Development and implementation of custom machine learning (ML) models for business
Convert accumulated arrays of historical data into a tool for precise profit forecasting and cost optimization. Developing predictive machine learning algorithms (XGBoost, LightGBM, PyTorch): demand forecasting and inventory balances, dynamic pricing algorithms, customer churn estimation (Churn), credit scoring and computer vision systems for production.
Accuracy of prediction (MAPE): 94.2% • Processed rows: 4.8M • Inference time: 18ms • Models in production: 6
How machine learning generates measurable profits in the millions
Instead of subjective intuition and Excel tables — learning mathematical algorithms that adapt daily
Minimization of frozen capital
The model calculates the supply schedule with precision down to the day and product positions, preventing shortages and overstocking.
Maximization of average check (Cross-sell)
Recommendation ML models show personalized product selections, increasing the conversion rate of online stores by 15–25%.
Detection of fraud (Fraud Detection)
Anomaly detection algorithms identify suspicious financial operations, thefts, or abuse of the bonus system in milliseconds.
Automated Visual Audit
Computer vision cameras inspect details, scan barcodes and monitor staff security without fatigue.
Full engineering cycle for creating ML solutions
From data cleaning of raw historical data to deployment of a scalable MLOps pipeline
Research data analysis (EDA) and hypothesis formulation
We are examining the distribution, completeness and correlations in your historical data, determining the potential accuracy of algorithms.
Generation of Features and Preparation of Datasets (Feature Engineering)
We create mathematical factors, time series, seasonal indices, and clean data from outliers and noise.
Training, tuning hyperparameters and benchmarking
Teach ensemble models (XGBoost, CatBoost, neural networks) and compare quality metrics (RMSE, F1, ROC-AUC).
Development of computer vision systems (CV)
Training of convolutional neural networks (YOLOv8, ResNet) for object detection, measuring dimensions and defect search.
Construction of MLOps pipeline and inference service
Packing the trained model into a high-speed REST/gRPC microservice (FastAPI, Triton, ONNX) for real-time predictions.
Monitoring of data drift (Data Drift) and retraining
We configure tracking of accuracy degradation over time and automatic retraining of the model on new fresh data.
Development and Implementation Packages Machine Learning
Choose the cooperation format: from concept validation (PoC) to full-scale corporate ML core
Calculate the cost of ML solution development
Select the task class and data preparation status
1. Type of mathematical task: Select Variant
2. Current status and volume of data of the company: Select Variant
3. Where will the trained model be deployed: Select Variant
How the project is delivered
Transparent process from first contact to final release on your domain.
Our Clients
Companies that have entrusted ALL IT Agency with the development and scaling of their digital solutions
Answers to common questions from customers
Key details regarding terms, independent website editing, and rights transfer.
Do you want to create a predictive ML model for process optimization?
Describe the task and what data you have already collected. Our Data Science engineers will assess the feasibility and present an architectural plan within 24 hours.
Confidentiality
Official NDA contract for system audit
Quick Feedback
We will contact you within 15 minutes during business hours.
Order ML Model Development
The tech lead will contact you within 15 minutes during working hours