ML services and solutions from certified machine learning experts
of total profit by 2030 will come from AI-powered product enhancements
PwC
expected cost reduction in the next 3 years among intelligent automation adopters
Deloitte
faster response time is expected by 2024 from companies adopting AI
Oracle
Itransition at a glance
5+ years of experience delivering successful ML projects
Proven expertise in artificial intelligence, machine learning, deep learning, and data science
25+ years in IT consulting and software development services
Adherence to HIPAA, GDPR, FDA, and other standards and regulations
Standing partnerships with Microsoft and AWS
Client spotlight
+25%
client satisfaction
AI-powered shoppable video platform
We deployed ML and computer vision into a video ecommerce platform to enable automated recognition of more than 1.5 million products across images and videos.
Enhanced
doctor-patient communication
Telemedicine-ready EHR
We developed an EHR solution with innovative voice recognition, smartpen, and clinical text analysis to optimize medical workflows and enhance product usability.
+8%
buyer conversion rate
AI-powered platform for a fashion retailer
We created a solution to conduct online user behavior analysis with ML to personalize user interactions and increase the visitors-to-buyers conversion rate.
+25%
client satisfaction
AI-powered shoppable video platform
We deployed ML and computer vision into a video ecommerce platform to enable automated recognition of more than 1.5 million products across images and videos.
Enhanced
doctor-patient communication
Telemedicine-ready EHR
We developed an EHR solution with innovative voice recognition, smartpen, and clinical text analysis to optimize medical workflows and enhance product usability.
+8%
buyer conversion rate
AI-powered platform for a fashion retailer
We created a solution to conduct online user behavior analysis with ML to personalize user interactions and increase the visitors-to-buyers conversion rate.
+25%
client satisfaction
AI-powered shoppable video platform
We deployed ML and computer vision into a video ecommerce platform to enable automated recognition of more than 1.5 million products across images and videos.
Enhanced
doctor-patient communication
Telemedicine-ready EHR
We developed an EHR solution with innovative voice recognition, smartpen, and clinical text analysis to optimize medical workflows and enhance product usability.
+8%
buyer conversion rate
AI-powered platform for a fashion retailer
We created a solution to conduct online user behavior analysis with ML to personalize user interactions and increase the visitors-to-buyers conversion rate.
Our customers say
Over the course of our collaboration with Itransition, we were consistently impressed with both skill and dedication their team employed to fulfill our business needs. Itransition’s involvement extended beyond the technical realization of the project, they acted as consultants, continuously helping us hone the project vision and suggesting approaches that would be best suited for the intricacies of our business.
Looking for top machine learning experts for your project?
Our machine learning services
Consulting
Our AI researchers and data scientists offer end-to-end assistance for organizations that implement machine learning solutions or upgrade existing machine learning applications. Our services range from business needs analysis and designing ML models to selecting the optimal strategy and technologies for implementing ML.
Development
We develop scale-ready MVPs and enterprise-wide ML tools to help our clients solve business problems and gain an advantage over their competitors. Our services include ML requirements elicitation, data management and visualization, machine learning model development and tuning, integration, and maintenance.
Our service delivery pipeline
1
Business needs analysis
We hold discovery workshops, interviews, and process observations to elicit business needs and user expectations, and assess the client’s technical environment. Based on the results, we select the suitable ML use case and define the ML solution’s scope and functional and non-functional requirements.
Basic team composition:
- A business solution consultant
- An ML solution architect
2
Initial data analysis
We carry out an exploratory analysis of the available data sources, both owned by the customer and from public databases, required to implement the project. After that, we conduct data cleansing, assist with data imputation or dimension reduction, design a data pre-processing pipeline, and guide data analysis flow creation.
Basic team composition:
- An ML solution architect
- A data scientist/ML engineer
3
ML solution design
In line with the elicited business needs, we design the architecture of the ML solution, define an implementation strategy, suggest optimal AI techniques, machine learning algorithms, and draw up a tech stack that can include both open-source and licensed software. If we need to deliver a PoC, we also outline its scope and optimal approach. Additionally, we define the timeline and budget for the project.
Basic team composition:
- A business solution consultant
- An ML solution architect
4
Building the ML solution
Our software engineers perform data pre-processing, including data cleansing, annotation and transformation. Then the team defines ML solution evaluation criteria and trains the model with supervised, unsupervised and reinforcement approaches. To achieve the desired output, our programmers can build an ensemble of models while ensuring ML solution’s security and compliance.
Basic team composition:
- A data/machine learning engineer
- A project manager
- A business analyst
- A QA engineer
5
Integration and deployment
We identify a suitable deployment environment and create the strategy to integrate the ML solution into the business software and go live. After we make sure the ML solution adheres to testing guidelines, we deploy it to the production environment and ensure the ML model’s scalability, proper performance, and security.
Basic team composition:
- An MLOps
- A data/ML engineer
- A project manager
- A QA engineer
6
ML support
We monitor the model's performance and can improve the accuracy of ML output by retraining the solution using new data from the production environment with the customer’s approval, all without interrupting the solution’s operation. We also conduct user training and support, create tutorials, and an optimization strategy on request.
Basic team composition:
- A support engineer
- A project manager
Machine learning solutions across industries
- Predicting product demand and retail trends
- Targeted advertising, dynamic pricing, and promotions tailored to customers’ needs
- Anticipatory shipping and smart route planning
- Anomaly detection and intelligent video surveillance
We can do more
Hire machine learning experts from Itransition
Machine learning solutions for real-world use cases
Building solutions that enable computers to process, analyze, and make sense out of visual data - images and videos - to trigger an action or a set of actions.
Customer tracking
Itransition’s team creates solutions that process video streams in real time to detect humans, count them, analyze customer behavior within a store, detect suspicious behavior, etc.
Quality control
We help implement automated visual quality control of production processes and assembly lines to eliminate error-prone manual inspection processes, increase speed and accuracy, and facilitate objectiveness and scalability.
Medical image analysis
We create solutions for scanning X-rays, computed tomography scans, ultrasound, mammograms, and magnetic resonance imaging to identify abnormalities not visible to the human eye, make a diagnosis, rate disease progression and treatment response.
Related services
Data science
A full range of data science services to help you derive valuable insights from business data and use them to address the most pressing business challenges.
Artificial intelligence
AI solutions and services to help businesses drive automation across the enterprise, improve product and service quality, enhance customer experience, and solve non-trivial business problems with advanced technology.
Predictive analytics
ML-powered analytics solutions for predicting and identifying market trends, forecasting risks, predicting customer behavior and product demand, and automating decision-making.
Big data
Big data solutions to collect and use large volumes of multi-structured data to help businesses find hidden patterns, drill down into the root causes of problems, and better understand customers.
RPA
ML solutions that assist or substitute employees in routine and demanding activities to drive accuracy and productivity, cut operational costs, and better allocate human resources.
Have ideas about your future ML solution?
Machine learning technologies we use
- Python
- R
- C++
- Java/Kotlin
