Data science development services

Partners choose us to analyze and solve business problems. We have experts in 15+ industries.

Our data scientists know their math. We employ experts with PhD and Masters degrees.

We have 22+ years of software development experience with 60+ long term projects.

Reveal trends and insights from your historical data. Get a snapshot of your true business performance.

Learn why stuff happens. Uncover root causes and understand what influences your outcomes.

Anticipate the future. Use historical patterns to calculate outcomes with ML and neural networks.

Move from insights to action. Make data driven decisions and find the optimal course of action.

Transform raw data into visual reports and gain actionable insights.

Centralize and optimize your data storage. Ensure efficient management, retrieval, and analysis of large datasets.

Identify unusual patterns in your data. Intervene early and maintain data integrity.

Calculate the risks. Get proactive strategies for a resilient business.

Adhere to the highest quality standards by automatically analyzing your production process.

Provide automated visual inspection. Recognize objects, faces, and emotions.

We’ll grasp your goals and challenges to find out how machine learning will help you.

Learn the strengths and limitations of your data.

We will help gather, clean, and organize your data for analysis. The better your data, the better the ML model.

We’ll build and train your machine learning model.

We’ll check how accurate the model is and how well it tackles your business challenges.

We’ll integrate the model into your business.

To aggregate user engagement metrics, detect anomalies in website traffic, and visualize trends in product usage data.

AR, MA, ARMA and ARIMA. To predict traffic fluctuations, stock market volatility, and demand variations.

To predict website downtime, identify likelihoods of bugs, and model geographical patterns in user behavior.

Linear Regression, Logistic Regression, Naive Bayes, Decision Trees, Random Forest, Support Vector Machines (SVM), K-Nearest Neighbors (KNN), Clustering Algorithms (K-Means, Hierarchical Clustering).

XGBoost, LightGBM, CatBoost.

Principal Component Analysis (PCA), t-distributed Stochastic Neighbor Embedding (t-SNE).

For image- and video related tasks: image classification, object detection, and facial recognition.

For sequential data analysis: predicting user behavior patterns or forecasting stock prices.

For modeling long-range dependencies: predicting long-term trends in financial markets, understanding context, and analyzing patterns in time-series data.

For dimensionality reduction and feature learning: compressing and reconstructing images, enhancing anomaly detection in industrial equipment, and improving feature extraction in signal processing.

For data generation and manipulation tasks, like creating realistic synthetic images and enhancing dataset diversity for training ML models.

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.

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.

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.