Aingler — Fair, Fast, Fishing Tournaments
AI-powered tournament management with computer vision for fish measurement.
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Great Products are not Prompted. They are Crafted.
Translate your vision into a product alive with human ingenuity — curious, elegant, imaginative, and capable of unexpected brilliance.
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Synthetic Data: Fish Length & Weight Measurement
The Challenge of Traditional Fish Measurement
Fishing tournaments have long relied on manual measurement techniques, often using bump boards to ensure consistent length readings. While effective, this approach comes with
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Building a Robot That Can Debug Itself
Building a closed-loop system where robots identify their own weaknesses and fix them
Meanwhile a quick demo of general purpose arm that you assigned a task using by just talking
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Synthetic 3D Data: Livestock Weight Estimation
Building an AI System for Cattle Weight Estimation Using Smartphones
Accurately estimating the weight of cattle is an important task for farmers and ranchers, as it helps them to manage
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Horse Face ID
The Challenge in Equine Event Management:
The organization of horse racing events is a complex endeavor, often marred by identification errors that can compromise the safety and integrity of the
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Synthetic Medical Data: AI Veterinary Platform
In the vast and intricate landscape of machine learning, few innovations hold as much promise for real-world impact as the application of AI to veterinary care. At tuul.ai, we&
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Work with Us!
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Computer Vision & Measurement Systems
From fish length detection to livestock weight estimation, we build AI systems that measure and analyze the physical world with precision.
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Real-World AI Applications
We specialize in taking AI from the lab to production. Whether it's tournament automation, biometric identification, or automated quality control, we build systems that perform reliably in field conditions, not just controlled environments.
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End-to-End Product Development
Turn your measurement challenge into a complete AI solution. We handle everything from data collection and model training to mobile apps and cloud infrastructure—delivering production-ready systems.