imaging
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I’m a native French data scientist who cut his teeth as a research engineer in computer vision in Japan and later in my home country. Yet I’m writing from an unlikely computer vision hub: Stuttgart, Germany.
But I’m not working on German car technology, as one would expect. Instead, I found an incredible opportunity mid-pandemic in one of the most unexpected places: An ecommerce-focused, AI-driven, image-editing startup in Stuttgart focused on automating the digital imaging process across all retail products.
My experience in Japan taught me the difficulty of moving to a foreign country for work. In Japan, having a point of entry with a professional network can often be necessary. However, Europe has an advantage here thanks to its many accessible cities. Cities like Paris, London, and Berlin often offer diverse job opportunities while being known as hubs for some specialties.
While there has been an uptick in fully remote jobs thanks to the pandemic, extending the scope of your job search will provide more opportunities that match your interest.
I’m working at the technology spin-off of a luxury retailer, applying my expertise to product images. Approaching it from a data scientist’s point of view, I immediately recognized the value of a novel application for a very large and established industry like retail.
Europe has some of the most storied retail brands in the world — especially for apparel and footwear. That rich experience provides an opportunity to work with billions of products and trillions of dollars in revenue that imaging technology can be applied to. The advantage of retail companies is a constant flow of images to process that provides a playing ground to generate revenue and possibly make an AI company profitable.
Another potential avenue to explore are independent divisions typically within an R&D department. I found a significant number of AI startups working on a segment that isn’t profitable, simply due to the cost of research and the resulting revenue from very niche clients.
I was particularly attracted to this startup because of the potential access to data. Data by itself is quite expensive and a number of companies end up working with a finite set. Look for companies that directly engage at the B2B or B2C level, especially retail or digital platforms that affect front-end user interface.
Leveraging such customer engagement data benefits everyone. You can apply it towards further research and development on other solutions within the category, and your company can then work with other verticals on solving their pain points.
It also means there’s massive potential for revenue gains the more cross-segments of an audience the brand affects. My advice is to look for companies with data already stored in a manageable system for easy access. Such a system will be beneficial for research and development.
The challenge is that many companies haven’t yet introduced such a system, or they don’t have someone with the skills to properly utilize it. If you finding a company isn’t willing to share deep insights during the courtship process or they haven’t implemented it, look at the opportunity to introduce such data-focused offerings.
I have a sweet spot for early-stage companies that give you the opportunity to create processes and core systems. The company I work for was still in its early days when I started, and it was working towards creating scalable technology for a specific industry. The questions that the team was tasked with solving were already being solved, but there were numerous processes that still had to be put into place to solve a myriad of other issues.
Our year-long efforts to automate bulk image editing taught me that as long as the AI you’re building learns to run independently across multiple variables simultaneously (multiple images and workflows), you’re developing a technology that does what established brands haven’t been able to do. In Europe, there are very few companies doing this and they are hungry for talent who can.
So don’t be afraid of a little culture shock and take the leap.
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Like other areas of healthcare, the dental industry is steadily embracing technology. But while much of it is in the orthodontic realm, other startups, like Adra, are bringing artificial intelligence into a dentist’s day-to-day workflow, particularly in finding cavities, of what will be a $435.08 billion global dental services market this year.
The Singapore-based company was founded in 2021, but was an idea that started last year. Co-founder Hamed Fesharaki has been a dentist for over a decade and owns two clinics in Singapore.
He said dentists learn to read X-rays in dental school, but it can take a few years to get good at it. Dentists also often have just minutes to read them as they hop between patients.
As a result, dentists end up misdiagnosing cavities up to 40% of the time, co-founder Yasaman Nematbakhsh said. Her background is in imaging, where she developed an artificial intelligence machine identifying hard-to-see cancers, something Fesharaki thought could also be applied to dental medicine.
Providing the perspective of a more experienced dentist, Adra’s intent is to make every dentist “a super dentist,” Fesharaki told TechCrunch. Its software detects cavities and other dental problems on dental X-rays faster and 25% more accurately, so that clinics can use that time to better serve patients and increase revenue.
Example of Adra’s software. Image Credits: Adra
“We are coming from the eye of an experienced dentist to help illustrate the problems by turning the X-rays into images to better understand what to look for,” he added. “Ultimately, the dentist has the final say, but we bring the experience element to help them compare and give them suggestions.”
By quickly pointing out the problem and the extent of it, dentists can decide in what way they want to treat it — for example, do a filling, a fluoride treatment or wait.
Along with third co-founder Shifeng Chen, the company is finishing up its time in Y Combinator’s summer cohort and has raised $250,000 so far. Fesharaki intends to do more formalized seed fundraising and wants to bring on more engineers to tackle user experience and add more features.
The company has a few clinics doing pilots and wants to attract more as it moves toward a U.S. Food and Drug Administration clearance. Fesharaki expects it to take six to nine months to receive the clearance, and then Adra will be able to hit the market in late 2022 or early 2023.
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LA and Bangalore-based space startup Pixxel has closed a $7.3 million seed round, including newly committed capital from Techstars, Omnivore VC and more. The company has also announced a new product focus: hyperspectral imaging. It aims to provide that imaging at the highest resolution commercially available, via a small satellite constellation that will provide 24-hour global coverage once it’s fully operational.
Pixxel’s funding today is an extension of the $5 million it announced it had raised back in August of last year. At the time, the startup had only revealed that it was focusing on Earth imaging, and it’s unveiling its specific pursuit of hyperspectral imaging for the first time today. Hyperspectral imaging uses far more light frequencies than the much more commonly used multispectral imaging used in satellite observation today, allowing for unprecedented insight and detection of previously invisible issues, including migration of pest insect populations in agriculture, or observing gas leaks and other ecological threats.
“We started with analyzing existing satellite images, and what we could do with this immediately,” explained Pixxel co-founder and CEO Awais Ahmed in an interview. “We realized that in most cases, it was not able to even see certain problems or issues that we wanted to solve — for example, we wanted to be able to look at air pollution and water pollution levels. But to be able to do that there were no commercial satellites that would enable us to do that, or even open source satellite data at the resolution that would enable us to do that.”
The potential of hyperspectral imaging on Earth, across a range of sectors, is huge, according to Ahmed, but Pixxel’s long-term vision is all about empowering a future commercial space sector to make the most of in-space resources.
“We started looking at space as a sector for us to be able to work in, and we realized that what we wanted to do was to be able to enable people to take resources from space to use in space,” Ahmed said. That included asteroid mining, for example, and when we investigated that, we found hyperspectral imaging was the imaging tech that would enable us to map these asteroids as to whether they contain these metals or these minerals. So that knowledge sort of transferred to this more short-term problem that we were looking at solving.”
Part of the reason that Pixxel’s founders couldn’t find existing available hyperspectral imaging at the resolutions they needed was that as a technology, it has previously been restricted to internal governmental use through regulation. The U.S. recently opened up the ability for commercial entities to pursue very high-resolution hyperspectral imaging for use on the private market, effectively because they realized that these technical capabilities were becoming available in other international markets anyway. Ahmed told me that the main blocker was still technical, however.
“If we were to build a camera like this even two or three years ago, it would not have been possible because of the miniaturized sensors, the optics, etc.,” he said. “The advances that have happened only happened very recently, so it’s also the fact that this the right time to take it from the scientific domain to the commercial domain.”
Pixxel now aims to have its first hyperspectral imaging satellite launched and operating on orbit within the next few months, and it will then continue to launch additional satellites after that once it’s able to test and evaluate the performance of its first spacecraft in an actual operating environment.
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SpaceX has set a new all-time record for the most satellites launched and deployed on a single mission, with its Transporter-1 flight on Sunday. The launch was the first of SpaceX’s dedicated rideshare missions, in which it splits up the payload capacity of its rocket among multiple customers, resulting in a reduced cost for each but still providing SpaceX with a full launch and all the revenue it requires to justify lauding one of its vehicles.
The launch today included 143 satellites, 133 of which were from other companies who booked rides. SpaceX also launched 10 of its own Starlink satellites, adding to the already more than 1,000 already sent to orbit to power SpaceX’s own broadband communication network. During a launch broadcast last week, SpaceX revealed that it has begun serving beta customers in Canada and is expanding to the UK with its private pre-launch test of that service.
Customers on today’s launch included Planet Labs, which sent up 48 SuperDove Earth imaging satellites; Swarm, which sent up 36 of its own tiny IoT communications satellites, and Kepler, which added to its constellation with eight more of its own communication spacecraft. The rideshare model that SpaceX now has in place should help smaller new space companies and startups like these build out their operational on-orbit constellations faster, complementing other small payload launchers like Rocket Lab, and new entrant Virgin Orbit, to name a few.
This SpaceX launch was also the first to deliver Starlink satellites to a polar orbit, which is a key part of the company’s continued expansion of its broadband service. The mission also included a successful landing and recovery of the Falcon 9 rocket’s first-stage booster, the fifth for this particular booster, and a dual recovery of the fairing halves used to protect the cargo during launch, which were fished out of the Atlantic ocean using its recovery vessels and will be refurbished and reused.
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The 2020 class of Techstars Starburst Space Accelerator is graduating with an official demo day on Wednesday at 10 a.m. PDT (1 p.m. EDT), and you can watch all the teams present their startups live via the stream above. This year’s class includes 10 companies building innovative new solutions to challenges either directly or indirectly related to commercial space.
Techstars Starburst is a program with a lot of heavyweight backing from both private industry and public agencies, including from NASA’s JPL, the U.S. Air Force, Lockheed Martin, Maxar Technologies, SAIC, Israel Aerospace Industries North America and The Aerospace Corporation. The program, led by managing director Matt Kozlov, is usually based locally in LA, where much of the space industry has significant presence, but this year the demo day is going online due to the ongoing COVID-19 situation.
Few, if any, programs out there can claim such a broad representation of big-name partners from across commercial, military and general civil space in terms of stakeholders, which is the main reason it manages to attract a range of interesting startups. This is the second class of graduating startups from the Starburst Space Accelerator; last year’s batch included some exceptional standouts like in-orbit refueling company Orbit Fab (also a TechCrunch Battlefield participant), imaging microsatellite company Pixxel and satellite propulsion company Morpheus.
As for this year’s class, you can check out a full list of all 10 participating companies below. The demo day presentations begin tomorrow, September 9 at 10 a.m. PDT/1 p.m. PDT, so you can check back in here then to watch live as they provide more details about what it is they do.
A synthetic data API that allows AI teams to generate their own custom datasets up to 99% faster — no tedious collection, curation or labelling required.
founders@bifrost.ai
A virtual reality content management system that makes it super easy for curriculum designers to create and deploy immersive learning experiences.
founders@holos.io
Infinite Composites Technologies
The most efficient gas storage systems in the universe.
founders@infinitecomposites.com
Lux is developing next generation System-on-Foil electronics.
founders@luxsemiconductors.com
Natural Intelligence Systems, Inc.
Developer of next-generation pattern-based AI/ML systems.
leadership@naturalintelligence.ai
Engineering collaboration software for teams building challenging deep tech projects.
founders@prewittridge.com
Providing satellite radar-based intelligence for decision makers.
founders@satim.pl
Developing stratospheric microballoons to capture the freshest, high-res earth observation data.
founders@urbansky.space
Real-time remote robotic controls.
founders@vrotors.com
Proactive air insights.
founders@weavair.com
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Bengaluru-based Pixxel is getting ready to launch its first Earth imaging satellite later this year, with a scheduled mission aboard a Soyuz rocket. The roughly one-and-a-half-year-old company is moving quickly, and today it’s announcing a $5 million seed funding round to help it accelerate even more. The funding is led by Blume Ventures, Lightspeed India Partners, and growX ventures, while a number of angel investors participated.
This isn’t Pixxel’s first outside funding: It raised $700,000 in pre-seed money from Techstars and others last year. But this is significantly more capital to invest in the business, and the startup plans to use it to grow its team, and to continue to fund the development of its Earth observation constellation.
The goal is to fully deploy said constellation, which will be made up of 30 satellites, by 2022. Once all of the company’s small satellites are on orbit, the Pixxel network will be able to provide globe-spanning imaging capabilities on a daily basis. The startup claims that its technology will be able to provide data that’s much higher quality when compared to today’s existing Earth-imaging satellites, along with analysis driven by PIxxel’s own deep learning models, which are designed to help identify and even potentially predict large problems and phenomena that can have impact on a global scale.
Pixxel’s technology also relies on very small satellites (basically the size of a beer fridge) that nonetheless provide a very high-quality image at a cadence that even large imaging satellite networks that already exist would have trouble delivering. The startup’s founders, Awais Ahmed and Kshitij Khandelwal, created the company while still in the process of finishing up the last year of their undergraduate studies. The founding team took part in Techstars’ Starburst Space Accelerator last year in LA.
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Key Pixel team members Marc Levoy and Mario Queiroz are out at Google. The departures, first reported by The Information, have been confirmed on the pages of the former Distinguished Engineer and Pixel General Manager, respectively.
Both members were key players on Google’s smartphone hardware team before exiting earlier this year. Levoy was a key member of the Pixel imaging team, with an expertise in computational photography that helped make the smartphone’s camera among the best in class. Queiroz was the number two on the Pixel team.
The exits come as the software giant has struggled to distinguish itself in a crowded smartphone field. The products have been generally well-received (with the exception of the Pixel 4’s dismal battery life), but the Android-maker has thus far been unable to rob much market share from the likes of Samsung and Huawei.
The Information report sheds some additional light on disquiet among the Pixel leadership. Hardware head Rick Osterloh reportedly voiced some harsh criticism during an all-hands late last year. It certainly seems possible the company saw fit to shake things up a bit, though Google declined TechCrunch’s request for comment.
Breaking into the smartphone market has been a white whale for the company for some time. Google has explored the space through its Nexus partnerships, along with its short-lived Motorola Mobility acquisition (2012-2014). The Pixel is possibly the most successful of these projects, but Google’s struggles have coincided with an overall flattening of the market.
The company did find some success with last year’s budget Pixel 3A. The followup Pixel 4A was rumored for a late May launch, though the device has reportedly been delayed.
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The world’s forests are ablaze, under threat from illegal logging and disappearing due to the less dramatic environmental degradation wrought by drought and other signs of climate change.
It’s part of the negative feedback loop that seems to be accelerating climate change as greenhouse gases accumulate in the atmosphere, but one startup company is trying to facilitate reforestation by supporting carbon offsets that specifically target the world’s flora.
Pachama has raised $4.1 million to create a marketplace where companies can support carbon offset projects. The company is backed by some big names in tech investment, like former Uber executive Ryan Graves, through his private investment firm, Saltwater, and Chris Sacca, a prominent early investor in Uber, through his Lowercase Capital firm.
Founded by Diego Saez-Gil, a serial entrepreneur whose last company was a startup selling a “smart-suitcase,” Pachama is aiming to bring reforestation projects to the carbon markets whose impacts can be independently verified by the company’s monitoring software to ensure their ability to offset emissions.
“We were making a smart connected suitcase which got banned,” says Saez-Gil. “After that I decided to take some time off and I was quite burnt out. I wanted to do some soul searching and tried to decide what I wanted to put my efforts [into].”
He traveled to South America and did a trip through the Amazon rain forest in Peru. It was there that Saez-Gil saw the effects of deforestation in an area that represents a huge carbon dioxide offset for the planet.
“There are about 1 billion hectares on the planet that could be reforested,” says Saez-Gil.
That opportunity — to contribute to the perpetuation of independently validated carbon markets around the world — is what convinced investors like Paul Graham, Justin Kan, Daniel Kan, Gustaf Alströmer, Peter Reinhardt, Jason Jacobs and Chris Sacca from Lowercase Capital, as well as funds such as Social+Capital, Global Founders Capital and Atomico, to contribute to the company’s $4.1 million funding.
It’s a pretty big consortium to finance what amounts to a small capital commitment (given the size of the funds under management that these investors have at their disposal), but investors are right to be a little wary.
Carbon markets are driven by policy, and policymakers have been reluctant to draft legislation that would put a high enough price on carbon emissions to make those markets viable.
“Pachama’s carbon credit marketplace is launching at a pivotal moment when awareness of the climate crisis is reaching an all-time high, and businesses are increasingly looking to become carbon neutral,” said Ryan Graves, Pachama’s lead investor and new director said in a statement. “What attracted me to Pachama was the company’s use of technology to bring trust to an industry that desperately needs it, and gives the verifiable results to the purchasers of carbon credits.”
Awareness doesn’t equal political action, however, and Pachama needs the political will of both governments and consumers to move the needle on creating viable carbon trading markets.
Pachama’s business becomes profitable only when the price of carbon moves beyond $15 per ton of carbon dioxide (or similar emissions) offset. Currently, there are only two markets in the world where that threshold has been reached — the California market and Europe, according to Saez-Gil.
For Pachama’s founder, forest preservation and reforestation projects can have outsized benefits. “There are only 500 forest projects that are certified today… we need tens of thousands,” says Saez-Gil. “There are one billion hectares on the planet available for reforestation without competing with agriculture.”
The restoration of native forests can contribute to replenishing global biodiversity, and captures more carbon than cultivating forests for industrial use, but both are better than destruction to grow row crops or support animal husbandry, Saez-Gil says.
Pachama sources projects that are approved by existing certification bodies, but offers its customers monitoring and management services through access to satellite imagery and sensors that provide information on emissions and carbon capture on reforested land.
It’s a potential solution to the problem of deforestation that’s plaguing countries like Brazil. “The government in Brazil, they want to generate income for the country,” says Saez-Gil. If carbon markets paid as much as ranching, it would reduce the need for animal husbandry and plantation farming in Brazil, Indonesia or places like Peru.
Today, most investments in reforestation projects are done through middlemen, which increases opacity and the chance that projects are being double-counted or sold, according to Saez-Gil. Pachama has a person who is contacting forest project developers so that they can list the projects independently. Then the company verifies the offsets with satellite imaging systems.
The company currently has 23 forest projects — three in the Amazon rain forest in Brazil and Peru and projects in the U.S. in California, Vermont, New Jersey, Connecticut and Maine .
Saez-Gil has high hopes for the future of carbon markets based on demand coming, in part, from new regulations like those imposed on the airline industry.
“Airlines will have to offset part of their emissions as part of CORSIA,” says Saez-gil. That’s an offset of 160 million tons of emission per year. “There is all this demand coming for different offsets for different markets that will make the price go up.”
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Climate risk, including extreme events and the related pressures our environment, are fundamentally affecting the way businesses and governments operate — both tactically and strategically. Increasing climate volatility is causing food supply disruptions and increasing pressure on Enterprises (including financial institutions, insurers and producers) to disclose what’s going on.
The trouble is, while there is a lot of data about all this, its complexity, incompleteness and sheer volume is too vast for humans to process with the tools available today. So just as the climate changes, we are faced with “data chaos.” Equally, other parts of the world suffer from data scarcity, making it much harder to provide useful and timely analysis.
So the challenge is to address these issues simultaneously. So a new startup, Cervest, has created an AI-driven platform designed to inform the decision-making capabilities of businesses, governments and growers in the face of increasing climate volatility.
Cervest, has now closed a £3.7 million investment round to fund the launch of its real-time, climate forecasting platform.
The round was led by deep-tech investor Future Positive Capital, with co-investor Astanor Ventures . The seed-stage funding round brings the company’s total funding to more than £4.5 million.
Built on three years of research and development by a team of scientists, mathematicians, developers and engineers, Cervest says its Earth Science AI platform can analyze billions of data points to forecast how changes in the climate will impact the future of entire countries, right down to individual landscapes.
It does this by combining research and modeling techniques taken from proven Earth sciences — including atmospheric science, meteorology, hydrology and agronomy — with artificial intelligence, imaging, machine learning and Bayesian statistics.
Using large collections of satellite imagery and probability theory, the platform can identify signals, or early-warning signs, of extreme events such as floods, fires and strong winds. It also can spot changes in soil health and identify water risk.
Cervest says the platform could do such things as reveal the optimum location to build a new factory; warn a wheat grower that their crop yield isn’t expected to meet its targets; or be used by insurers to help them set premiums for the next 12 months.
The team comes from a network of more than 30 universities, including Imperial College, The Alan Turing Institute, Cambridge, UCL, Harvard and Oxford, and has published more than 60 peer-reviewed scientific papers.
A beta version of the platform is due to launch in Q1 2020.
Iggy Bassi, founder & CEO, Cervest said: “Our goal is to empower everyone to make informed decisions that improve the long-term resilience of our planet. Today decision-makers are struggling with climate uncertainty and extreme events and how they are affecting their business operations, assets, investments, or policy choices.”
Sofia Hmich, founder, Future Positive Capital said: “With reports suggesting we have fewer than 60 years of farming left unless drastic action is taken, the need for science-backed decisions could not be greater. Businesses and policymakers hold the key to change and with access to Cervest’s proprietary AI technology they can start to make that change a reality at low cost — before it’s too late.”
Bassi previously ran the impact-led agribusiness GADCO, which was supported by Acumen Fund, Soros, Gates Foundation, World Bank and Syngenta . Its impact was featured in UNDP, World Economic Forum, FT, The Guardian and Huff Post. He previously built a software company focused on data analytics.
Cervest was inspired by Bassi’s experience building a farm-to-market agribusiness whilst confronting first-hand the impacts of climate and natural resource volatilities.
The Cervest team includes eight scientists and four PhDs. Between them, they have published more than 60 peer-reviewed scientific papers with more than 3,000 citations in high-profile titles, including Nature, Proceedings of the National Academy of Sciences and The Royal Statistical Society.
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The private space industry is seeing a revolution driven by cube satellites, which are affordable, lightweight satellites that are much easier than traditional satellites to design, build and launch. It’s paving the way for new businesses like Wyvern, an Alberta-based startup that provides a very specific service that wouldn’t even have been possible to offer a decade ago: Relatively low-cost access to hyperspectral imaging taken from low-Earth orbit, which is a method for capturing image data of Earth across many more bands than we’re able to see with our eyes or traditional optics.
Wyvern’s founding team, including CEO Chris Robson, CTO Kristen Cote, CSO Callie Lissinna and VP of Engineering/COO Kurtis Broda, had experience building satellites through their schooling, including working on building the first-ever satellite in space designed and built in Alberta, Ex-Alta 1. They’ve also developed their own proprietary optical technology to develop the kind of imagery that will best serve the needs of the clients they’re pursuing. Their first target market, for instance, are farmers, who will be able to log into the commercial version of their product and get up-to-date hyperspectral imaging data of their fields, which can help them optimize yield, detect changes in soil makeup (which will tell them if they have too little nitrogen) or even help them spot invasive plants and insects.
“We’re doing all sorts of things that directly affect the bottom line of farmers,” explained Robson in an interview. “If you can detect them, and you can quantify them, and the farmers can make decisions on how to act and ultimately how to increase the bottom line. A lot of those things you can’t do with multi-spectral [imaging] right now, for example, you can’t speciate with multi-spectral, so you can’t detect invasive species.”
Multi-spectral imaging, in contrast to hyperspectral imaging, measures light on average in between three to 15 bands, while hyperspectral can manage as many as hundreds of adjoining or neighboring bands, which is why it can do more specialist things like identifying the species of animals on the ground in an observed area from a satellite’s perspective.
Hyperspectral imaging is already a proven technology in use around the world for exactly these purposes, but the main way it’s captured is via drone airplanes, which Robson says is much more costly and less efficient than using CubeSats in orbit.
“Drone airplanes are really expensive, and with us, we’re able to provide it for 10 times less than a lot of these drones currently in use,” he said.
Wyvern’s business model will focus on owning and operating the satellites; providing access to the data, it caters to customers in a way that’s easy for anyone to access and use.
“Our key differentiator is the fact that we allow access to actual actionable information,” Robson said. “Which means that if you want to order imagery, you do it through a web browser, instead of calling somebody up and waiting one to three days to get a price on it, and to find out whether they could even do what you’re asking.”
Robson says that it’s only even become possible and affordable to do this because of advances in optics (“Our optical system allows us to basically put what should be a big satellite into the form factor of a small one without breaking the laws of physics,” Robson told me), small satellites, data storage and monitoring stations, and privatized launches making space accessible through hitching a ride on a launch alongside other clients.
Wyvern will also occupy its own, underserved niche providing this highly specialized info, first to agricultural clients, and then expanding to five other verticals, including forestry, water quality monitoring, environmental monitoring and defense. This isn’t something other more generalist satellite imaging providers like Planet Labs will likely be interested in pursuing, Robson said, because it’s an entirely different kind of business with entirely different equipment, clientele and needs. Eventually, Wyvern hopes to be able to open more broadly access to the data it’s gathering.
“You have the right to access [information regarding] the health of the Earth regardless of who you are, what government you’re under, what country you’re a part of or where you are in the world,” he said. “You have the right to see how other humans are treating the Earth, and to see how you’re treating the Earth and how your country is behaving. But you also have the right to take care of the Earth, because we’re super predators. We’re the most intelligent species. We are; we have the responsibility of being stewards of the Earth. And part of that, though, is being able to add almost omniscience of what’s going on in the Earth in the same way that we understand what’s going on in our bodies. That’s what we want for people.”
Right now, Wyvern is very early on the trajectory of making this happen — they’re working on their first round of funding, and have been speaking to potential customers and getting their initial product validation work finalized. But with actual experience building and launching satellites, and a demonstrated appetite for what they want to build, it seems like they’re off to a promising start.
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