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Machine learning development
services & solutions
Machine learning solutions we develop
We deliver AI agentic solutions that autonomously handle complex, multi-step business processes with maximum accuracy and efficiency, minimizing the need for human intervention.
Our experts create ML-powered solutions that analyze visual information like images and videos to extract valuable insights for data-driven decisions and trigger proper actions in real time for process automation.
We design and develop interactive AI solutions that vary in scope and complexity, including AI-powered chatbots and virtual assistants that provide 24/7 employee and customer support, enhancing user engagement and overall service efficiency.
Our team develops data analytics solutions powered by predictive models and data mining techniques to forecast market trends, customer behavior, business performance, and other scenarios for proactive decision-making and effective risk management.
We build ML-based engines to segment users and target them with personalized product, content, or service recommendations, delivering tailored customer experiences and driving sales and revenue.
Generative AI solutions
Our specialists build GenAI solutions that leverage multimodal language models to generate original content, including text, music, images, and code, speeding up time-consuming content creation processes and minimizing user workload.
Natural language processing software
We engineer NLP solutions that can understand text or speech data and respond to it, mimicking human communication, for more engaging user experiences, increased employee productivity, and streamlined administrative workflows.
Our developers create robotic process automation solutions enhanced with artificial intelligence and machine learning technology to automate complex, high-volume tasks that traditionally require human judgement, minimizing manual efforts and operational overhead.
Looking for a reliable machine learning development company?
Our ML development services
ML development & implementation
Our machine learning experts carefully analyze your business needs to deliver tailored ML solutions and integrate them with your IT environment and business workflows. We handle the entire ML solution development cycle, from data preparation and model training to software integration and post-launch optimization. As an alternative to custom machine learning development, we deliver platform-based ML solutions, speeding up project implementation.
MLOps
Our specialists help you adopt MLOps’ best practices, including automated ML model testing and deployment and continuous model monitoring and tuning, to speed up the machine learning lifecycle, ensure optimal software accuracy and reliability, and facilitate troubleshooting.
ML consulting
Our consultants work closely with your team to identify operational bottlenecks and optimization opportunities and develop a tailored strategy and a detailed roadmap for implementing an ML solution that meets your specific needs. Additionally, we provide ongoing advisory support throughout the ML development process, assisting with software requirements definition, feasibility analysis, data preparation, software design, and ML model development to ensure the success of your project.
Data engineering
We build scalable data management systems to integrate, transform, and store large data sets, making them ready for ML model training. This involves setting up ETL/ELT pipelines and creating secure data storage solutions such as data lakes and data warehouses, which serve as a solid foundation for your machine learning initiative.
ML integration
Our team can integrate custom or pre-built machine learning models into existing solutions used in your established workflows, enabling access to more advanced functionality without potentially costly and disruptive software replacements.
ML optimization & support
From proactive monitoring and performance optimization to continuous model refinement and enhancement, we provide comprehensive support to ensure your ML solution remains efficient, effective, and fully aligned with your business goals throughout its entire lifecycle.
50%
faster image recognition
ML-based solution for brand recognition & reporting
Computer vision
We developed a user-friendly ML-based image recognition solution for identifying brands in images and generating bespoke reports.
+25%
client satisfaction
AI-powered shoppable video platform
Computer vision
We enhanced a video ecommerce platform with machine learning capabilities to enable automated recognition of more than 1.5 million products across images and videos.
+8%
buyer conversion rate
AI-powered platform for a fashion retailer
Computer vision Data mining
We built a solution to analyze online user behavior with machine learning and personalize user interactions, increasing the visitor-to-buyer conversion rate.
Telemedicine-ready EHR
Natural language processing
We created an EHR solution with innovative voice recognition, smartpen, and clinical text analysis capabilities to optimize medical workflows and product usability.
Our ML development tech stack
Programming languages | R | |||
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Deep learning frameworks | TensorFlow | PyTorch | Transformers | |
Generative AI SAAS |
| Stability AI | NVIDIA Avatar Cloud Engine | Midjourney |
NLP technologies |
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Computer vision technologies |
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Data mining technologies |
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Cloud providers | Google Cloud Platform | Hugging Face | ||
Working environment |
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| MLflow | Weights & Biases |
Visualization & presentation tools |
| Matplotlib | Seaborn | Plotly |
Implement an ML solution risk-free with Itransition
ML development across industries
We help healthcare organizations ensure better medical outcomes with ML-powered medical image diagnostics and treatment plan personalization and improve patient care and engagement with NLP-powered medical assistants.
Our experts build ML software solutions to help financial organizations provide more personalized banking services through customer segmentation and minimize business risk via ML-powered credit scoring and fraud detection.
We develop ML software that facilitates market sentiment analysis, stock price forecasting, algorithmic trading, and automated portfolio management recommendations for businesses to optimize trades and investments and proactively mitigate financial risks.
Our specialists develop ML solutions facilitating targeted marketing, demand forecasting, and advanced video surveillance to boost sales, automate inventory management, and create safer shopping environments.
We provide online retailers with product recommendation engines, digital shopping assistants, dynamic pricing tools, and ML-powered platforms for customer profiling and behavior data analysis to ensure buying experience personalization and revenue growth.
We engineer software solutions that help real estate agencies find investment opportunities via ML-powered appraisal and market value prediction and close more deals through automated listings generation and property matching.
Our team develops ML systems for manufacturers to enhance product quality via generative design and computer vision-based quality control, while improving production planning, output, and continuity through demand forecasting and equipment predictive maintenance.
We build software solutions featuring ML-enabled warehouse automation, AI-driven carrier allocation and route optimization, and vehicle predictive maintenance to help businesses streamline supply chain operations, speed up order fulfillment, and prevent service disruptions.
Our experts develop intelligent tutoring systems and advanced software for adaptive and inclusive learning to improve student engagement and educational outcomes.
Our ML solutions help farmers boost crop performance and food safety through computer vision-powered yield mapping, disease and weed detection, and livestock health condition monitoring.
What you get from an ML solution by Itransition
Improved customer experience
By fostering engagement and personalization via ML-powered ad targeting, recommendation engines, chatbots, and virtual assistants.
Enhanced decision-making
Thanks to actionable insights and forecasts provided by analytics systems powered by ML algorithms, which can lead to better investments, resource allocation, and improve strategic planning.
Increased operational efficiency
Through the automation of repetitive and time-consuming activities and the optimization of existing business processes based on data-driven insights.
Business risk mitigation
By preventing service disruptions, fraud, financial loss, and other negative outcomes via ML-based predictive analytics and anomaly detection.
How we approach ML development
Software quality & accuracy
We deliver high-quality ML software solutions designed to achieve maximum performance and fully meet the expectations of end-users and stakeholders.
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An ISO 9001-compliant quality management system to build ML solutions meeting the highest software engineering standards
- Bias-free ML model training with large, diverse, and accurately cleaned data sets from reliable sources
- ML model operation assessment via performance metrics and fine-tuning through retraining iterations with new data sets
Security & compliance
We ensure the security of the ML software development process and the resulting product to mitigate cyber risk and comply with relevant regulations.
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An ISO 27001-certified information security management system to safeguard your project’s development environment and related data assets
- Integration of cybersecurity mechanisms like IAM, multi-factor authentication, and data encryption into your ML solution
- Developing the solution adhering to GDPR, HIPAA, PCI DSS, and other data processing and management standards and legislation
Flexible cooperation
We offer multiple engagement options to best meet your ML development project budget and resource requirements.
- Full project outsourcing
We implement your project end-to-end while you closely monitor our progress. - Dedicated teams
We assemble and manage a team of ML specialists to work on the project alongside your in-house or external experts. - Staff augmentation
We provide individual experts who will join your team and work under your management.
About Itransition
Offering IT services since 1998
5+ years of experience in ML and AI development
An internal AI/ML Center of Excellence
Official partnerships with Microsoft and AWS
Clients ranging from startups to Fortune 500 companies
Awards and recognitions from Deloitte, Gartner, Forrester, and Everest Group
4.9 overall review rating on Clutch
FAQs
Pricing can vary greatly depending on the type of ML solution you intend to build for the chosen real-world use case. When estimating ML TCO, we factor in data-related attributes (number of data sources, data type, data volume, and data quality used for ML development), machine learning algorithm accuracy requirements, ML approach and methodology, and infrastructure costs.
Basic PoC implementation starts from $10,000. If you’d like a ballpark estimation of the cost and resources needed to implement your ML project, you can contact our consultants.
Machine learning models are trained on labeled data (in supervised machine learning) and unlabeled data (in unsupervised machine learning). We can use any data that can be converted into numbers, including tabular data, text, images, video, and graphs. That said, training data should be as close as possible to production data.
As for data volume, the more, the better. At the same time, data diversity is as important as data volume. In case data volume or quality is not satisfactory, we help you collect new data sets or reuse available training sets.
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.
No, we handle ML model development and train it on our instances.
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