Geisel Software, Inc.
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Are we thinking big enough when it comes to multimodal AI?
If I dropped something on the floor, you’d instantly connect the sound of the crash with what you just saw happen.
That’s how humans work.
👀 We combine visual information.
🎧 We process sounds.
📡 We integrate signals from the world around us.
Most AI systems don't.
Today’s multimodal models are starting to connect images, video, audio, and text. But that may be just the beginning.
What happens when we add data from chemical sensors, radiation detectors, thermal cameras, environmental monitoring systems, and other sources that humans can’t naturally perceive?
Imagine AI systems that understand not only what they see and hear, but also what they can detect through an entire network of sensors.
The result could be smarter machines, more resilient systems, and a much richer understanding of the world around us.
What’s the most interesting or unexpected use case you can imagine for truly multimodal AI?
05/14/2026
Curiosity didn’t kill the cat.
It built careers.
The drive to understand how things work, why they fail, and how they can be improved is what pushes engineers and teams forward.
🔍 Early on, that curiosity might look like opening up a gaming console to figure out how it works.
Today, it translates into exploring the limits of robotics, AI, and embedded systems.
But curiosity isn’t only technical.
🧠 It’s also about people.
Every interaction is an opportunity to ask:
What can be learned here?
Every person brings a perspective, an experience, something worth understanding for those who take the time to listen.
⚙️ At Geisel Software, that mindset is central.
Problems aren’t just solved. They’re reexamined with enough curiosity to uncover better approaches.
It’s what has enabled work across domains like surgical robotics and autonomous systems.
And there is always more to explore.
What’s something new you’ve learned recently?
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67 Millbrook Street, Suite 520
Worcester, MA
01606
