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By NASA
4 min read
Entrepreneurs Challenge Winner PRISM is Using AI to Enable Insights from Geospatial Data
PRISM’s platform uses AI segmentation to identify and highlight residential structures in a neighborhood. NASA sponsored Entrepreneurs Challenge events in 2020, 2021, and 2023 to invite small business start-ups to showcase innovative ideas and technologies with the potential to advance the agency’s science goals. To potentially leverage external funding sources for the development of innovative technologies of interest to NASA, SMD involved the venture capital community in Entrepreneurs Challenge events. Challenge winners were awarded prize money, and in 2023 the total Entrepreneurs Challenge prize value was $1M. Numerous challenge winners have subsequently refined their products and/or received funding from NASA and external sources (e.g., other government agencies or the venture capital community) to further develop their technologies.
One 2023 Entrepreneurs Challenge winner, PRISM Intelligence (formerly known as Pegasus Intelligence and Space), is using artificial intelligence (AI) and other advances in computer vision to create a new platform that could provide geospatial insights to a broad community.
Every day, vast amounts of remote sensing data are collected through satellites, drones, and aerial imagery, but for most businesses and individuals, accessing and extracting meaningful insights from this data is nearly impossible.
The company’s product—Personal Real-time Insight from Spatial Maps, a.k.a. PRISM—is transforming geospatial data into an easy-to-navigate, queryable world. By leveraging 3D computer vision, geospatial analytics, and AI-driven insights, PRISM creates photorealistic, up-to-date digital environments that anyone can interact with. Users can simply log in and ask natural-language questions to instantly retrieve insights—no advanced Geographic Information System (GIS) expertise is required.
For example, a pool cleaner looking for business could use PRISM to search for all residential pools in a five-mile radius. A gardener could identify overgrown trees in a community. City officials could search for potholes in their jurisdiction to prioritize repairs, enhance public safety, and mitigate liability risks. This broad level of accessibility brings geospatial intelligence out of the hands of a few and into everyday decision making.
The core of PRISM’s platform uses radiance fields to convert raw 2D imagery into high-fidelity, dynamic 3D visualizations. These models are then enhanced with AI-powered segmentation, which autonomously identifies and labels objects in the environment—such as roads, vehicles, buildings, and natural features—allowing for seamless search and analysis. The integration of machine learning enables PRISM to refine its reconstructions continuously, improving precision with each dataset. This advanced processing ensures that the platform remains scalable, efficient, and adaptable to various data sources, making it possible to produce large-scale, real-time digital twins of the physical world.
The PRISM platform’s interface showcasing a 3D digital twin of California State Polytechnic University, Pomona, with AI-powered search and insights. “It’s great being able to push the state of the art in this relatively new domain of radiance fields, evolving it from research to applications that can impact common tasks. From large sets of images, PRISM creates detailed 3D captures that embed more information than the source pictures.” — Maximum Wilder-Smith, Chief Technology Officer, PRISM Intelligence
Currently the PRISM platform uses proprietary data gathered from aerial imagery over selected areas. PRISM then generates high-resolution digital twins of cities in select regions. The team is aiming to eventually expand the platform to use NASA Earth science data and commercial data, which will enable high-resolution data capture over larger areas, significantly increasing efficiency, coverage, and update frequency. PRISM aims to use the detailed multiband imagery that NASA provides and the high-frequency data that commercial companies provide to make geospatial intelligence more accessible by providing fast, reliable, and up-to-date insights that can be used across multiple industries.
What sets PRISM apart is its focus on usability. While traditional GIS platforms require specialized training to use, PRISM eliminates these barriers by allowing users to interact with geospatial data through a frictionless, conversational interface.
The impact of this technology could extend across multiple industries. Professionals in the insurance and appraisal industries have informed the company how the ability to generate precise, 3D assessments of properties could streamline risk evaluations, reduce costs, and improve accuracy—replacing outdated or manual site visits. Similarly, local governments have indicated they could potentially use PRISM to better manage infrastructure, track zoning compliance, and allocate resources based on real-time, high-resolution urban insights. Additionally, scientists could use the consistent updates and layers of three-dimensional data that PRISM can provide to better understand changes to ecosystems and vegetation.
As PRISM moves forward, the team’s focus remains on scaling its capabilities and expanding its applications. Currently, the team is working to enhance the technical performance of the platform while also adding data sources to enable coverage of more regions. Future iterations will further improve automation of data processing, increasing the speed and efficiency of real-time 3D reconstructions. The team’s goal is to expand access to geospatial insights, ensuring that anyone—from city planners to business owners—can make informed decisions using the best possible data.
PRISM Intelligence founders Zachary Gaines, Hugo Delgado, and Maximum Wilder-Smith in their California State Polytechnic University, Pomona lab, where the company was first formed. Share
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Last Updated Apr 21, 2025 Related Terms
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By NASA
Curiosity Navigation Curiosity Home Mission Overview Where is Curiosity? Mission Updates Science Overview Instruments Highlights Exploration Goals News and Features Multimedia Curiosity Raw Images Images Videos Audio Mosaics More Resources Mars Missions Mars Sample Return Mars Perseverance Rover Mars Curiosity Rover MAVEN Mars Reconnaissance Orbiter Mars Odyssey More Mars Missions Mars Home 3 min read
Sols 4498-4499: Flexing Our Arm Once Again
NASA’s Mars rover Curiosity acquired this image using its Left Navigation Camera on March 30, 2025 — Sol 4496, or Martian day 4,496 of the Mars Science Laboratory mission — at 20:12:48 UTC. NASA/JPL-Caltech Written by Conor Hayes, Graduate Student at York University
Earth planning date: Monday, March 31, 2025
Planning today began with two pieces of great news. First, our 50-meter drive (about 164 feet) from the weekend plan completed successfully, bringing us oh-so-close to finally driving out of the small canyon that we’ve been traversing through and toward the “boxwork” structures to our southwest. Second, we passed our “Slip Risk Assessment Process” (SRAP), confirming that all six of Curiosity’s wheels are parked firmly on solid ground. Avid readers of this blog will be familiar with last week’s SRAP challenges, which prevented us from using the rover’s arm for the entire week. With a green light on SRAP, we were finally able to put our suite of contact science instruments back to work today.
The arm gets to work early on the first sol of this plan, with an APXS integration on “Los Osos,” a bedrock target in our workspace, after it has been cleared of the ubiquitous Martian dust by DRT. The rest of our arm activities consist of a series of MAHLI observations later in the afternoon, both of Los Osos and “Black Star Canyon.”
Of course, just because we managed to get contact science in this plan doesn’t mean we’re letting our remote sensing instruments take a break. In fact, we have more than two hours of remote sensing, split between the two sols and the two science teams (Geology and Mineralogy [GEO] and Atmosphere and Environment [ENV]). GEO will be using Mastcam to survey both the highs and the lows of the terrain, with mosaics of “Devil’s Gate” (some stratigraphy in a nearby ledge) and some small troughs close to the rover. We’ll also be getting even more Mastcam images of “Gould Mesa,” an imaging target in many previous plans, as we continue to drive past it. ChemCam gets involved with a LIBS observation of “Fishbowls,” which will also be imaged by Mastcam, a post-drive AEGIS, and two RMI mosaics of Gould Mesa and “Torote Bowl,” which was also imaged over the weekend.
ENV’s activities are fairly typical for this time of year as Curiosity monitors the development of the Aphelion Cloud Belt (ACB) with several Navcam cloud movies, as well as seasonal changes in the amount of dust in and above Gale with Navcam line-of-sight observations and Mastcam taus. We’ll also be taking a Navcam dust devil movie to see if we can catch any cold-weather wind-driven dust movement. ENV also filled this plan with their usual set of REMS, RAD, and DAN observations.
The drive planned today is significantly shorter than the one over the weekend, at just about 10 meters (about 33 feet). This is because we’re driving up a small ridge, which limits our ability to see what’s on the other side. Although our rover knows how to keep itself safe, we still prefer not to drive through terrain that we can’t see in advance, if it can be avoided. Once we’ve got a better eye on what lies in front of us, we will hopefully be able to continue our speedy trek toward the boxwork structures.
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Last Updated Apr 03, 2025 Related Terms
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By USH
EBANI stands for "Unidentified Anomalous Biological Entity," referring to a mysterious class of airborne phenomena that may be biological rather than mechanical in nature. These entities are often described as elongated, flexible, and tubular, moving through the sky in a serpentine or twisting manner.
They exhibit advanced flight capabilities, including high-speed travel, precise control, and even self-illumination. Some have been observed rendering themselves invisible, raising questions about their energy sources and possible technological origins.
Recent observations have revealed formations of translucent spheres in red, white, and blue, challenging conventional classifications of both biology and aerodynamics.
Some of these entities have a massive structure composed of thousands of clustered spheres. These entities appear to function as an aircraft carrier, releasing these smaller spheres into Earth's atmosphere for an unknown purpose.
While some researchers propose that EBANIs are natural organisms evolving in Earth's upper atmosphere under unfamiliar physical laws, others speculate they may be advanced artificial (eventually biological) constructs, potentially extraterrestrial probes or surveillance devices, given the presence of large structures expelling numerous smaller spheres.
Are they living UFOs, advanced biological organisms that function autonomously within the spheres, without the need for pilots?
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