The list of proposed services covers, non-exclusively, the following areas:

1. Consulting and advisory services to businesses seeking to implement artificial intelligence (AI) and machine learning (ML) solutions:
   1. Evaluating business goals and challenges and identifying areas where AI/ML can add value,
   2. Creating an AI/ML implementation roadmap,
   3. Setting clear objectives and key performance indicators,
   4. Evaluating various AI/ML tools and platforms,
   5. Recommending the most suitable technologies for specific business needs.
2. Custom AI Solutions: Developing tailored AI and ML models and algorithms. This might involve natural language processing (NLP), computer vision, predictive analytics, etc.
   1. Guidance on selecting appropriate algorithms,
   2. Support in developing, training, and validating ML models,
   3. Ensuring interpretability and transparency of models.
3. AI and ML-driven Predictive Analytics, Insights and User Experience (UX) Optimization. This includes:
   1. Customer segmentation, trend analysis,
   2. Sentiment analysis, which is important for businesses and organizations to understand customer feedback, helps improve their products and services.
   3. AI and ML-powered financial services for anomaly and fraud detection, risk assessment, and credit scoring,
   4. Algorithmic trading,
   5. Recommendation systems.
4. Training and Skill Development:
   1. Workshops and training programs for staff,
   2. Building internal capabilities to manage AI/ML solutions,
   3. Promoting a culture of innovation and data-driven decision-making.