Data science development services
Data science as a service
We cover all of your needs in Data Science, Machine Learning and AI.
Consulting & research
Want to get more out of data but not sure where to begin?
We’ll guide you through the world of data science.
Data science development
Have a specific data science project in mind?
We handle all stages of data science, including and data mining (CRISP-DM). From business understanding to deployment.
DS & BI tool integration
Want to introduce a ready made data science tool?
Save your budget and let us integrate your workflow with data science tools of your choice. Platform independent.
Data science outstaffing
Have trouble finding data science talent?
Hire data scientists and engineers quickly and with no bureaucracy.
83% of companies claim that AI is a top priority in their business strategies – Forbes.
Book a free session with a data scientist
Find out how data science fits into your organization. No strings attached.
Case studies
AI-driven question-answering system for learners
AI Chatbot for an eLearning SaaS Platform
AI-based behavior analysis & sales forecast for retail
AI-based document workflow assistant
Data science services we offer
We cover all of your data science needs: from consulting to development. We got it covered.
Business understanding
Learn how data science can be applied to your organization. Talk to industry experts and business analysts to see the big picture.
Data mining & ML
Use machine learning algorithms to make the best out of your data.
Cloud computing
Get processing and storage power for your data science projects. Hire cloud development services.
Database design
Develop databases ready for DS. Manage and secure your database. Clean and organize your data.
Data analysis
Our data analysts will make sense of your data. Get any type of analysis: descriptive, diagnostic, predictive, or prescriptive.
Looking for more services? We are full cycle software developers, so we’re ready to handle all related services: UX/UI, database design, 3D modeling, business analysis – we can cover the whole scope of your project.
Budget your data science initiatives
Take 2 minutes to estimate the budget for your project.
Have a project in mind?
Discuss your project with our DS experts.
True data science experts
There are 3 core elements to data science. We cover them all.
Industry expertise
Partners choose us to analyze and solve business problems. We have experts in 15+ industries.
Math & statistics
Our data scientists know their math. We employ experts with PhD and Masters degrees.
Computer science
We have 22+ years of software development experience with 60+ long term projects.
AI will increase the US GDP by 21% before 2030 – Forbes.
Meet the data science consultants
We are heavily industry-focused. We’ve worked with clients from 15+ industries, but our core expertise is in education, healthcare, and logistics.
Alex
Data Science ConsultantExperienced Data Science Consultant with over 14 years of expertise in predictive modelling, data processing, and building data teams across multiple sectors. 5+ years of leadership, including a role as Head of Data Analytics at a 2 Unicorn companies. Holds a Ph.D. in Radiophysics.
Hanna
Data Science ConsultantMore than 4 years of experience in Machine Learning and Data Science, time series, computer vision, audio processing, LLMs, data and transaction analysis with focus on Retail, Healthcare, and Banking. B2 in English and German.
DS solutions we provide
Tackle any business issue with data science development services. We develop any DS-related project.
Descriptive analytics
Reveal trends and insights from your historical data. Get a snapshot of your true business performance.
Diagnostic analytics
Learn why stuff happens. Uncover root causes and understand what influences your outcomes.
Predictive analytics
Anticipate the future. Use historical patterns to calculate outcomes with ML and neural networks.
Prescriptive analytics
Move from insights to action. Make data driven decisions and find the optimal course of action.
Business intelligence (BI)
Transform raw data into visual reports and gain actionable insights.
Data warehousing
Centralize and optimize your data storage. Ensure efficient management, retrieval, and analysis of large datasets.
Anomaly detection
Identify unusual patterns in your data. Intervene early and maintain data integrity.
Risk management
Calculate the risks. Get proactive strategies for a resilient business.
Product quality
Adhere to the highest quality standards by automatically analyzing your production process.
Image analysis
Provide automated visual inspection. Recognize objects, faces, and emotions.
Centralize your data, detect anomalies, and ensure the highest quality standards. Move beyond insights to action with our tailored development services. Your path to data-driven success starts here.
Real-life DS applications for any industry
Data science helps all sorts of companies. From large enterprises to small startups, knowledge is power.
eLearning
Improve the education process. Analyze learners’ behavior, tailor lessons to every student, identify at-risk students, and free teachers’ time with automated grading.
Logistics & supply
Step up your supply chain with data, from predictive maintenance to demand forecasting. Streamline operations, optimize routes, and enhance logistics efficiency.
Healthcare
Transform patient care and comply with HIPAA. Find the best treatment plans and optimize drug dosages.
eCommerce
Boost sales and customer satisfaction. Reshape online shopping and understand market trends. Provide personalized recommendations or dynamic pricing.
Finance
Take the lead in algorithmic trading and analyze market trends. Develop a risk management guardian to identify pitfalls and improve decision-making.
Other industries
Every industry can benefit from data. Get in touch to learn about data science implementation for your business.
Industry expertise is important. That’s why we have experts with experience in +15 different industries. We enhance efficiency, minimize risks, and fuel innovation.
Need to check an idea fast?
Here’s how fast we usually deliver results. This depends on lots of factors, and our experts can estimate your specific project: normally 2 weeks for the PoC and 3-5 months for a typical MVP.
Data science lifecycle
We follow CRISP-DM, the international standard for data mining. The stages are flexible, and we can start at any point to build you a perfect model. Here are the steps:
01Business understanding
We’ll grasp your goals and challenges to find out how machine learning will help you.
02Data understanding
Learn the strengths and limitations of your data.
03Data preparation
We will help gather, clean, and organize your data for analysis. The better your data, the better the ML model.
04Modeling
We’ll build and train your machine learning model.
05Evaluation
We’ll check how accurate the model is and how well it tackles your business challenges.
06Deployment
We’ll integrate the model into your business.
Clean, organized data lays the foundation for a powerful ML model. We ensure accuracy and effectiveness, integrating the solution seamlessly into your business.
Benefit from data science
Every project is unique. Every company is unique. That’s why we tailor our approach to your business needs. But here are just a few examples of how organizations transform with data science.
Supercharge workforce efficiency
Automate mundane tasks and lighten the employee workload using natural language processing and computer vision.
Cut maintenance costs
Implement predictive monitoring and preventive maintenance to save on future expenses.
Rev up operations
Fine-tune processes with demand forecasting and predictive modeling for peak production efficiency.
Increase customer satisfaction
Analyze customer behavior to make shopping more pleasant for your clients.
Streamline warehouse operations
Predict stock liquidity and forecast sales volumes. Use advanced analytics to optimize warehouse flow.
Tailor your customer approach
Craft personalized offers based on customer behavior data, ensuring a bespoke shopping experience.
Break free from traditional coding
When traditional development feels long and costly, machine learning is your agile solution.
Enhance marketing strategies
Refine your marketing approach with data-driven insights. Optimize campaigns, target audiences effectively, and maximize your ROI.
Fine-tune HR processes
Revolutionize human resource management with data-driven hiring decisions, employee engagement strategies, and predictive workforce analytics.
Improve manufacturing processes
Boost efficiency in manufacturing through predictive maintenance, demand forecasting, and quality control using data science.
Optimize energy consumption
Analyze energy usage patterns to reduce costs and enhance sustainability. Implement predictive models and go green.
Strengthen cybersecurity
Guard against cyber threats using advanced data analysis. Identify patterns indicative of potential security breaches and fortify your digital defenses.
Improve every aspect of your business. Marketing, operations, customer satisfaction – all gets better when you leverage your data.
Our data science methods
To get insights into your data, we apply the whole arsenal of data science. From math and statistics to machine learning and neural networks.
Statistics
Descriptive statistics. To aggregate user engagement metrics, detect anomalies in website traffic, and visualize trends in product usage data.
Time Series Models: AR, MA, ARMA and ARIMA. To predict traffic fluctuations, stock market volatility, and demand variations.
Bayesian inference. To predict website downtime, identify likelihoods of bugs, and model geographical patterns in user behavior.
Non-NN machine learning
Classical ML Models. Linear Regression, Logistic Regression, Naive Bayes, Decision Trees, Random Forest, Support Vector Machines (SVM), K-Nearest Neighbors (KNN), Clustering Algorithms (K-Means, Hierarchical Clustering).
Gradient Boosting Models. XGBoost, LightGBM, CatBoost.
Dimensionality Reduction. Principal Component Analysis (PCA), t-distributed Stochastic Neighbor Embedding (t-SNE).
Neural networks
Convolutional Neural Networks (CNN). For image- and video related tasks: image classification, object detection, and facial recognition.
Recurrent Neural Networks (RNN). For sequential data analysis: predicting user behavior patterns or forecasting stock prices.
Long Short-Term Memory (LSTM). For modeling long-range dependencies: predicting long-term trends in financial markets, understanding context, and analyzing patterns in time-series data.
Autoencoders. For dimensionality reduction and feature learning: compressing and reconstructing images, enhancing anomaly detection in industrial equipment, and improving feature extraction in signal processing.
Generative Adversarial Networks (GAN). For data generation and manipulation tasks, like creating realistic synthetic images and enhancing dataset diversity for training ML models.
We cover most types of data science methods. Didn’t find yours? Reach out for more info.
Our data science tech stack
This is the list of technologies we use to provide high-quality Data Science development services.
Platforms & services
Frameworks & libraries
Databases we are using
Let’s talk technology
Have a rare tech stack on your project? We are open to new solutions.
What clients say about us
We are a trusted DS partner with a five star rating on Clutch. This is what partners say about us.
Bright team caring about their clients
Aristek Systems has increased our velocity by 25%. Aristek’s team has been efficient and flexible, ensuring an effective workflow. Their positive attitude, personable approach, and genuine interest in our success have been hallmarks of their work.
Flexibility & adaptation to clients needs
We’re delighted with Aristek Systems’ work; they’ve delivered a platform with great uptimes and take care of any issue that arises. Aristek Systems uses Slack, Jira, Notion, and Google Meet to keep a communicative and punctual process. The flexibility is great, too.
Responsiveness at all levels & thoughtfulness about duties
Aristek Systems met 100% of our requirements within the first month of implementation. The team increased the company’s market share by 45% within the first year of the product release. The customized solution software was successfully introduced to 50 states.
FAQ
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