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

    AI-driven forecasting

    • 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.

    Portfolio optimization

    • 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.

    Customer segmentation

    • 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.

    Fraud detection

    • 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.

    Data mining

    • 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.

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    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.

    Healthcare

    • Optimize payment processes

    • Interpret medical images while minimizing errors

    • Create drug discovery solutions

    • Use AI systems that automatically learn for patient engagement

    FinTech

    • Automate fraud detection and risk exposure analysis

    • Safely manage customer data

    • Build AI solutions for financial advisory

    • Use virtual assistants for customer support

    Retail

    • 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

    Manufacturers

    • 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

    • Python

      Python

    • R

      R

    • Numpy

      Numpy

    • Scipy

      Scipy

    • Pandas

      Pandas

    • Scikit learn

      Scikit learn

    • H2O.Ai

      H2O.Ai

    • Keras

      Keras

    • Tensorflow

      Tensorflow

    • Theano

      Theano

    • Caffe

      Caffe

    • Google cloud

      Google cloud

    • Amazon web services

      Amazon web services

    • Microsoft Azure

      Microsoft Azure

    • Apache Spark

      Apache Spark

    • Hue

      Hue

    • Apache tez

      Apache tez

    • Hadoop

      Hadoop

    • Sqoop

      Sqoop

    • Matplotlib

      Matplotlib

    • Django

      Django

    • Seaborn

      Seaborn

    • Plotly

      Plotly

    • Flask

      Flask

    • PostgreSQL

      PostgreSQL

    • Jupyter

      Jupyter

    • Elk Stack

      Elk Stack

    • Apache Airflow

      Apache Airflow

    • Hive

      Hive

    • SQlalchemy

      SQlalchemy

    Looking for different solutions or technologies? Let us know and we’ll see what we have to offer.

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    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

    Lifeworks

    SaaSUSAFinanceWeb

    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 full case study
    Lifeworks

    123 Sourcing

    Supply chainMexicoWeb

    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

    See full case study
    123 Sourcing

    ContainerWizard

    Supply chainWebUSA

    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

    See full case study
    Container Wizard

    Need AI and ML experts?

    We have experience building cost-effective machine learning (ML) solutions for handling complex issues, initiating new business models, speeding up fraud detection, using AI for mobile app development, and more.

    Contact us