AI/ML Development

Got that ‘I wish there was an AI for this” moment?

Build AI-ML aided solutions, beyond the hype. Make AI work for your business.

Welcome to Codewave’s ‘AI & ML Development’ services—where we find problems worth solving with AI such as – poor customer care, slow manual processes and stagnation without self-aware, self-improving systems.

We build custom AI solutions like GenAI tools, Conversational bots, Voice to text, Image recognition, Sentiment analysis and Self improving systems that lead to immediate, visible business impact. Our capabilities of exploiting AI to make your business faster and more memorable – gives your brand a Technology MOAT.

Why you'll love us?

We’re 10x thinkers and change makers, driving extreme-value innovation through human-centric design and emerging tech, defying the traditional. With a track record of serving 300+ businesses globally, collaborating with VC firms, startups, SMEs, and governments, while also developing our own GenAI products – we’re obsessed with building high-impact products, ready for scale.

benefits

Why Codewave, for AI-ML development?

What to expect

What to expect working with us.

We transform companies!

Codewave is an award-winning company that transforms businesses by generating ideas, building products, and accelerating growth.

Frequently asked questions

.01 /What's the difference between AI and ML?

AI is the broader field of intelligent machines, while Machine Learning (ML) is a specific technique where algorithms learn from data without explicit programming.

.02 /What are the benefits of AI-ML development?

AI-ML can automate tasks, improve decision making, personalize experiences, and uncover hidden insights from data.

.03 /What kind of data is needed for AI-ML development?

Large, high-quality datasets relevant to the problem you’re trying to solve are crucial for effective AI-ML models.

.04 /What are some common challenges in AI-ML development?

Data bias, security risks, explainability of AI decisions, and the need for specialized skills and resources are challenges to consider.

.05 /What tools are used for AI-ML development?

Popular frameworks include TensorFlow, PyTorch, and scikit-learn, along with programming languages like Python and R.

.06 /Do I need to be a programmer to get into AI-ML development?

While programming is a plus, there are roles like data analysts and domain experts who collaborate with developers in this field.

.07 /What are some exciting areas of AI-ML development?

Natural Language Processing (NLP), computer vision, robotics, and healthcare applications are rapidly evolving with AI-ML advancements.