AI and Machine LearningConsulting Services
Key machine learning development services
Our ML tech stack
Frequently asked questions
Some of the assets, which can be optimized with ML technologies:
- Process customer requests in seconds.
- Provide personalized recommendations in real-time.
- Send individualized offers based on customer behavior data analytics; monitor client profiles to recognize and reduce fraud risks.
- Calculate stock liquidity, predict sales volumes, and optimize warehouse flow.
Implement machine learning automation for your business if you don’t want to lag behind your competitors.
Revolutionize your business with smart digital solutions for decision making with real-time data representation.
Our ML scientists can help you to:
- Elaborate a methodology that describes customer data collection for customer behavioral analysis.
- Deploy recommendation systems that automatically create personalized offers for each customer.
- Build an algorithm for lead qualification that classifies leads based on the available data in your CRM.
- Create an automated reporting system for dynamic electronic document storage that reduces operational costs.
A machine learning consultant is someone who can help you elaborate an artificial intelligence strategy for your business.
They help you:
- Collect and structure the data, and identify important insights.
- Research what ML algorithms and tools need to be used to automate your business processes.
- Increase revenue with better targeting via recognition of customer behavior patterns.
- Deploy an GDPR compliant ML solution that does not compromise on security, data privacy, and reliability of the whole system.
Let us help your business grow with smart ML solutions.
Empowering business with AI solutions
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Trustworthy partnership
Machine learning process goes through certain stages: from the research of business requirements to data preparation and modelling.
Our development team will be your reliable partner along the way.
Safety and Security
Security, stability, maintainability are no less important than functional requirements. The software reliability department works together with software engineers to make the solution scalable, easy to deploy, and flexible for further upgrades and modernization.
Quality Assurance
QA is critical to the success of the entire project. Therefore, these activities are part of each of our ML projects:
Durability/load/stress testing.
Unit tests and functional black-box testing.
General check for sustainability, invulnerability, and nonsusceptibility.