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.
For the second straight year, ScienceSoft USA Corporation is listed among The Americas’ Fastest-Growing Companies 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 and management, 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 analytics

Customer sentiment analysis
Customer behavior prediction
Sales forecasting
Context-aware marketing
AI-based product/service recommendation engines
Digital assistants

Financial management

Financial planning and analysis
Financial modeling
Algorithmic trading and hedging
Financial advisory and wealth management
Intelligent processing of financial documents
Dynamic pricing
Financial fraud detection

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

Defining business needs a firm wants to address with machine learning.
Analyzing the existing machine learning environment (if any).
Designing a machine learning strategy and roadmap.
Selecting optimal machine learning technologies.
Deciding on machine learning solution deliverables.

Data preparation

Exploratory analysis of the existing data sources.
Data collection, cleansing, and structuring.
Defining the criteria for the machine learning model evaluation.

Development and implementation of machine learning models

ML model exploration and refinement.
ML model testing and evaluation.
Fine-tuning the parameters of ML models until the generated results are acceptable.
Deploying the ML models.

Reporting

Delivering machine learning output in an agreed format.
Integrating machine learning models into an application for users’ self-service, if required.

Support and maintenance of machine learning models

Continuous monitoring and tuning of ML models for greater accuracy.
Adding new data to the ML models for deeper insight.
Building new ML models to address new business and data analytics questions.

Two years ago, 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. As a result, the system could track a flying target in a real-life outdoor environment and faultlessly detect shooter’s performance.

Simen Løkka, CEO, Travision AS

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Our Approach to Rendering Machine Learning Consulting

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

Programming languages

Machine learning platforms and services

Machine learning frameworks and libraries

Frameworks

Libraries

Big data

Data visualization

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

Our Featured Machine Learning and Data Science Projects

Machine Learning Consulting for Electric Energy Consumption Analysis and Forecasting

High-level design of ML-based software architecture to facilitate electric energy consumption analysis and forecasting.
Forecasting built on Seq2Seq models, LightGBM and XGBoost ML models.

Project details

Data Science Implementation for Sales Analysis and Forecasting

Accurate sales forecast built on a linear regression ML algorithm, an autoregressive integrated moving average (ARIMA) model, median forecasting and zero forecasting.

Project details

Automated Visual Inspection Software Development for Defect Recognition in Polyurethane Film

Detecting film defects in real time with the cv.findContours() and the OpenCV contourArea() methods.
Informed decision-making within the production process and improved production quality.

Project details

Development of Defect Recognition Software for an Oil Drilling Equipment Manufacturer

Analyzing the drill bit images with the Hough Circle Transform method, simple CNN and Mask R-CNN.
Optimized drilling equipment condition monitoring, timely detection of emerging drill bit defects, streamlined inventory management, reduced inventory holding costs.

Project details

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

Related Services We Offer

Machine learning as a Service

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

Data science services

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

Image analysis services

Designing and developing custom image analysis software.

Data mining services

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

Big data services

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.