Machine learning and artificial intelligence
Create a smart app with machine learning (ML) to implement a greater degree of process automation, quickly react to market changes with accurate predictions, and get a lasting advantage over competitors.
Initiate new business models with computer vision, natural language processing, and speech recognition.
Handle multi-dimensional issues with non-traditional approaches based on improved analytics.
Speed up security risk discovery with integrated machine learning of patterns in your datasets.
Optimize labor costs with the help of robotic process automation and error-free documentation management.
ML- and AI-powered solutions
- Collect and process a wide range of data including historical data, customer demand information, market data, currencies, and news content.
- Build predictions with supervised ML, unsupervised ML, autoregression models, and more.
AI content analysis
- Benefit from ML and AI services such as natural language processing, optical character recognition, text preprocessing and evaluation, spam filters, document clustering, and linguistic research.
- Turn images, videos, and audio content into data sources and get trend labels as an output for further predictions.
- Build fast and self-improving algorithms to solve the combinatorial optimization problem.
- Solve other real-life optimization problems with advanced tools such as genetic algorithms, simulated annealing, stochastic local search, and reinforcement learning agents.
- Use all your data to create advanced customer segments and cohorts.
- Use customer segments for building segment-specific forecasts, discovering customer behavior trends, planning targeted marketing, and launching new features.
- Implement an AI-based anti-fraud system strengthened by ML.
- Discover and prevent email phishing, credit card and payment fraud, identity theft, document forgery, fake account identification, form jacking, account takeovers, and more.
- Build a data warehouse to structure your data for analytics and decision-making.
- Use diverse techniques for data mining including association analysis, regression analysis, and classification and predictions.
Need a solution that’s not listed above? Contact us and learn what we can offer to meet your ML and AI app development needs.Request more information
More services to streamline business efficiency
Data science solutions
Data migration and maintenance
IoT data management
Big data, BI, and analytics
Time series data analysis and forecasting
Data structuring and visualization
Robotic process automation
Intelligent document processing
Automated front-office support
Automated security records
Improved recommendation systems
Who can benefit from ML and AI integrations?
AI- and ML-based software solutions can significantly increase value and efficiency for businesses in a range of industries. Below are just some of the possible benefits.
Optimize payment processes
Interpret medical images while minimizing errors
Create drug discovery solutions
Use AI systems that automatically learn for patient engagement
Automate fraud detection and risk exposure analysis
Safely manage customer data
Build AI solutions for financial advisory
Use virtual assistants for customer support
Improve service personalization and product recommendations
Apply predictive analytics for demand forecasting
Streamline visibility at all supply chain stages
Implement self-service assistants for customer support
Use predictive maintenance
Build solutions for remote management and autonomous control
Monitor manufacturing conditions and detect anomalies
Use neural networks for manufacturing simulations
Machine learning tech stack
Amazon web services
Looking for different solutions or technologies? Let us know and we’ll see what we have to offer.Request more information
Our approach to ML and AI development
Data source 1
Data source 2
Data source 3
Get data from multiple sources into a single system, e.g. a data lake
Extract, transform, and load structured data to the data warehouse
Build up specific datasets and prepare targets
Use ML for prediction modeling
Deliver predictions made in the form of reports
Some of our works
Learn how we developed a unified wealth management system for:
Collecting, processing, and visualizing financial data
Opening and monitoring investment accounts
Automating billing and charging operations
Providing details on customer finances in real time
See how we built a solution for load planning and identifying production plan feasibility that:
Minimizes time-consuming manual processes
Reduces the number of human errors
Decreases shipping and storage costs
Lowers labor costs with process automation
Learn how we created a load space calculator for delivery and logistics businesses that:
Calculates space use for storage facilities
Uses predefined and custom dimensions for load allocation
Sets space limits for volume capacities
Manages multiple load groups
Robotic process automation
Discover how machine learning app development companies help logistics businesses reduce the amount of manual labor and streamline routine tasks.
Business intelligence and advanced analytics solutions
See how you can use artificial intelligence app development to implement business intelligence and analytics in your software system to gain more value from your data.
ML for cost optimization and customer acquisition
Learn how to create an intelligent application for optimizing supply chain management costs and increasing the customer acquisition rate.