AI services and solutions
At Itransition, you will find the expertise to carry out an end-to-end AI consulting or development project and shape your ideas into ready-to-go solutions. We assist you throughout the entire AI implementation lifecycle, from the early assessment phase to deployment and beyond.
TABLE OF CONTENTS
Capabilities we build
5+ years of experience in delivering AI-driven solutions
25+ years of providing IT consulting and development services
Long-standing partners of Microsoft and AWS
A vast portfolio of successful AI projects
Strict compliance with HIPAA, GDPR, and other regulations
Awards and recognitions from Deloitte, Gartner, and Forrester
VisibilityTo make outsourcing engagement transparent both for clients and developers, we leverage planning, reporting and change management tools. This approach allows you to control project timeline and budget.
Tailored approachDepending on the unique project objectives, we suggest the most efficient cooperation model and development methodology and ramp up the team of experts with relevant experience.
AvailabilityWith headquarters located in the USA, representative offices in Europe, and Asia, we adapt easily to your timetable. Regardless of location, we guarantee brisk responsiveness through multiple communication channels.
FlexibilityOur approach combines the best aspects of Lean and Scrum to foster on‑demand scalability and agility. We are ready to adapt development processes to your schedule and requirement shifts at any project stage, whilst keeping the cost of change down.
Risk mitigationOur risk management policy ensures safe and predictable relationships providing a set of practices for identification and elimination of software risks before they become threats to successful software operation or a major source of expensive rework.
Our AI services
We offer AI services to help our clients implement future-proof AI solutions into businesses’ digital ecosystems to improve customer experience, drive sales, support marketing initiatives, and streamline workflows. Take a look at some case studies from our portfolio of AI-focused projects.
AI-based shoppable video platform
Itransition’s team enhanced an ecommerce platform with AI-powered interactive features that detect specific products in online videos and highlight them via image overlays, enabling users to make purchases directly from the content they’re watching.
Fashion retail recommendation engine
Our developers delivered an ecommerce-oriented BI platform to analyze customer behavior data. The solution features an AI-powered recommendation system providing personalized suggestions based on users’ purchases, clicks, and other parameters.
AI-related technologies we use
Our developers' expertise encompasses a wide array of technologies that we apply to forge high-performance solutions tailored to your requirements.
We deliver ML solutions powered by supervised, unsupervised, and reinforcement learning algorithms to process data, identify patterns or anomalies, and provide insights that will boost your decision-making.
Itransition’s data scientists rely on the best tools and techniques to gather structured or unstructured data, ensure its reliability, and derive business-relevant knowledge that will drive large-scale decisions.
We help your organization to extract value from its big data assets and external sources by providing a full range of services covering data mapping, transformation, warehousing, processing, and visualization.
Itransition develops AI-enhanced robotic process automation solutions that function as smart assistants with advanced cognitive capabilities to support employees in performing time-consuming activities.
Key areas of AI application
Infused with AI capabilities, Itransition’s solutions can analyze visual content, mimic human communication, and dig into huge datasets to unearth valuable information.
Our experts build AI-driven systems to process visual inputs and identify objects or persons with superior speed and accuracy.
Medical image analysis
We deliver software designed to examine radiological images, body scans, or other sources and enable more accurate diagnoses.
We develop retail-oriented solutions that scan barcodes, monitor what customers pick, and update inventory levels to help keep stocks replenished.
We create solutions that can spot intruders or shoplifters in action based on their anomalous behavioral patterns, fostering security.
We deploy computer vision tools to detect product defects or equipment failure, facilitating quality control and asset maintenance.
AI use cases by industry
Here is a variety of industry-specific AI solutions designed to address the challenges and complexities of different operational scenarios.
Our ecommerce project roadmap
AI tools and frameworks we use
Drawing on our extensive knowledge of the major AI-oriented tools, platforms, and services on the market, we select a suitable tech stack to deliver impactful solutions.
AI use cases: 3 rules to find the right one for your business
One of the main barriers to AI adoption is identifying the right AI use cases. Find out the best practices to make it less challenging.
AI in sports: current trends and future challenges
The role of AI in sports is growing rapidly. Find out how this technology can be leveraged and what challenges its implementation will entail.
AI in the workplace: ally or disruptor?
Learn about the effects of AI in the workplace, how it's reshaping our jobs and careers, and what challenges may arise from its implementation.
NLP in healthcare: fostering medical digitalization
NLP in healthcare provides a wide array of tools to assist medical professionals and improve patient experience. How? Let's find out.
Retail automation—a new survival kit?
Find out why retail automation is now a must-have and analyze your business potential for automation.
Machine learning statistics
Itransition presents the ultimate list of machine learning statistics: market data, ML adoption by industries, economic impact, investments, and other facts.
Computer vision in manufacturing:
9 use cases, examples, and best practices
Learn how to leverage computer vision in manufacturing and explore its use cases, adoption challenges, and implementation guidelines.
A guide to predictive analytics in finance
Learn how financial institutions can apply predictive analytics in finance to minimize risks, decrease operational costs, and improve their bottom lines.