
EarthDaily Analytics will Launch Its First Satellite This Summer, Reaches Major Milestone in World's Most Advanced Earth Observation Change Detection System
EarthDaily Constellation Unlocks the Power of Broad-Area Change Detection to Deliver Unmatched Value Across High-Impact Industries
VANCOUVER, BC, April 10, 2025 /PRNewswire/ -- EarthDaily Analytics ("EarthDaily"), a global leader in Earth Observation (EO) data and analytics, today announced a major milestone in the development of its groundbreaking 10-satellite EarthDaily Constellation: the company has successfully integrated its first payload with one of Loft Orbital's Longbow satellite buses and completed spacecraft-level environmental testing. This achievement marks a significant leap forward and clears the way for the first EarthDaily Constellation satellite to launch into orbit this summer.
The EarthDaily Constellation is poised to redefine Earth Observation in the AI era, unlocking the power of broad-area change detection and daily global revisit. Upon deployment, the EarthDaily Constellation will provide high-quality insights of critical value to high-impact industries, unlocking operational efficiencies, identifying and mitigating emerging and unrealized risks, and understanding the world at a scale and depth previously unavailable in the market.
"We are driven by a mission to empower industries and governments with the tools they need to make informed, transformative decisions," said Don Osborne, CEO of EarthDaily Analytics. "The EarthDaily Constellation will deliver unmatched, high-quality data and insights that push the boundaries of what's possible in Earth Observation. Years of planning, groundbreaking science, and cutting-edge innovation come to life in this extraordinary spacecraft. Having reached this critical milestone, we are on the path to fundamentally transforming how our planet is monitored and understood, ultimately empowering our clients to better achieve their most critical objectives."
EarthDaily is partnering with industry leaders like Loft Orbital, ABB, and SpaceX to deliver its EO solutions with reliability, innovation, and cost-efficiency. The constellation leverages Loft's Longbow satellite platform, which is based on the flight-proven Airbus Arrow bus platform.
"The successful integration and testing of this first satellite is a testament to Loft's space infrastructure model and the strong partnership we've established with EarthDaily Analytics. We can't wait to get to the pad later this year and start unlocking the full potential of the EarthDaily Constellation," said Alex Greenberg, COO of Loft Orbital.
ABB, a leading global engineering firm with a best-in-class presence in EO instrumentation, is providing and integrating EarthDaily's high-precision optical imaging payloads. With experience supporting cutting-edge space missions such as the NASA/NOAA Joint Polar Satellite System, as well as a range of innovative private sector satellite projects, ABB brings proven capability to this commercial-first initiative.
"It's been an exciting journey developing this revolutionary Earth Imaging payload in close partnership with the EarthDaily team—one designed to deliver exceptional image quality and data accuracy," said Marc-André Soucy, Space and Defense Systems Director at ABB Measurement & Analytics Business Unit.
The EarthDaily Constellation overcomes key limitations of both legacy systems and modern cubesat constellations, providing daily, science-grade imagery that simplifies complexity, mitigates risk, and supports critical decisions at global scale.
EarthDaily Analytics is a global leader in Earth Observation, providing data and insights that empower industries and governments to make informed decisions for a more resilient future. With the launch of its groundbreaking EarthDaily Constellation, the company is revolutionizing how we monitor, understand, and interact with our planet.
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles


Korea Herald
3 hours ago
- Korea Herald
AI teaching assistant shows real promise at S. Korea tech university KAIST
South Korea's top science and engineering university has rolled out a custom-built AI teaching assistant to help students in large graduate courses, and early results show it helped reduce repetitive student questions while encouraging more active, self-directed learning. At Korea Advanced Institute of Science and Technology, a team of researchers led by AI graduate school professor Choi Yoon-jae and design professor Hong Hwa-jung developed a virtual teaching assistant, or VTA, that can answer student questions at any time, with responses tailored to specific lectures and coursework. The tool was piloted last fall in a programming class for AI, taken by 477 graduate students. It's the first time such a system has been tested at scale in a Korean university setting. What sets the KAIST VTA apart is that it isn't a generic chatbot. Instead, it runs on what's called a retrieval-augmented generation model, which pulls directly from course materials like slides, coding exercises and lecture videos. When students ask a question, the system finds the most relevant content and formulates a response based on that context. This means answers are grounded in what's actually taught, not just generated from a general AI model. Over 50 percent of students used the system regularly during the 14-week semester, generating nearly 3,870 questions and answers. Students without a strong background in AI or coding were among the most active users, suggesting the VTA helped close knowledge gaps for those new to the subject. These figures come from internal usage data collected by KAIST during the semester. The system didn't just benefit students. According to lead TA and doctoral researcher Kwon Soon-jun, it reduced the number of routine questions from students, such as basic concept definitions or explanations already given in class. That allowed human teaching assistants to focus more on deeper, more complex issues. Compared to the previous year's course, the volume of questions requiring direct responses from TAs dropped by around 40 percent, based on data compiled by Professor Choi. Students also appeared more comfortable asking questions through the VTA than to human TAs, especially when it came to theoretical topics. Surveys conducted by Choi's research team before, during and after the course showed that students became increasingly confident in the system's reliability, and those who had been hesitant to speak up in class reported higher satisfaction levels when using the AI assistant. The VTA's source code has been released publicly on GitHub to encourage adoption by other educators and researchers. The work was also accepted to the Industry Track at ACL 2025, one of the leading international conferences in natural language processing


Korea Herald
9 hours ago
- Korea Herald
Cognex Introduces OneVision: A Breakthrough Cloud Platform for AI-Powered Machine Vision
New Training Environment Delivers Scalable Automation and Solves Key Barriers to Industrial AI Adoption NATICK, Mass., June 10, 2025 /PRNewswire/ -- Cognex Corporation (NASDAQ: CGNX), the global technology leader in industrial machine vision, today announced the upcoming full launch of OneVision ™, a cloud-based platform that will transform how manufacturers build, train, and scale AI-powered vision manufacturers build, train, and scale AI-powered vision applications. "OneVision is the result of nearly a decade of industrial AI innovation at Cognex. By combining our advanced AI technology with excellent customer experience, we continue to unlock new possibilities for our customers," said Carl Gerst, Executive Vice President of Vision and ID Products at Cognex. "We're simplifying the entire application development process; helping our customers move faster, scale more efficiently, and maximize the value of their automation investments." Designed for the demands of global manufacturing, OneVision tackles the most common barriers to wide-scale deployment of AI-powered machine vision: With the OneVision software platform, Cognex expands its industry-leading portfolio of machine vision products, unlocking new applications, accelerating AI adoption, and allowing users to solve complex vision tasks faster, more reliably, and at scale. OneVision is currently available to select customers on the In-Sight® 3800 and 8900 vision systems and will be released on additional Cognex products in early 2026. and will be released on additional Cognex products in early 2026. About Cognex Corporation For over 40 years, Cognex has been making advanced machine vision easy, paving the way for manufacturing and distribution companies to get faster, smarter, and more efficient through automation. Innovative technology in our vision sensors and systems solves critical manufacturing and distribution challenges, providing unparalleled performance for industries from automotive to consumer electronics to packaged goods. Cognex makes these tools more capable and easier to deploy thanks to a longstanding focus on AI, helping factories and warehouses improve quality and maximize efficiency without needing highly technical expertise. We are headquartered near Boston, USA, with locations in over 30 countries and more than 30,000 customers worldwide. Learn more at


Korea Herald
a day ago
- Korea Herald
8 in 10 Korean exporters see need for AI adoption, but actual use remains low: poll
A majority of South Korean exporters recognize the need to employ artificial intelligence in their businesses to boost efficiency, but only a small fraction are actively utilizing the technology, a survey showed Monday. According to the survey conducted from Feb. 17-19 by the Korea International Trade Association, 78 percent of 396 respondents from the export industry said AI adoption is necessary, but only 16.9 percent said they are actively using AI to improve productivity or manage tasks. Another 68.7 percent answered they are either using it on a limited basis or still reviewing its usage. The poll showed that 21.9 percent of the companies that use AI utilize such services in marketing and branding, while 19.7 percent utilize AI in planning and product development. Cost burdens and a shortage of skilled personnel were cited as the top hurdles in AI adoption, at 26.1 percent and 25.4 percent, respectively. KITA noted a lack of refined data and related infrastructure for industrial AI use, and called for a phased approach in fostering the use of AI among exporters. "Public-private collaboration is essential for AI adoption among exporters, particularly to help small and medium-sized enterprises adopt AI effectively based on manufacturing data," an official at KITA said. (Yonhap)