AI ML Frameworks
Our developers utilize powerful AI/ML frameworks like TensorFlow, PyTorch, and Scikit-Learn to build scalable and efficient machine learning models.
Algorithms
Our data scientists and AI/ML Engineers use ML algorithms, including decision trees, random forests, support vector machines, and k-nearest neighbors for classification, regression, and clustering tasks.
NLP Tech
SpaCy, NLTK, and transformers to unlock insights from unstructured data like text and speech. Appnox ML developers are skilled enough to perform hit and trial with latest advanced NLP tech
Neural Network
We build and optimize neural networks, including CNNs and RNNs to tackle complex pattern recognition tasks like image and speech recognition.
Frontend Programming Language
We use JavaScript (with React.js and Vue.js) to create interactive, user-friendly interfaces. These technologies ensure smooth and dynamic user experiences.
Backend Programming Language
Python for its extensive libraries in data manipulation, machine learning, and AI development. We also use Java and Node.js for scalable and high-performance server-side logic.