Machine Learning Consulting Services

The average cost to create an ML-powered app ranges between $25,000 to $50,000+ depending upon the business requirements. Whether you are developing it from scratch or planning to modernize the existing app with ML integration services, the actual cost of ML development services is driven based upon the complexity level of the requirements, hourly rates of the developer, and their location. To know an accurate cost breakdown of your ML development services, you can contact us or look for ML consulting services.

Machine Learning as a Service (MLaaS) refers to the cloud-based platform that allows developers to access ready-to-use ML Tools, including data processing, predictive analytics, and model training. It allows businesses to integrate AI capabilities without having to invest efforts and costs to build ML infrastructure from scratch.

Yes, Xicom, being a leading app development company, offers comprehensive support even after the app release where our team fixes bugs, analyzes performance, trains ML models, and conducts periodic updates to ensure your ML application remains updated and relevant with the evolving needs.

Our team of Machine Learning developers excels in providing a wide range of applications addressing various business needs, which include:

• Fraud detection and prevention systems
• Predictive maintenance for machinery and utilities
• Personalized recommendation systems
• Sentiment analysis and monitoring systems
• NLP-based chatbots and virtual assistant applications
• Image and object recognition systems
• Medical diagnosis and analytics systems

To select and hire the best Machine Learning app development company, you need to keep in mind these few key parameters:

• Look for proven expertise in AI/ML solutions.
• Check for a diverse portfolio of ML-powered successful projects.
• Ask for the platforms they use to handle communication and how they are transparent.
• Verify their team scalability scope and cost-effective engagement models.
• Ask for post-launch app support and maintenance services.

We follow an agile development approach to ensure regular progress updates and milestone tracking. Our dedicated development team practices transparent collaboration via project management tools. In addition, to ensure seamless communication, we assign a dedicated project manager who will be a source of contact for clients and remain available for communication and efficient execution of your ML project.

With ML implementation in the business process, you can automate repetitive tasks, optimize workflows, and provide data-driven insights. Further, from predictive analytics to intelligent automation, ML solutions help businesses reduce costs and improve productivity.