Artificial Intelligence

How a Startup Is Using AI to Cut Space Mission Prep Cycles

A new AI model replaces months of simulation with near-instant predictions, changing how spacecraft operations are prepared

Updated

April 24, 2026 10:53 AM

Northrop Grumman Stargaze serves as the mother ship for the Pegasus, an air-launched orbital rocket. PHOTO: UNSPLASH

Flexcompute, a startup that builds software to simulate real-world physics, is working with Northrop Grumman to change how space missions are prepared. Together, they have developed an AI-based system that can predict how spacecraft respond during critical manoeuvres such as docking—when one spacecraft moves in and connects with another in orbit. These steps have traditionally taken months of preparation.

At the centre of this work is a long-standing problem in space operations. When a spacecraft fires its thrusters, the exhaust plume interacts with nearby surfaces. These interactions can affect movement, temperature and stability. Because these effects are difficult to test in real conditions, engineers have relied on large volumes of computer simulations to estimate outcomes before a mission. That process is slow and resource-intensive.

The new system replaces much of that workflow with a trained AI model. Instead of running millions of simulations, the model learns patterns from physics-based data and can make predictions in seconds. It also provides a measure of uncertainty, which helps engineers understand how reliable those predictions are when making decisions.

"At Northrop Grumman, we're pioneering physics AI to accelerate design and solve complex simulation and modelling problems like plume impingement—critical for station keeping, rendezvous and space robotics. Simply put: we're pushing the boundaries of advanced space operations", said Fahad Khan, Director of AI Foundations at Northrop Grumman. "Partnering with Flexcompute and NVIDIA, we're accelerating innovation and mission timelines to deliver superior space capabilities for customers at the speed they need".

The system is built using technology from NVIDIA, which provides the computing framework behind the model. Flexcompute has adapted it to handle the specific challenges of spaceflight, including how gases expand and interact in a vacuum. The result is a tool that can simulate complex scenarios much faster while maintaining the level of accuracy needed for mission planning.

By shortening preparation time, the model changes how engineers approach spacecraft design and operations. Faster predictions mean teams can test more scenarios and adjust plans more quickly. It also helps improve fuel use and extend the lifespan of spacecraft.

"Northrop Grumman's confidence reflects what sets Flexcompute apart", said Vera Yang, President and Co-Founder of Flexcompute. "We are able to take the most accurate and scalable physics foundations and evolve them into highly trained, customized Physics AI solutions that engineers can rely on. This work shows how we are transforming the role of simulation, not just speeding it up, but expanding what engineers can confidently solve and how quickly they can act".

The collaboration points to a broader shift in how engineering problems are being handled. Instead of relying only on detailed simulations that take time to run, companies are beginning to use AI systems that can approximate those results quickly while still reflecting the underlying physics.

"The industry's most ambitious space missions now demand a level of speed and precision that traditional engineering cycles can no longer sustain", said Tim Costa, vice president and general manager of computational engineering at NVIDIA. "By integrating NVIDIA PhysicsNeMo, Northrop Grumman and Flexcompute are transforming complex simulations like plume impingement from days of compute into seconds of insight, drastically accelerating the path from mission concept to orbit".

What emerges from this work is a shift in how missions are prepared. When prediction cycles move from months to seconds, testing and decision-making can happen faster. For space operations, where timing and precision are closely linked, that change could reshape how systems are built and run.

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Strategy & Leadership

The Dynamic World of Influencers: Different Types That Shape Our Digital Landscape

The Influencer Evolution: Recognizing the Power and Potential of Each Type.

Updated

January 8, 2026 6:35 PM

A group of people filming a video for social media. PHOTO: UNSPLASH

In an era where social media reigns supreme, influencers have emerged as powerful players in the marketing game. They have the ability to sway opinions, drive trends, and create waves of engagement that brands can only dream of. But not all influencers are created equal; they come in various shapes and sizes, each with a unique approach to connecting with their audience. Under standing the different types of influencers can illuminate how they impact our daily lives and the choices we make. Let’s dive into the captivating world of influencers and explore the diverse categories that define them.

1. Mega influencers: the celebrities of social media

When you think of influencers, mega influencers are often the first that come to mind. These are the A-list celebrities, athletes, and global icons with millions of followers on platforms like Instagram, TikTok, and YouTube. Their immense reach allows brands to tap into vast audiences, making them highly sought after for endorsements.

Why they matter:

Mega influencers have the power to generate instant buzz around a product or campaign. Their celebrity status lends credibility, and fans are often eager to emulate their lifestyles. However, this type of influencer can come with a hefty price tag, making them suitable for brands with substantial marketing budgets.

2. Macro influencers: the niche experts

Just below the mega influencers are macro influencers, who typically boast between 100,000to 1 million followers. While they may not have the same level of fame as celebrities, macro influencers often command a loyal and engaged audience. They are usually experts in specific niches, such as fitness, beauty, travel, or technology.

Why they matter:

Macro influencers combine reach with relevance. Their targeted expertise allows brands to connect with specific demographics, making them an ideal choice for campaigns aimed at niche markets. Their followers often view them as relatable and trustworthy, which can lead to higher engagement rates.

3. Micro influencers: the authentic voices

Micro influencers are the rising stars of the influencer world, typically having between 10,000 to 100,000 followers. What sets them apart is their authentic connection with their audience. They often have a more intimate relationship with their followers, leading to higher engagement and trust.

Why they matter:

Brands are increasingly turning to micro influencers for their ability to create genuine conversations around products. The cost-effectiveness of partnering with micro influencers also allows brands to run multiple campaigns across different influencers, amplifying their reach while maintaining authenticity.

4. Nano influencers: the everyday enthusiasts

At the bottom of the influencer hierarchy are nano influencers, who have 1,000 to 10,000 followers. While their follower count may be modest, nano influencers often possess a highly engaged audience that views them as close friends, families or peers rather than celebrities.

Why they matter:

Nano influencers are perfect for brands looking to create grassroots campaigns. Their genuine enthusiasm and relatability can lead to strong word-of-mouth marketing. Engaging with nano influencers often comes at a lower cost, making them an attractive option for small businesses and startups.

5. Brand ambassadors: the long-term partners

Brand ambassadors are influencers who have a long-term relationship with a brand, often representing them across multiple campaigns. They can fall into any of the previous categories but are distinguished by their commitment to the brand and its values.

Why they matter:

By cultivating brand ambassadors, companies can create consistent messaging and foster loyalty among customers. These influencers often resonate with audiences more deeply, as they embody the brand’s identity and promote its products authentically over time.

Conclusion

The world of influencers is as diverse as it is dynamic, with each type offering unique advantages for brands looking to connect with consumers. From the glitzy allure of mega influencers to the genuine relatability of nano influencers, understanding these categories can help brands make informed choices in their marketing strategies. As the digital landscape continues to evolve, the role of influencers will only grow, shaping trends and driving engagement in ways we are just beginning to comprehend. By leveraging the right type of influencer, brands can effectively navigate this vibrant ecosystem, ensuring their message resonates with the audiences that matter most.