AI
Development
Leverage next-generation artificial intelligence solutions to drive efficiency, innovation, and gain a competitive advantage for your business.
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.
Case Studies
Approach
Want to test a new idea, bring a concept to life or improve a digital product? Great! Our dedicated web team will guide you through the following steps and partner you through the entire product 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.
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.
Model Selection
Select an appropriate AI model. Create new features or modifications to existing features to improve model performance.
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.
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.
Support
During the first week, we will monitor the performance of the artificial intelligence model in a production environment, identifying potential problems and performance degradation.
Tech stack
Python
R
AWS
Google Cloud
NumPy
TensorFlow
PyTorch
Recognition
Awards
Reviews
Project summary
Nyoka designed and implemented a neural network system to diagnose a heart condition for a medical company. The team integrated this system into the client's infrastructure and developed the necessary algorithms.
Review
The client was thrilled with the results from Nyoka and the system has raised the client's detection rate significantly. The team provided excellent project management and delivered everything on time. The client was highly impressed with the team's expertise, innovative ideas, and solutions.
Sales, Genexa - Michael McKinnon
Extended review
Next review