Discover 5 Top Machine Learning Startups impacting SpaceTech Companies

Curious about new technological advancements in the space industry? Explore our analysis of 101 global machine learning startups impacting SpaceTech and learn how their solutions advance your business!

Out of 101, the Global Startup Heat Map highlights 5 Top Machine Learning Startups impacting SpaceTech Companies

Startups such as the examples highlighted in this report focus on hyperspectral imaging, geospatial intelligence, and deep learning. While all of these technologies play a significant role in advancing the space industry, they only represent the tip of the iceberg. This time, you get to discover five hand-picked machine learning startups impacting SpaceTech companies.

The Global Startup Heat Map below reveals the geographical distribution of 101 exemplary startups & scaleups we analyzed for this research. Further, it highlights five startups that we hand-picked based on scouting criteria such as founding year, location, funding raised, and more. You get to explore the solutions of these five startups & scaleups in this report. For insights on the other 96 machine learning solutions for SpaceTech companies, get in touch with us.

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Pixxel offers Geospatial Climate Intelligence

Founding Year: 2019
Location: Palo Alto, US
Funding: USD 33 M
Use this solution for Environmental Impact Analysis

Pixxel is a US-based startup that offers geospatial climate intelligence. The startup’s maiden small satellite, Shakuntala, features an onboard hyperspectral camera to monitor the dynamics of earth parameters. Pixxel’s solution then analyzes the hyperspectral images using machine learning to provide insights into pollution levels and forest cover, among others. This enables governments to detect chemical seepages and inland waterway health as well as allows impact project managers to measure climate risks.

SpaceKnow provides Satellite-based Economic Intelligence

Founding Year: 2013
Location: New York, US
Funding: USD 9,2 M
Partner with SpaceKnow for Industry Performance Analysis

US-based scaleup SpaceKnow leverages machine learning to analyze images captured by satellites. The scaleup’s proprietary product, SpaceKnow Nowcasting Solutions, is a combination of 4 software suites, SK Industry Radar, SK Commodities, SK Pollutions, and SK Optix. These suites offer high-frequency activity data such as industry performance across countries, air quality, and more. This enables corporate strategists, economists, and governments to gain insights into business functions.

Spacept facilitates Space-based Infrastructure Inspections

Founding Year: 2019
Location: Stockholm, Sweden
Funding: USD 334 600
Collaborate with Spacept for Wildfire Detection

Swedish startup Spacept uses machine learning to perform satellite-driven image analysis on infrastructural assets. The startup’s inspection platform locates faults and damages in infrastructural assets such as electric grids. It does not just assist decision-makers to prevent power outages but the platform also detects wildfires and changing climatic conditions in real-time.

SatSure enables Satellite-driven Agriculture Analysis

Founding Year: 2017
Location: Bengaluru, India
Funding: USD 5 M
Reach out to SatSure for Agri Production Forecasts

SatSure is an Indian startup that utilizes machine learning to tackle challenges in modern agricultural practices. The startup’s proprietary geospatial data analysis platform combines satellite, socio-economic, and financial data to create agriculture-specific risk profiles. It then analyzes changing temperature and rainfall patterns as well as their effect on farms. Using this solution, farmers improve field operations and find accurate production and acreage estimates.

Amanogi simplifies Astronomical Data Analysis

Founding Year: 2019
Location: Tokyo, Japan
Funding: USD 380 000
Work with Amanogi for Stars Tracking

Japanese startup Amanogi develops star tracking technology for satellites. The startup’s star tracker, Star Compass, leverages deep learning algorithms to collect and analyze information acquired by satellites. It then estimates the attitude in the star coordinate system by matching it with existing star catalogs. This allows satellite manufacturers to mitigate in-house tracker development and better understand star behaviors.

Where is this Data from & how to Discover More SpaceTech Startups?

Staying ahead of the technology curve means strengthening your competitive advantage. That is why we give you data-driven innovation insights into the space industry. The insights of this data-driven analysis are derived from our Big Data & Artificial Intelligence (AI)-powered StartUs Insights Discovery Platform, covering 2 093 000+ startups & scaleups globally. The platform gives you an exhaustive overview of emerging technologies & lets you scout relevant startups within a specific field in just a few clicks. To explore more space technologies, let us look into your areas of interest. For a more general overview, download our free SpaceTech Innovation Report to save your time and improve strategic decision-making.

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