What you get
Custom AI Software Development
Unlock the potential of AI with our custom software development services, designed to meet the unique needs of your business. We create AI applications, AI-driven automation, and AI-powered analytics that help you stay ahead of the competition.
Machine Learning Solutions
Leverage our expertise in machine learning to develop advanced models that learn from data and deliver actionable insights. We specialize in supervised learning, unsupervised learning, and reinforcement learning techniques.
Natural Language Processing (NLP)
Enhance your user experience with our NLP solutions, including chatbots, sentiment analysis, and text classification. We develop NLP applications that understand, interpret, and generate human-like responses.
Computer Vision Solutions
Harness the power of computer vision to automate visual tasks and gain valuable insights from images and videos. Our experts develop image recognition, object detection, and facial recognition solutions tailored to your business needs.
AI Integration
Maximize the value of your existing systems with our AI integration services. We help you seamlessly integrate AI capabilities and deploy AI models to enhance your operations.
Recommender systems
Nyoka engineers can analyze your processes and develop an ML-based recommendation system to increase your conversion rate.
Our Development Process
Consultation
We discuss with you the business goals, objectives and expectations of your AI implementation project. We identify specific use cases and opportunities where AI can have a significant impact.
Model Selection
Select an appropriate AI model. Create new features or modifications to existing features to improve model performance.
Model integration
Deploy a trained AI model on your server, such as a cloud server or your own hardware. Provide support and guidance for you throughout the deployment and integration process, ensuring a smooth transition.
Data preparation
We will assist in collecting the necessary data. Perform data preprocessing and transformation to ensure data quality. Divide the data into training, validity and test sets to facilitate model development and evaluation.
Development
Train the AI model on training data, adjust its parameters to optimize its performance. Fine-tune the hyperparameters of the model and make necessary changes according to your requirements.
Support
During the first month, we will monitor the performance of the artificial intelligence model in a production environment, identifying potential problems and performance degradation.
Used technologies
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