Artificial intelligence powered by aerial imagery

By Eagleview. 

AI might be reaching new heights, but the future still depends on what’s on the ground.  

One of the only things that stays the same about artificial intelligence (AI) is that it is always changing. From synthesizing text to organizing complex workflows, AI is reshaping how we work and live. But as our understanding of AI, its possibilities and its role in our world continues to evolve, it’s important to remember that its effectiveness is grounded in the non-digital world.  

A great example of this is how Eagleview powers their AI software with their industry-leading aerial imagery. In other words, Eagleview uses their clear, geospatially accurate aerial imaging to work with an AI model to offer their customers new tools and products. Keep reading to learn more about this intersection of aerial imagery and AI.  

What’s the difference between generative and agentic AI? 

Most people are familiar with generative AI — the technology behind tools that create text, images and code from prompts. It’s designed to generate content based on patterns in training data. But we’re now entering the next phase: agentic AI. 

Agentic AI doesn’t just generate — it acts. It can reason through a task, make decisions and execute steps toward a goal, sometimes autonomously. Think of it like a smart assistant that not only tells you the best route, but also schedules the trip, books the hotel and alerts the team. 

For example: 

• In insurance, an agentic AI could identify damage, initiate a claim and recommend repair vendors. 
• In construction, it might detect delays, reorder supplies and notify stakeholders. 
• In government, it could monitor infrastructure, trigger inspections and reallocate resources in real time. 

But these decisions are only as good as the data behind them. 

Why aerial imagery is a critical input for AI 

AI models can only make smart decisions when they understand the world as it is. That’s why aerial imagery is so important. It provides context, precision and a constantly updating view of the physical world—data that can’t be faked or inferred from digital inputs alone. 

This is the foundation of our AI meets AI vision: combining advanced artificial intelligence with the unmatched clarity of high-resolution aerial imagery. 

With it, AI systems can: 

• Understand spatial relationships between assets and infrastructure 
• Detect and track changes over time, such as new construction, storm damage or vegetation growth 
• Extract insights that inform planning, operations and automation 

High-resolution aerial imagery grounds AI in reality. And in industries that rely on what’s happening on rooftops, in alleyways or along power lines, that reality matters. 

What AI can do will keep changing — but the need for imagery won’t 

AI models will continue to evolve. New use cases will emerge. Workflows that require human review today may soon run autonomously. But the one constant will be the need for real-world data that reflects the physical environment. 

That’s the role aerial imagery plays. And it’s not going away. AI will always need to see the world — clearly and accurately — to make decisions we can trust. 

Start with the right foundation 

If you’re exploring how AI can support your business, don’t just think about the model. Think about the inputs. Eagleview’s 1-inch resolution imagery provides one of the most detailed and trusted views of the built environment—feeding AI systems the data they need to: 

• Increase decision confidence 
• Reduce manual review 
• Trigger workflows automatically 
• Scale intelligence across regions and teams 

Want to explore what aerial imagery and artificial intelligence could unlock for your team? Contact the Eagleview team! 

Original article source: Eagleview