en flag +1 214 306 68 37

Machine Learning Consulting Services

Machine learning (ML) consulting services may include advising on and implementing ML-based software as well as supporting the existing ML initiatives. In data science and AI since 1989, ScienceSoft renders full-cycle machine learning services to introduce powerful (big) data analytics. We help companies solve business problems with accurate forecasting, root-cause analysis, data mining, and more.

Machine Learning Consulting Services - ScienceSoft
Machine Learning Consulting Services - ScienceSoft

What Makes ScienceSoft a Reliable Machine Learning Vendor

  • Data science and data analytics expertise since 1989.
  • Big data services since 2013.
  • Data warehouse services since 2005.
  • Image analysis consulting and development services since 2013.
  • Hands-on experience with all major languages, libraries and cloud services for data science.
  • ScienceSoft is a 3-Year Champion in The Americas’ Fastest-Growing Companies Rating by the Financial Times.
  • ISO 9001 and ISO 27001-certified to assure the quality of the machine learning consulting services and the security of the customers' data.
  • Domain experience in 30 industries, including manufacturing, energy, retail and wholesale, professional services, healthcare, financial services, telecommunications.

Machine Learning Use Cases We Cover

Supply chain management

  • Demand forecasting
  • Inventory planning, management, and optimization,  preventive alerting for inventory control
  • Identifying quality issues in line production
  • Supplier relationship management based on smart supplier selection
  • Identifying fraudulent transactions and preventing credential abuse

Production efficiency

  • Automated recognition of manufacturing defects
  • Power consumption forecasting and optimization
  • Process quality prediction based on process parameters
  • Production loss root cause analysis
  • Production output predictive modeling with varying inputs

Predictive maintenance

  • Predicting remaining useful lifetime
  • Flagging anomalous behavior
  • Predicting failure probability over time/in a certain number of steps
  • Root cause failure analysis
  • Providing recommended actions to take to avoid the potential failure

Transportation and logistics

  • Predicting vehicle demand
  • Predicting optimal amounts of fuel needed based on the analysis of driving patterns
  • Vehicle failure prediction and recommendation of maintenance actions

Operational intelligence

  • Operations anomaly and bottleneck recognition
  • Deviation root-cause analysis
  • Operational decision-making
  • Forecasting of operational performance metrics
  • Customer sentiment analysis
  • Customer behavior prediction
  • Sales forecasting
  • Context-aware marketing
  • AI-based product/service recommendation engines
  • Digital assistants

Financial management

Natural language processing

  • Sentiment analysis
  • Security authentication
  • Chatbots
  • Speech to text conversion
  • Spam filtering

Computer vision

  • Medical image analysis
  • Biometric verification
  • Tracking customers inside retail stores
  • Object recognition and classification in traffic
  • Autonomous vehicles
  • Packaging and product quality monitoring in manufacturing

Want to discuss your ML solution?

Having decades-long practice in machine learning projects, we are eager to share our expert knowledge to help you seamlessly avail ML for the listed cases or your specific area of ML use.

Discuss My ML Solution

Scope of Our Machine Learning Services

Depending on your needs and current ML environment (if any), our machine learning consulting services may include:


Business analysis


Technical design


Data preparation


Development and implementation of machine learning models




Support and maintenance of machine learning models

Our Featured Machine Learning and Data Science Projects

What Our Customers Say

We commissioned ScienceSoft to audit and upgrade our partially developed AI-based software for clay pigeon shooting tracking. ScienceSoft ramped up a development team consisting of two C++ developers, two data scientists, and a UI design expert to fulfill the project. The team identified core errors, which didn’t allow efficient solution operation, and implemented high-speed convolutional neural networks to fix them.

Star Star Star Star Star

Right from the start, your team showed professionalism and expertise that immediately put us at ease.

We appreciate that you examined our needs with great diligence and went above and beyond to develop a solution that fully meets our high demands for image quality. Special credit to the data scientist: the performance of the new image stitching algorithm is amazing. Overall, you have exceeded our expectations in every way.

ScienceSoft’s team undertook the development of our AI-based software product from scratch. They delivered software in time and with the required quality.

The team regularly shared detailed project updates and recommendations on how certain functions could be implemented in a more efficient way.

Our Approach to Rendering Machine Learning Consulting

We follow project management practices that we've polished for 35 years to drive projects to their goals regardless of time and budget constraints. 

KPIs-based service delivery

We can form the following KPI set:

  • Output quality KPIs:
    • Insights by value (high / average / low).
    • Forecast accuracy.
    • Missing alerts.
  • KPIs related to business results (decrease in customer churn, operational costs reduction, etc.).
  • User satisfaction score.

Guaranteed data security

To secure your data utilized for machine learning projects, we:

  • Process data on highly secure cloud facilities (Azure, AWS, Google Cloud).
  • Conduct 24/7 in-house data security monitoring.
  • Use secure data transfer methods (FTP and VPN) controlled via regular health checks.

Technologies We Use

Machine Learning Methods We Rely On

Non-neural-network machine learning

  • Supervised learning algorithms, such as decision trees, linear regression, logistic regression, support vector machines.
  • Unsupervised learning algorithms: K-means clustering, hierarchical clustering, etc.
  • Reinforcement learning methods, including Q-learning, SARSA, temporal differences method.

Neural networks, including deep learning

  • Convolutional and recurrent neural networks (including LSTM and GRU)
  • Autoencoders (VAE, DAE, SAE, etc.).
  • Generative adversarial networks (GANs)
  • Deep Q-Networks (DQNs)
  • Feed-forward neural networks, including Bayesian deep learning
  • Modular neural networks

Choose Your Service Option

Machine learning consulting

For companies seeking strategic guidance throughout the whole cycle of their machine learning development project.

Go for consulting

Machine learning implementation

For companies that need to design, develop and launch a smoothly functioning machine learning solution.

Go for implementation

Machine learning support

For companies that need to fix inefficiencies within their current ML environment and get tailored recommendations on increasing the quality of ML insights in the future.

Go for support

How Much Does an ML-Powered Solution Cost?

The cost of machine learning services can vary from $30,000 to $600,000+, depending on the service option and the project scope.

Developing a separate ML-powered component

Cost: $30,000–$200,000

  • Forecasting: $30,000–$150,000.
  • Prediction: $30,000–$150,000.
  • Optimization and planning: $50,000–$200,000.
  • Classification (e.g., of customers, orders, payments, transactions, vendors, outlets): $20,000–$70,000.
  • Anomaly detection: $30,000–$200,000.
  • Fraud detection: $70,000–$200,000.

End-to-end development of an ML-based solution

Cost: $200,000–$600,000

The yearly cost of support services may be estimated as 15–25% of the initial development costs, and it may amount to 70% of the TCO during the entire solution lifespan.

Get a Tailored Estimate for Your ML Initiative

Use our free online calculator to get the estimate for your project.

Related Services We Offer

Getting advanced data analytics insights derived with machine learning technologies or enhancing the existing machine learning initiatives without investing in in-house competencies.

Advising on, developing and supporting data science solutions to help companies run experiments on their data in search of business insights.

Designing and developing custom image analysis software.

Retrieving valuable insights out of large, heterogeneous and constantly changing data sets without investing in an in-house data mining talents.

Big data consulting, implementation, support, and big data as a service to help companies store and process big data in real-time as well as retrieve advance analytics insights out of huge datasets.

Why Turn To Machine Learning Consulting Right Now

Implementing machine learning solutions brings considerable benefits, including:

  • Increased employee productivity due to automating repetitive and routine tasks with computer vision and natural language processing.
  • Enhanced customer service experience due to AI-powered chatbots and virtual assistants facilitating real-time communication.
  • Accelerated sales process due to improved opportunity insights and better lead prioritization.
  • Reduced equipment maintenance costs due to predictive monitoring and preventive maintenance.
  • Increased production efficiency due to demand and throughput forecasting, production process optimization and predictive modeling of product quality.

Embrace Machine Learning Capabilities Now!

Turn to ScienceSoft’s consultants to get powerful machine learning capabilities before your competitors do.