers’ battery life. The advanced ML software that runs on these trackers is built explicitly for elephants and developed by the Hackster.io community in a public design challenge.

“Elephants are the gardeners of the ecosystems as their roaming in itself creates space for other species to thrive. Our ElephantEdge project brings in people from all over the world to create the best technology vital for the survival of these gentle giants. Every day they are threatened by habitat destruction and poaching. This innovation and partnerships allow us to gain more insight into their behavior so we can improve protection,” said Smart Parks co-founder Tim van Dam.

Open-source, community-powered, conservation-AI at work

With hardware built by Irnas and Smart Parks, the community was busy building the algorithms to make it sing. Software developer and data scientist Swapnil Verma and Mausam Jain in the U.K. and Japan created Elephant AI. Using Edge Impulse, the team developed two ML models that will tap the tracker’s onboard sensors and provide critical information for park rangers.

The first community-led project, called Human Presence Detection, will alert park rangers of poaching risk using audio sampling to detect human presence in areas where humans are not supposed to be. This algorithm uses audio sensors to record sound and sight while sending it over the LoRaWAN network directly to a ranger’s phone to create an immediate alert.

The second model they named “Elephant Activity Monitoring.” It detects general elephant activity, taking time-series input from the tracker’s accelerometer to spot and make sense of running, sleeping and grazing to provide conservation specialists with the critical information they need to protect the elephants.

Another brilliant community development came from the other side of the world. Sara Olsson, a Swedish software engineer who has a passion for the national world, created a TinyML and IoT monitoring dashboard to help park rangers with conservation efforts.

With little resources and support, Sara built a full telemetry dashboard combined with ML algorithms to monitor camera traps and watering holes, while reducing network traffic by processing data on the collar and considerably saving battery life. To validate her hypothesis, she used 1,155 data models and 311 tests!

Sara Olsson's TinyML and IoT monitoring dashboard

Sara Olsson’s TinyML and IoT monitoring dashboard. Image Credits: Sara Olsson

She completed her work in the Edge Impulse studio, creating the models and testing them with camera traps streams from Africam using an OpenMV camera from her home’s comfort.

Technology for good works, but human behavior must change

Project ElephantEdge is an example of how commercial and public interest can converge and result in a collaborative sustainability effort to advance wildlife conservation efforts. The new collar can generate critical data and equip park rangers with better data to make urgent life-saving decisions about protecting their territories. By the end of 2021, at least ten elephants will be sporting the new collars in selected parks across Africa, in partnership with the World Wildlife Fund and Vulcan’s EarthRanger, unleashing a new wave of conservation, learning and defending.

Naturally, this is great, the technology works, and it’s helping elephants like never before. But in reality, the root cause of the problem runs much more profound. Humans must change their relationship to the natural world for proper elephant habitat and population revival to occur.

“The threat to elephants is greater than it’s ever been,” said Richard Leakey, a leading palaeoanthropologist and conservationist scholar. The main argument for allowing trophy or ivory hunting is that it raises money for conservation and local communities. However, a recent report revealed that only 3% of Africa’s hunting revenue trickles down to communities in hunting areas. Animals don’t need to die to make money for the communities you live around.

With great technology, collaboration and a commitment to address the underlying cultural conditions and the ivory trade that leads to most elephant deaths, there’s a real chance to save these singular creatures.

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Let’s move beyond 2020 and start thinking about the 2020s

Seasonality is critical for the media. End-of-year wrap-ups, best books for the summer, things to do this weekend — they’re all methods to note not only the passage of time, but also to begin to set the tone for what is about to come.

Everyone covered the end of the 2010s with aplomb, a decade that, at least in tech, was filled with huge milestones, including some of the largest startup IPOs of all time and also some of the worst lows we’ve ever seen — frauds and product snafus that were larger and grander than ever before.

Those retrospectives though were supposed to be complemented with the prospectives — what’s about to happen in the 2020s? What’s next? Where is progress and innovation going to come from this decade? We barely got this decade going of course before the pandemic hit, the U.S. elections got into full swing, and it has been non-stop debates about school openings, stump speeches, and whether a vaccine will arrive soon, shortly, distantly, or I guess never at all.

Our collective long-term vision has been terrorized by the short-term news that constantly rolls through our feeds. It’s time to change that.

Regardless of the outcome next week (or maybe next month?) in the U.S. or the final vaccine timeline for COVID-19, we still need to define what this next decade is about, particularly in technology, where the list of issues is widening and the number of sectors that have the potential for innovation expands. We need to think beyond the mundane daily operational challenges of startups and fundraises and consider the values we want to empower and inform in the years ahead.

Many of these questions go beyond mere “apps” to encompass areas of law, culture, societies, and ultimately, what we want to leave for the next generations coming behind all of us.

Over on EC, I’ve written a deep dive into five broad “clusters” of change that have the potential to transform our world in the 2020s, in areas like “wellness,” “climate,” “data society,” “creativity,” and “fundamentals” that each hold so many startups ideas that I truly am excited about what’s about to be unleashed this decade.

Yet, whether you like my amorphous groupings or not, I encourage everyone in the startup ecosystem to begin thinking about how to connect the dots between different startups, different sectors, and how our society is organized. The next generation of startup ideas are not going to come from the proverbial whiteboard and some Swift engineering in Xcode. They’re going to come from much more methodical and deeper introspection about what our society and all of us need going forward.

The 2010s were all about executing on the dreams of mobile, cloud, and basic data. Those ideas had historical antecedents going back in some cases decades or more (Vannevar Bush’s description of the internet dates to the 1940s, for instance). But for the first time, we had the infrastructure and the users to actually build these products and make them useful. It was quite possibly the most extensive greenfield opportunity in the history of technology.

Yet, that greenfield is increasingly fallow. Business has cycles and seasonality as much as media reporting does. The easy stuff has been done. Building an app to text people has been done by dozens before. There are a multitude of analytics packages, and payroll providers, and credit card issuers, and more. What’s required this decade is to start to encroach on the harder questions, topics like how we build a better society, make people more empowered to do deep and creative work, and how we can build a more resilient and sustainable planet for all.

None of these topics have pure point solutions — but that is what is going to make this coming decade so damn interesting. It’s going to take intense collaboration, multiple inventions and products, as well as legal and cultural changes, to realize these next improvements. If you have grown sick (as I have) of the latest apps and SaaS products du jour, this decade is going to be an amazing one to experience and build.

It’s a new season to lift our heads up a little and look around. The world, yes, is filled with problems — terrible, horrible, and stultifying problems that can at times feel all but insurmountable. But human ingenuity has always found a way, and we have never had such an extensive toolbox to confront all of them simultaneously. If the 2010s were all about humans learning technology, the 2020s is all about technology learning about humans.

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5 startup theses that will transform the 2020s

I wrote a call to action for the tech community to dive deeper into the future of innovation this coming decade. Where are some of the hot spots going to come from though? Below, I have assembled a very loose set of five clusters broadly categorized into “wellness,” “climate,” “data society,” “creativity,” and “fundamentals” that offer some scaffolding for understanding what’s about to come this decade and how and any entrepreneur — really, any citizen — can start to build progress.

Take these ideas as inspirational — they aren’t limits, nor should the borders of these categories be seen as anything but liminal. I know in the daily cavalcade of news, it can be hard to feel inspired by the future. But do be! There is so much more coming this decade, that we may look back at the 2010s as the dark ages of innovation.

“Wellness”

Photo by Ian Forsyth/Getty Images

First, there is a cluster around “wellness.” That sometimes gets elided to just “mental health” and reduced to a prescription bottle, but this area really encompasses so much more than that. How do we build humanistic societies with strong social fabrics that enliven, enrich, and build meaning for our lives?

Yes, we’ve seen strong demand for wellness apps like Calm and Headspace. Exercise hardware like Peloton, Mirror and others along with platforms particularly around group classes have been a huge mainstay during this pandemic era. Mental health treatment itself is getting a makeover as startups reinvigorate the in-person therapist and psychiatrist visit as well as think about new models of delivering mental health services virtually. Even LSD is starting to make headways as a potentially useful tool, and psychedelics are going to be an interesting area to watch in the coming years.

All those areas still are ripe for innovation, yet, how do we go deeper and start to address the root causes of anguish and despair?

Take work, for instance. How do we make workers feel more secure and meaningful in a remote world where gig work makes up an increasing fraction of all employment? The precariousness of labor has a direct effect on wellness, and it’s going to take a much greater leap than a reclassification battle like in California this election cycle to make work “work” for all people. What can we do around stability of pay whether from employment or maybe programs like universal basic income to give people a sense of ownership over their destinies?

How do we start to create the bonds of neighborhoods and communities that hold people together and offer solace in times of despair? Part of this is improving the average town and making it more human-centric (that’s like 20 startups right there), but it also includes constructing more vibrant and expressive virtual worlds where we can find online neighborhoods that are safer than the dumpster fires we find on the web today.

Then there’s the health system in general. While America deservedly receives huge criticism for its overpriced and under-insured system, health systems worldwide face incredible pressures to improve efficiency. How do we make care better, more personalized, and more open? How do we reduce costs while ensuring that care is accurate and delivered expeditiously? There is huge work to be done to make health a key component.

To increase wellness for individuals, we need to increase wellness for our societies, building systems that are designed for the humans that inhabit them. Flexibility with security, engagement with individuality, expression with support. Our existing systems are already antiquated — and we haven’t come up with anything better.

This cluster is about asking “How does the world make us feel?”

“Climate”

Image Credits: Jacobs Stock Photography (opens in a new window) / Getty Images

The second cluster has to do broadly with the Earth, climate, crisis, and resilience. Climate change is real and not going away, and quite literally billions of people are going to feel its effects in the coming decades. Rising tides, massive hurricanes, power outages, wildfires, droughts and more are going to become part of our daily news vernacular.

Resiliency is not something that any one technology can offer, but innovation has huge potential to allow more of our systems to adapt to the changing nature of our world today.

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Genemod raises cash for its lab inventory management service used by research institutions around the US

Genemod, a software for laboratory inventory management used by institutions like the University of Washington School of Medicine; the University of California, Berkeley; and the National Institutes of Health; has raised $1.7 million from a clutch of top venture investors.

The small seed round came from Defy.vc, with additional commitments from Omicron, Unpopular Ventures, Underdog Labs and Canaan Partners.

With the capital, the company said it would develop a product management software to complement its existing inventory management service.

These are small stepping stones on the way to paving a new road to pharmaceutical development based on collaborative data-sharing technology, the company said.

It’s a road that companies like Owkin and Within3 have raised big dollars to pave already. They’re just two companies in the market that are building collaborative software for the pharmaceutical industries.

Genemod’s pitch is that it can increase productivity by giving researchers a better window into the tools they have and the tools they need to accelerate the process of experimentation without downtime while waiting for supplies.

“While the life sciences industry is known for developing inventive solutions to some of the world’s biggest health problems, many scientists are working with manual, siloed and inefficient processes,” said Jacob Lee, the company’s chief executive.

Alongside the funding, Defy.vc will serve as a growth partner for Genemod, supporting the company as it works to roll out its product road map for the latter half of the year. Neil Sequeira, co-founder and managing director of Defy.vc, will join Genemod’s board of directors.

Founded in 2018, Genemod was part of the first cohort of Venture Out Startups, a pre-seed investment program designed to encourage entrepreneurs to start their own businesses.

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Rocket startup Astra’s first orbital launch attempt ends early due to first-stage burn failure

Alameda-based rocket launch startup Astra finally got the chance to launch its first orbital test mission from its Alaska-based facility on Saturday, after the attempt had been delayed multiple times due to weather and other issues. The 8:19 PM PT lift-off of Astra’s ‘Rocket 3.1’ test vehicle went well – but the flight ended relatively shortly after that, during the first-stage engine burn and long before reaching orbit.

Astra wasn’t expecting to actually reach orbit on this particular flight – it has always said that its goal is to reach orbit within three test flights of Rocket, and prior to this first mission, said that the main goal was to have a good first-stage burn on this one specifically. This wasn’t a nominal first-stage burn, of course, since that’s when the failure occurred, but the company still noted in a blog post that “the rocket performed very well” according to their first reviews of the data.

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— Jennifer Culton (@CultonJennifer) September 12, 2020

The mission ended early because of what appears to be a bit of unwanted back-and-forth wobbling in the rocket as it ascended, Astra said, which caused an engine shutdown by the vehicle’s automated safety system. That’s actually also good news, since it means the steps Astra has taken to ensure safe failures are also working as designed. You can see in the video above that the light of the rocket’s engines simply go out during flight, and then some time later there’s a fireball from its impact on the ground.

It’s worth noting that most first flights of entirely new rockets don’t go entirely as planned – including those by SpaceX, whose founder and CEO Elon Musk expressed his encouragement to the Astra team on Twitter. Likewise, Rocket Lab’s Peter Beck also chimed in with support. Not to mention that Astra has been operating under extreme conditions, with just a six-person team on the ground in Alaska to deploy the launch system, which was set up in under a week, due to the COVID-19 crisis.

Astra will definitely be able to get a lot of valuable data out of this launch that it can use to put towards improving the chances of its next try going well. The company notes that it expects to review said data “over the next several weeks” as it proceeds towards the second flight in this series of three attempts. Rocket 3.2, the test article for that mission, is already completed and awaiting that try.

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