The White House recently released America’s AI Action Plan – a bold roadmap to secure global AI dominance for the United States. At Planetary Systems AI, we have already been executing on it since Day 1 of our founding. 

Cover page, The White House America’s AI Action Plan released July 23, 2025

First and foremost, the plan calls for establishing an “AI & Autonomous Systems Virtual Proving Ground at DOD” to scope technical, geographic, security, and resourcing requirements for next-generation government and AI capabilities at the U.S. Department of Defense. Space is now a warfighting domain and space superiority is a priority in the United States’ position for Assured Access to Space for all.

Here’s how PSAI is delivering on America’s AI vision:

  • Automation Systems at Scale –  Our proprietary spacecraft-capability assessment models operate as a distributed AI proving ground, testing autonomous maneuver alerts, threat detection, and mission-critical decision-making 24/7 for space operations.
  • Defense-Ready Technology – We are building secure, robust AI systems that the Department of Defense needs at unclassified levels—systems that can operate independently in contested environments with zero ground control that are proven and tested
  • American Innovation –  100% U.S.-developed AI architecture designed with national security priorities from the ground up
  • Rapid Adoption – Leveraging AI tools such as LLM’s and generative AI capabilities in innovative ways for in areas such as space domain awareness and space situation awareness are breeding grounds for new use cases and applications, particularly in next-gen AI agentic systems and computing power.
  • International Cooperation – With allied partners in countries like Australia, South Korea, United Kingdom and in the European Union, coordinated commercial capabilities being operationalized in test environments are piloted with government partners.

The plan emphasizes America must “harness the full power of American innovation” to maintain “unquestioned and unchallenged global technological dominance.” That’s exactly what we are doing – turning mastery of space into America’s ultimate AI advantage.

For Defense Partners: Our orbital AI system is ready to support your mission-critical operations today, not years from now.

For Investors: This isn’t just policy alignment – it’s market validation. PSAI is positioned at the intersection of America’s highest strategic priorities: AI dominance and space superiority.

The future of American AI leadership isn’t just about what we build on Earth. It’s about extending that leadership to the ultimate high ground and frontier: space. 

Watch this space.

🔗 Read the full AI Action Plan: https://www.whitehouse.gov/articles/2025/07/white-house-unveils-americas-ai-action-plan/

 

About Planetary Systems AI (www.planetarysystems.ai): PSAI is a planetary support company accelerating data flow and insight generation for decision-making in the space sector, optimizing planetary support operations.

Planetary Systems AI Press Contact:

Mack Reed
Head of Product
E: pr@planetarysystems.ai

The sun glows orange and chaotic in this colorized photo of a solar eruption on May 13, 2025
NASA’s Solar Dynamics Observatory captured this image of a solar flare – seen as the bright flash on the far right – on May 13, 2025. The image shows a subset of extreme ultraviolet light that highlights the extremely hot material in flares and which is colorized in red. Image via NASA/SDO

By Mack Reed

Every satellite – and the service it provides – faces the constant and fast-increasing risk of getting knocked out of service in a collision with other satellites and chunks of orbital debris.

The number of spacecraft, rocket bodies, and debris objects circling earth (estimated at nearly 50,000) has been increasing by an average of 30% per year. 

The National Oceanographic and Atmospheric Administration’s (NOAA) Office of Space Commerce is hurrying development of TRACSS to deliver conjunction warnings and other “basic” SDA services to civilian spacecraft operators. 

But these services can’t address the compounding risks of solar flares – commonly known as “space weather” – which have the potential to deliver an even more powerful blow to thousands of satellites that increasingly prop up life on Earth.

Space weather impacts the performance of GPS, communication, defense, and edge-compute satellite operations, complicating the already-risky orbital environment.

This summer, Earth is entering the peak period of a typical 11-year solar-activity cycle; Solar activity in the form of coronal-mass ejections (CMEs) is sending particle radiation, X-rays and UV radiation towards Earth. On Tuesday, the strongest storm of 2025 – a Class X2.7 flare – hit the earth, knocking out radio signals in Europe, Asia, and the Middle East.

These effects can overwhelm any ability to respond to them adequately because they are felt in Earth’s orbit so quickly – sometimes within tens of minutes after the sun hurled plasma and radiation into space 93 million miles away.

Illustration showing how solar flares generate "space weather" phenomena such as solar flares and coronal mass ejections (CMEs)  cause radiation storms, solar wind, and disturbances in the Earth's magnetic field. Image via https://www.swpc.noaa.gov/phenomena
Illustration of solar phenomena. Click to enlarge. (image via NOAA: via https://www.swpc.noaa.gov/phenomena)

Solar flares disrupts satellite activity in three distinct ways:

  1. SRB (solar radio bursts) are close enough to satellite frequencies that they can interfere with satellite communications and GPS signals
  2. Radiation surges and geomagnetic disruptions from particles flung earthward by CMEs can damage satellite electronics permanently. 
  3. Strong solar activity heats the upper atmosphere, increasing drag on satellites in lower earth orbit (LEO) and making them susceptible to premature deorbit – basically they slow down and fall out of the sky.

The net effects of and risks from solar weather cross many planes of human experience: 

  • GPS inaccuracy: GPS-guided farm equipment can veer off course. GPS disruption throws off pinpoint targeting by several meters for anything from driving directions to weapons deployment.
  • Damage to electrical grids: Though most utility companies are ready for it, and rely on forecasts from NOAA and others to prepare for such events, they can be knocked offline.
  • De-orbit or destabilization: Satellites that we all rely on for communications, edge compute, GPS and other services fall out of orbit due to increased drag or fail to show their true position to operators on earth.

How serious is the drag/de-orbit phenomenon? A surge of space weather last spring threw the problem into sharp relief:

  • In February, 2024, Starlink deployed 49 satellites – and lost 38 of them to drag-induced de-orbiting.
  • In May, 2024, the quintuple solar-flare “Gannon storm” – the largest geomagnetic storm in more than 20 years – caused the “mass migration” of 5,000 satellites (many of them belonging to SpaceX). They moved suddenly – some automatically, some by command – to higher, safer orbits to escape increased drag, forcing them to pass through other orbits and magnifying risk of collision with debris and other spacecraft.
  • The same storm caused SpaceX to suffer position-estimation errors of up to 20 kilometers for their Starlink satellites.
  • As the MIT researcher who reported the effects of those events said at the time: “If we’re uncertain in where our spacecraft are by 20 kilometers, then you can throw collision avoidance out the window.

In all, Kansas State University economics researchers made a “conservative estimate” that the Gannon storm caused $500m in losses to the corn-farming industry alone. So far, there is no estimate of the cost of the ensuing orbits, orbit migrations, and position errors.

How does the risk posed by space weather dovetail with space-domain awareness and national security? Here’s a good summation: 

To prevent collisions in low-Earth orbit, satellite constellation operators have adopted automated collision-avoidance systems.

Unfortunately, the automated systems only work if operators can predict where satellites will be in 12 to 24 hours. But space weather models aren’t that precise.

Forecasts of the arrival time of coronal mass ejections, which increase drag in low Earth orbit, tend to be accurate within 10 hours. As a result, individual satellites can be dozens of kilometers from where operators thought they would be a day earlier.” (Space News 2/12/25)

Green waves of the aurora borealis effect in Earth's upper atmosphere shimmer over a lake at night.
Geomagnetic storms can also trigger surges in the aurora borealis such as the wave of sightings of the phenomenon much farther south on Earth last year than is customarily seen. (Image via NOAA: https://www.swpc.noaa.gov/phenomena/geomagnetic-storms)

This vulnerability is not going unstudied, but the critical examination needed is still in its infancy;  beyond space weather forecasting and shielding electronic components, there is no industrial solution for mitigating the effects of solar flares on the fly. 

U.S. and European weather and space agencies have worked to improve orbital space weather resilience for several decades – but mostly with a preparedness-and-mitigation approach.

NOAA and the European Space Agency maintain weather-monitoring spacecraft at the LaGrange points – positions between Earth and sun where the gravitational forces of both bodies nullify each other – allowing the craft to stay in place and constantly monitor solar winds. 

In May, 2024, a Space Weather Tabletop Exercise (TTX) conducted by NOAA, NASA, NSF, FEMA, DHS, and Johns Hopkins University – the first of its kind – resulted in better planning and coordination among the agencies. The team’s Final Report concluded, “There is a critical need to develop more robust forecasting capabilities of space weather drivers and effects.”

AI and machine learning can be part of that leap forward, empowering a more proactive approach to space weather preparedness and response.  

Built right, by blending space weather into the realm of space domain awareness and daily satellite operations, such technology can de-risk the sun’s short- and long-term effects on earthside services these vital spacecraft sustain.

Watch this space.

 Mack Reed is Head of Product at Planetary Systems AI. He can be reached via our Contact page.

Planetary Systems AI Awarded Second Annual License Subscription by U.S. Space Systems Command’s Space Domain Awareness (SDA) TAP Lab 

From the period of 5 February through 29 April 2025, Planetary Systems AI successfully demonstrated the ability to use generative AI to read large quantities of semi/unstructured text and imagery to populate the Lab’s Target Model Database (TMDB). 

PSAI Awarded Annal 12-Month Subscription License

New York, NY, May 12, 2024Planetary Systems AI (PSAI), a dual-use space and defense tech company accelerating data flow and insight generation for decision-making in the space sector to optimize planetary support operations, announced today that it has been awarded a second annual subscription license by U.S. Space Systems Command’s Space Domain Awareness (SDA) Tools Applications and Processing (TAP) Lab after the completion of the Apollo Accelerator Cohort 6. This program enabled PSAI to demonstrate its capabilities for image-to-text object classification combined with the use of PSAI’s initial subscription license to the SDA TAP Lab – an application using generative AI to read large quantities of semi/unstructured text and imagery to populate the Lab’s Target Model Database (TMDB). The TMDB, once populated with details about a satellite’s payloads, power, and propulsion systems can be used to evaluate potentially threatening close approaches and automated alert system for the Welder’s Arc battle management system. 

“Welder’s Arc is a fully automated, multi-vendor, prototype space threat warning system building partnerships with industry, academia, government, partners, and allies (IAGPA) in the SDA TAP Lab. There have been over 100 companies that have participated in Apollo Accelerator from almost a dozen countries totaling several hundred individuals. Retention is fairly high. We are changing commercial SDA market forces for the better to ensure long term viability of the small business base.” – SDA TAP Lab Chief, Major Sean Allen on the vision of the Apollo Accelerator.

“PSAI is leveraging our multi-modal AI expertise and capabilities to work with the U.S. government, its allies, and our commercial partners to ensure that automated decision support subsystems are accelerated and enhanced through our AI solutions,” said CEO & Chief Space Officer Cindy Chin. “Our CTO Aaron Sloman and Mack Reed on behalf of the team were excited to showcase computer vision experience in an image-to-text capability during the SDA TAP Lab Cohort 6 Demo Day with U.S. Space Systems Command, the U.S. Space Force, U.S. Space Command and other government and industry partners.” 

PSAI will continue to increase space vehicle imagery to its AI model and agentic AI capabilities in its architecture, responding to maneuver alerts in a given scenario related to threat warning and assessment. The current database is structured for direct integration with, query by, and display in SDA tools. PSAI’s APIs and applications can be used with maneuver-event data for inferring potential for threats and determining proximity. Entries were filtered for validity by an AI model trained on Joint Commercial Operations (JCO) Notice to Space Operators records and other trusted analytic sources.

About SDA TAP Lab (https://sdataplab.org/): The Space Domain Awareness TAP Lab accelerates the delivery of space battle management software to operational units. We decompose kill chains, prioritize needs with operators, map needs to technologies, and onboard tech to existing platforms quickly. We partner with industry, academia, and across the government to succeed. 

About Planetary Systems AI (www.planetarysystems.ai): PSAI is a planetary support company accelerating data flow and insight generation for decision-making in the space sector, optimizing planetary support operations.

Planetary Systems AI Press Contact:

Mack Reed
Head of Product
E: pr@planetarysystems.ai

Download a PDF of this Press Release

An application interface showing a satellite photo being analyzed
PSAI demonstrated its AI image analyzer, capable of estimating spacecraft size, mass, equipment, and capabilities.

Last week, PSAI demonstrated our expanded AI toolset for space domain awareness to an audience of military analysts, officers, data scientists, and interested contractors at the SDA TAP Lab’s Demo Day. 

We had capped lab Cohorts 4 and 5 in October and January by showing that our AI and machine-learning methods can generate deeply-detailed capability profiles of thousands of spacecraft from millions of public data records.

Output text from an image analyzing application designed to identify satellite capabilities.
Results from a live test of the image analyzer showing the physical characteristics and capabilities that it estimated after ingesting a photo of a satellite. Click to view this full size.

During Cohort 6 – as shown in last week’s demo – we developed an image analyzer, adding a significant new capability to the lab’s work helping U.S. Space Force Guardians identify and assess unknown, concealed, or hostile spacecraft. 

Our newest tool can ingest a photo of a payload – either from orbit or in a pre-launch clean room – and perform a pixel-by-pixel analysis of its potential capabilities. 

The tool estimates the spacecraft’s size, shape, and mass. It counts and estimates the size of antennas and solar panels. And from these and other visual clues, it can infer onboard capabilities including sensors, cameras, radio equipment and frequencies, and the presence and orientation of thrusters. 

By deploying this tool in their analytical processes, Guardians can gain context for the decisions they must make when interrogating targets for evidence of camouflage, concealment, deception, and maneuvers; What sensors are on board? How powerful might its solar panels, batteries, and thrusters be? Can it take high-resolution photos, jam our radio frequencies, or fire an energy weapon? 

While this tool is in its infancy, we hope to refine and grow its capabilities further when Cohort 7 kicks off later this month. 

Watch this space.



The PSAI Team at the SDA TAP Lab 

A lot has happened in Planetary Systems AI’s first year of operations:

While we spun up the company and began user research before designing our systems, the space business absolutely boomed:

We researched, studied, listened, and learned. 

We spent time absorbing knowledge and needs from astrophysicists, U.S. Space Force Guardians, satellite operators, and experts in fields ranging from launch, spacecraft engineering and near-earth imaging to digital communications and space-domain awareness.

As we listened, a common problem emerged: data practitioners and leaders find themselves working inordinately hard and long – with a risk of costly human error – to reliably process multidisciplinary data sources for critical, rapid decision-making. 

The space industry and newly-spawned data sources are growing so fast as to outstrip industry participants’ abilities to keep up their own demands for clarity, safety, and decision support. And as they start to drown in data, they remain starved for insights

So, Planetary Systems AI leaned in to meet the challenge: 

PSAI joined the work at SDA TAP Lab in August, 2024

We joined the U.S. Space Force’s SDA TAP Lab‘s Apollo Accelerator at Space Systems Command – an extraordinary collaboration among dozens of private firms, government, and academia working on a system to track and identify threats to U.S. and allied assets in orbit. 

Last fall, we developed AI methods there for reading large quantities of semi/unstructured text to populate the SDA TAP Lab’s Target Model Database (TMDB). Once populated with details about a satellite’s payloads, power, and propulsion systems, the TMDB can be used by USSF analysts to evaluate close approaches by potentially threatening spacecraft.

Over the winter, we have worked to expand these capabilities for the USSF over at Space Systems Command, with new developments that we will be announcing in a couple of weeks.

 

CEO Cindy Chin (front row, center) at the KPMG/Seraphim Accelerator event in London, October, 2024

We joined the Seraphim Space Accelerator, a leading, dedicated accelerator for startups in the global SpaceTech industry. Since 2018 the accelerator has been working with early-stage SpaceTech companies on a global scale. To date, supporting 109 companies across 30 countries, helping them raise over $540 million in funding for the first time. Seraphim remains dedicated to finding and supporting early-stage companies through every stage of their journey.

We are developing working partnerships with companies in satellite operations, radio-frequency security, and spacecraft hardware equipment testing. 

We added two deeply experienced and valuable space domain experts to our board of advisors, Dr. Steve Crews (U.S. Army and U.S. Space Force, Ret’d.) and Eileen Vidrine, former U.S. Air Force Data and Artificial Intelligence Officer. 

PSAI’s newest advisors, Steve Crews & Eileen Vidrine

And we are sharpening our larger AI toolset for the data-dense future we see taking shape in launch and orbital operations. 

As the industry expands, data processing needs will balloon. As rocket companies like Blue Origin,, rise to compete with SpaceX, satellite operators like Turion Space offer bespoke near-earth imaging services, and firms like Blue Ring tool up to deliver on-orbit servicing for orbital industrial applications that are still taking shape, Planetary Systems AI will be there with critical data-management and decision-making infrastructure now under development. 

We can’t wait to show you what we’re working on. In the meantime, check out our new website design and bookmark it for more news.

an officer in camouflage fatigues addresses an audience from a podium, standing before an orange wall and a display monitor
U.S. Space Force Col. Gina Peterson addresses the audience at the SDA TAP Lab’s Demo Day on Jan. 30, 2025

Space domain awareness (SDA)  – and all the data that must flow to support it – no longer hovers in a theoretical future.  

Today, spacecraft operators must know swiftly and reliably what space trash, errant satellite, or hostile might threaten their operations – and the discipline is crying out for investment.

For the well-equipped U.S. military, better SDA tools are under development as a complex and powerful orbital-defense system at the United States Space Force’s SDA TAP Lab. That’s where we have been collaborating these past six months with dozens of other companies. 

In the Lab’s Cohort 5, Planetary Systems AI finished building AI tools that help U.S. Space Force Guardians identify the launch history, onboard sensors, and jamming frequencies of space vehicles that are hidden, unknown, or potential threats. 

As we accelerate into Cohort 6 next week, one thing has become very clear: This vital project – and indeed SDA overall – needs a huge boost in operating budget to keep pace with the space boom.

With more companies and international partners joining the SDA TAP (Tools, Applications & Processing) Lab, more payloads and satellites reaching orbit, and the increasing risk of collision with debris and each other impacting critical communications and cybersecurity infrastructure on the ground, it will be difficult to keep up with the pace of innovation such as the SDA TAP Lab’s rapidly-expanding work without more Congressional and the Pentagon’s monetary support or capital investment from the satellite and telecommunications industry to protect their in-orbit assets. 

 

a group of technologists and researchers assemble for a group photo
Cohort 5 of the SDA TAP Lab’s Apollo Accelerator project

The SDA TAP Lab needs a significantly bigger budget to support its complex logistics, the cohort’s rising headcount, and a newly-available, multi-terabyte source of SDA data that must be imported, sorted, and made available to us and international partners to continue the work. 

The need will be even greater for the commercial sector, where spacecraft operators work with SDA discipline in mind but without universally-available tools at hand.

While the Lab is building tools to sharpen the U.S. Space Force’s awareness and improve the timeliness and accuracy of the Guardians’ response, those military tools won’t be available to civilians. 

 

 

an executive stands before an array of display monitors talking with a uniformed U.S. Space Force general
PSAI CEO Cindy Chin and Aquarious Workman present to Lt. General Douglas A. Schiess during the Demo Day on Jan. 30, 2025 at the SDA TAP Lab

 

For commercial launch and orbital companies, U.S. Guardians are tasked with issuing notifications to space operators. These email advisories advise U.S. allies and corporations who subscribes to them whenever a rocket launch is detected or an orbiting spacecraft makes a maneuver. 

But the notifications don’t deliver operational context; While Guardians have access to multiple SDA data sources, sensors, satellites and other tools to support their defense-oriented mission (and will soon have the TAP Lab’s defense system as well), no such service exists to warn and protect the commercial sector against orbital mishaps. 

It is up to launch and orbital companies to blend orbital data sources with whatever in-house SDA experience they might have to keep their spacecraft and space assets safe. Therefore, more capital investment in this critical infrastructure is needed in and adjacent to orbit before calamity happens.

 

 

A slide depicting the benefits of delivering satellite capability data to USSF warfighters
A slide from PSAI’s presentation to the SDA TAP Lab explaining the benefit our work has brought to the U.S. Space Force’s battle management system

Just as Planetary Systems AI is bringing deep experience in artificial intelligence, machine learning and data fusion to SDA for the U.S. Space Force, we plan to deliver SDA solutions for our partners in the commercial sector and their space strategies

Watch this space.

Contact: Mack Reed, Head of Product, mack@planetarysystems.ai

Planetary Systems AI Awarded by U.S. Space Systems Command’s Space Domain Awareness (SDA) TAP Lab An Annual License Subscription

From the period of 6 August through 29 October 2024, Planetary Systems AI successfully demonstrated the ability to use generative AI to read large quantities of semi/unstructured text and imagery to populate the Lab’s Target Model Database (TMDB). 

New York, NY, November 19, 2024Planetary Systems AI (PSAI), a planetary support company providing cyber-first artificial intelligence and machine-learning solutions for space and satellite operations, announced today that it has been awarded an annual subscription license by U.S. Space Systems Command’s Space Domain Awareness (SDA) Tools Applications and Processing (TAP) Lab after the completion of the Apollo Accelerator Cohort 4. This program enabled PSAI to demonstrate its capabilities with the use of generative AI to read large quantities of semi/unstructured text and imagery to populate the Lab’s Target Model Database (TMDB). The TMDB, once populated with details about a satellite’s payloads, power, and propulsion systems can be used to evaluate potentially threatening close approaches.

“With the amount of orbital traffic and payloads being deployed into space, it is imperative that a continuous monitoring and coverage of space assets traffic and anomaly management occurs 24/7/365.” said CEO & Chief Space Officer Cindy Chin. “PSAI is leveraging our multi-modal AI expertise and capabilities to work with the U.S. government, its allies, and our commercial partners to ensure that their decision support is accelerated and enhanced through our AI solutions. Our team was excited to showcase these tools and capabilities during the SDA TAP Lab Cohort 4 Demo Day with U.S. Space Systems Command, the U.S. Space Force, DARPA, and other government and industry partners.” 

SDA TAP Lab Chief, Major Sean Allen says, “This is a real innovation applying modern software to age-old problems and a great use-case for generative AI.” 

During the three-month TAP Lab cycle in Cohort 5, PSAI will further test and refine its solutions for SDA by increasing space vehicle imagery to its AI model, responding with a team in a given scenario related to threat warning and assessment. The current database is structured for direct integration with, query by, and display in SDA tools. It can be used with maneuver-event data for inferring potential for threats and determining proximity. Entries were filtered for validity by an AI model trained on Joint Commercial Operations (JCO) Notice to Space Operators records and other trusted analytic sources.

About SDA TAP Lab (https://sdataplab.org/): The Space Domain Awareness TAP Lab accelerates the delivery of space battle management software to operational units. We decompose kill chains, prioritize needs with operators, map needs to technologies, and onboard tech to existing platforms quickly. We partner with industry, academia, and across the government to succeed. 

About Planetary Systems AI (www.planetarysystems.ai): PSAI is a planetary support company accelerating data flow and insight generation for decision-making in the space sector, optimizing planetary support operations.

 

Planetary Systems AI Press Contact:
Mack Reed
Head of Product
E: pr@planetarysystems.ai

Download a PDF of this Press Release

 

Aquarious Workman, CISM, Head of Cybersecurity for Planetary Systems AI, demonstrates the company’s AI service for U.S. Space Force

Colorado Springs, CO. – The Planetary Systems AI team capped three months of intensive multidisciplinary work this week with a demonstration of the company’s capabilities in AI-driven data management for space domain awareness (SDA) at the U.S. Space Force’s SDA TAP Lab

By aggregating more than 2.3 million open-source records on satellites owned by U.S. and foreign entities, the team was able to build out a body of knowledge that will help the Space Force spot and defend military, government, and commercial spacecraft against hostile actions by other countries in space.

Aquarious Workman, PSAI’s Head of Cybersecurity, presented the demo to an audience of investors and U.S. Department of Defense officials, surrounded by nearly 60 companies, many of whom the company had collaborated with closely during Demo Day for Cohort 4 of the Lab’s Apollo Accelerator program.

The company will be continuing its work at the SDA TAP Lab into Cohort 5, which kicks off Nov. 5 and runs until late January. 

 

At the recent NYSE Wired East Coast AI Leaders’ Reception & Media Event at South Street Seaport and at the NYSE Space Summit, Planetary Systems AI had the honor to share the massive opportunities with space data in the space sector our innovative AI solutions and vision for the future, led by CEO Cindy Chin, FRSA.

The NYSE Space Summit brought together leading voices in the space industry to explore opportunities for growth and innovation. Executives from key space companies and institutional investors discussed how public markets are supporting the space sector, highlighting the intersection of innovation, regulation, and investment. The event emphasized the increasing role of space in shaping industries beyond aerospace, including finance, technology, and sustainability. Discussions ranged from advancements in space technology including artificial intelligence to the growing importance of satellite connectivity and space exploration in economic development.

Chin articulated the challenges with spacedata opportunities in AI with the company’s strategic goals and collaborative initiatives during an interview above the New York Stock Exchange floor with John Furrier of SiliconANGLE & theCUBE to make clear that PSAI is poised to make a significant impact in the space tech landscape.

NYSE Wired is an open-source community built to support entrepreneurs and their companies building cutting-edge AI technologies.