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Transform Your Growth with custom ai software development in 2026

Explore how custom ai software development can boost efficiency, cut costs, and deliver measurable value - find trusted partners and practical steps for 2026.

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Kelwin, CEO sharing NILG.AI's success story
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NILG.AI’s Success Story with Vonovia at the Hands on Data Conference 2023

In the dynamic world of AI, NILG.AI continues to shine as a beacon of innovation and excellence. At the Hands on Data Conference 2023 (HODcon), our spotlight shone on our journey on the “Image Insight” Challenge with Vonovia, Europe’s leading housing company. Our CEO, Kelwin Fernandes, took the stage alongside Bastian Winkenbach, Head of Advanced […]

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Five Years Helping Entrepreneurs Embrace AI

We celebrate the 5th anniversary of NILG.AI with immense pride and gratitude. Over the years, we’ve embarked on a transformative journey, and today, as we commemorate this milestone, we want to take a moment to reflect on our accomplishments and share our exciting plans for the future. NILG.AI Fifth Anniversary: A Year of Remarkable Achievements […]

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Classifying text using LLMs

  Text classification is one of the most common use cases in Natural Language Processing, with numerous practical applications – now easier to access with Large Language Models. Companies use text classification in multiple scenarios to become more efficient: Tagging large volumes of data: reducing manual labor with better filtering, automatically organizing large volumes of […]

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NILG.AI will be at the Iqony Technology Days 2023

Innovation drives the future of the industry, and at NILG.AI, we’re committed to leading this charge. Therefore, we’re excited to announce our participation in the upcoming Iqony Technology Days 2023, scheduled for this September in Brühl, Cologne. Our enthusiasm is fueled by our recent victory in the Hands On Data (HOD) challenge earlier this year.  […]

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Making Money with Mediocre AI Models

In the world of AI, it’s easy to assume that only the most accurate models can bring value to your business. However, this is far from the truth. In fact, even mediocre models can be transformed into money-making machines with the right strategies. In this article, we’ll explore three real-life examples of how we turned […]

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Spatial Explanations: Unlocking Insights with Occlusions

Spatial Explanations with Occlusions: In computer vision, businesses must grasp the workings of image models to fully leverage visual data. Our simple method called spatial explanations with occlusions, helps achieve a deeper understanding. By employing spatial occlusions across images, this technique unveils critical areas that significantly influence the model’s predictions.” What to do with these […]

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Empowering Wheelchair Users at VOXPOP’s Demo Day

Lisbon, Portugal– On July 10th, NILG.AI proudly presented its urban mobility solution, SafeJourney, at VOXPOP Demo Day. The event showcased innovative projects aimed at transforming urban mobility. NILG.AI’s CEO Kelwin Fernandes and Pedro Serrano, data scientist at NILG.AI were present at the event, where they had the opportunity to present SafeJourney, an AI solution to […]

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Making Decisions in AI: Beyond Predictions

Artificial Intelligence (AI) has become a prominent field, and many organizations are eager to harness its potential. However, there is a crucial aspect that often gets overlooked: the decision-making process. After more than 10 years of working in AI, I firmly believe that instead of focusing solely on predictions, we should prioritize how AI can […]

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The ABCs of Computer Vision Course is now available!

At NILG.AI, we believe that knowledge is the currency of the 21st century, and our commitment to knowledge sharing drives us to create, acquire, nurture, and facilitate its flow. Today, we are thrilled to announce the launch of our latest free course, The ABCs of Computer Vision – an exciting opportunity to dive into the fascinating […]

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Protect your AI Model from attackers!

Machine learning models can achieve amazing results performing tasks they were designed to. They can also have catastrophic performance if the data we feed the model is not compliant with the data used to train it. This can be exploited as an adversarial attack on our model. Adversarial attacks are a common and growing problem […]

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