Brain Machine Service

Machine Learning App Development Services with Brain Machine

Machine learning app development services that go beyond the hype — and straight to business value. Optimize costs of core business operations, unlock new sources of revenue, and increase the value of existing products with AI-based solutions. Whatever your business objectives are, we know how to meet them.

Our machine learning app development company introduces global businesses into the world of smart automation to reinvent, compete, and achieve new performance frontiers.

Embrace ML/AI capabilities to drive business outcomes

  • Win the customer experience race with data-based hyper-personalization capabilities
  • Address business opportunities and constraints across the entire value chain with end-to-end process optimization
  • Leverage data analytics for informed decision-making and elevate your crisis response
  • Provide unmatched convenience and enablement for your customers through self-service options
  • Amplify your digital products with gen AI features, natural language processing, and analytics to boost their ROI

AI App Development

Machine learning solutions crafted by Brain Machine optimize what you make and revolutionize how you make it — no matter the industry, challenge, or business case.

Our machine learning app development services scale your business to new heights

Problem identification and framing

Not every business use case is meant for machine learning technology. That’s why our ML developers resort to problem framing to determine your project’s technical feasibility and forecast the success of your ML solutions.

  • Business use case analysis
  • Machine learning problem framing
  • Proof of Concept
  • Prototyping

Data transformation

The accuracy of machine learning algorithms depends on how complete and reliable your enterprise data is. Our data scientists take your data on a transformation journey to clean, enrich, and label the input for high-quality ML solutions.

  • Data preparation and transformation
  • Data collection and labeling
  • ETL data pipeline development
  • Data quality validation

Validation and deployment

Before deploying it into a target environment, we test, validate, and optimize your ML solution to ensure high performance in production. After that, our developers select the right deployment approach and make the model available for the end users.

  • Evaluation of model performance
  • ML model testing and validation
  • Model-specific optimizations
  • Integration of ML models into applications

Model and data monitoring and maintenance

After deployment, our team keeps an eye on your model to prevent its drift and debug it as you scale your solution. We also monitor closely the performance and accuracy of the model over time and refine it with new data.

  • ML model maintenance and tuning
  • Model evolution to address new business needs
  • Model troubleshooting and hotfixes
  • Reporting of model performance

Model development

Following your business goals, our AI experts offer an optimal machine learning model, evaluate its performance for your business use case, and fine-tune it with your data to improve the forecasting ability of the model.

  • ML model exploration and refinement
  • ML model evaluation
  • Training of machine learning models
  • Fine-tuning the parameters of ML models

Embrace ML/AI capabilities to drive business outcomes

Digital Product Engineering

SaaS Development

AI App Development

Ecommerce Development

Automation Software

Web Development

Software Modernization

AI-Integrated Marketing

Business Analysis