Machine learning development services
Machine learning
- Services
- Use cases by industry
- Insights
Why Itransition
5+ years of building AI-based solutions
Solid expertise in machine learning, data science, big data, and RPA
Adherence to HIPAA, GDPR, FDA, and other standards and regulations
Standing partnerships with Microsoft and AWS
Client spotlight
Want to entrust your ML project to a reliable technology vendor?
Machine learning solutions we build
As a part of our ML consulting service offering, we develop future-proof ML solutions for companies to automate time-consuming activities and assist human employees.
Customer tracking
Visual inspection
Natural language processing
Conversational AI
(chatbots and virtual assistants)
Sentiment analysis
Spam detection
Data mining
Identify unexpected events and patterns in data to detect fraud, malicious traffic, production defects, and more to take preventive actions.
Next-best action
Our machine learning development roadmap
1
Business needs analysis
Business needs elicitation
Evaluation of the current technology environment
Selection of an optimal ML use case
Functional and non-functional requirements definition
Project scope definition
Basic team composition:
a business solution consultant, an ML solution architect
2
ML solution design
Initial data analysis
Architecture design
Implementation approach and tech stack selection
PoC scope outline (if needed)
Deliverables, timeline, budget, and team establishment
Basic team composition:
a business solution consultant and an ML solution architect
3
ML solution development
Data preparation and validation
Feature engineering and selection
ML algorithm selection and model training
ML models performance metrics evaluation
Optimal model selection
Basic team composition:
a data/ML engineer, a project manager, a business analyst, and a QA engineer
4
Integration and deployment
ML solution integration into the existing environment
ML solution quality assurance
ML solution deployment to the production environment
ML model scaling in the target environment
On-demand deployment automation with DevOps tool
Basic team composition:
an MLOps engineer, a data/ML engineer, a project manager, and a QA engineer
5
Support
Maintenance of the production environment
ML solution performance monitoring
Improvement of solution accuracy/performance
Resolving edge cases
User training and support provision
Basic team composition:
a support engineer and a project manager
Technologies we work with
- Python
- R
- C++
- Java/Kotlin
- TensorFlow Keras PyTorch
- Skikit-Learn Theano MXNet
- NumPy NLTK Pandas
- SparkML Sonnet
- DarkNet Catboost
- XGBoost Annoy
- Faiss NvidiaDigits
- Residual neural network (ResNet) Recurrent neural network (RNN) Convolutional neural network (CNN) Regression models Categorization models
- Generative adversarial network (GAN) Neural radiance field (NeRF) Clustering algorithms YoloNet AlphaPose
- Skeleton detection Pose2Seg RetinaFace U-Net DBSCAN
- Amazon SageMaker Amazon Rekognition Amazon Lex Amazon Polly
- Azure Machine Learning Azure Cognitive Services Language Understanding Intelligent Service Azure Bot Services
- Cloud Machine Learning Engine Cloud Vision API Cloud Natural Language AI Cloud Speech API DialogFlow
- BI Tools
- Power BI
- Tableau
- Qlik
- Custom visualization
- Plotly
- Matplotlib
- ggplot2
- Highcharts
ML development across industries
We develop ML solutions that help capture product demand and market trends, manage risks and customer churn, and tailor advertising, pricing, products, and services according to customers’ needs and demands.
We build ML-powered solutions that help personalize customer interactions in real-time with tailored recommendations, advanced search engines, and chatbots for 24/7 customer support. We can also create fraud and anomaly detection solutions to secure your online store.
We deliver ML capabilities to healthcare organizations to help improve the quality of medical diagnosis, patient experience, and disease treatment. Our experts can develop medical image analysis, visual assistants, chatbots, and virtual nursing with speech recognition solutions.
We engineer solutions to help financial professionals automate back-office operations, facilitate fraud detection, enhance customer support, and accurately measure credit risks. Itransition’s developers can deliver virtual assistants and chatbots, personalized service offerings, customer credit profiles assessment, and predictive modeling.
We develop custom machine learning systems that deliver personalized learning experiences through tailored content recommendations and learning plans, adaptive training activities, dynamic adjustments of learning speed and curricula.
Itransition’s machine learning developers create ML-enabled solutions that predict stock prices, forecast market trends and track financial instruments’ performance, detect fraud, and send customizable alerts.
We create tailored machine learning applications that help companies dynamically segment customers, forecast demand, personalize ads, drive contextual advertising, and enhance customer engagement, retention and loyalty.
Our machine learning engineers develop solutions to help real estate companies stay profitable by making accurate market value and claim cost predictions, automating property performance monitoring, and enhancing customer experience with personalized recommendations and virtual tours.
Itransition creates ML solutions for manufacturers to optimize production processes and improve their efficiency with augmented quality controls, digital twins, predictive maintenance, and accurate product demand forecasting.
Itransition’s machine learning engineers build machine learning applications to help logistics companies optimize routes, boost fleet productivity, enhance traffic management, and ensure better passenger and cargo safety. We can deliver logistics-specific solutions for accurate delay predictions, driver assistance, traffic monitoring, and predictive maintenance.
Our machine learning developers engineer robust solutions for the agriculture sector to improve crop performance and food safety by automatically detecting diseases and crop quality, monitoring livestock health, and generating personalized treatment and management recommendations.
Learn about other industry solutions from our consultants
Benefits of machine learning development
Outstanding customer experience
Provided by ML-powered chatbots, virtual assistants, recommendation engines, and marketing automation tools.
Increased operational efficiency
Due to automation of repetitive and time-consuming activities, timely delivery of valuable analytics insights, accurate risk forecasting, and bottlenecks recognition.
Production efficiency
Enabled by accurate predictions of market trends and customer behavior tendencies, as well as demand and throughput forecasting.
Increased useful life of assets
Due to accurate calculation of asset remaining lifetime, predictive maintenance, automated asset maintenance, and upgrade planning.
Error reduction
Owing to the elimination of the human factor as a result of machine learning algorithms implementation.
Related services
Data science
Itransition offers data science services to enable companies to elicit insights from voluminous noisy data with the help of advanced algorithms and methods and resolve the most deliberate business problems.
Artificial intelligence
We help companies design and implement AI-enabled solutions to drive automation, personalize customer interactions, improve product quality, mitigate risks, and elevate employees’ capabilities and performance.
Predictive analytics
We create innovative business intelligence and analytics solutions to help enterprises discover data patterns and trends and forecast market trends, financial risks, customer behavior changes, and product demand.
Big data
Itransition builds solutions to help organizations capture and process big data and derive insights to optimize business processes and gain a competitive advantage.
RPA
We deliver ML-powered solutions that assist or substitute employees in routine tasks and increase results’ accuracy, decrease operational costs, and improve employees’ productivity and satisfaction.
Want to embrace ML capabilities?
ML development FAQs
How much does machine learning software cost?
How much data and what type of data is needed for a solution? What if we don’t have enough?
What pricing models do you offer?
At Itransition, we offer two pricing models for delivering machine learning projects:
- Time and material
Provision of ML development experts for projects with changing requirements due to scope uncertainty/expansion, where a customer pays based on the number of person-hours and materials spent to perform the required work. - Fixed-price
Provision of ML development experts for the projects with approved and fixed scope, development budget, and timeline for a fixed price.
Do we need to pay for the infrastructure to train the ML model?
Insights
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