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We deliver AI-powered solutions to help companies make more informed decisions, maximize operational efficiency, and streamline communications with customers and partners.
Handle complex tasks, such as customer order processing or applicant screening, with minimal human supervision, to automate and streamline your business processes and improve operational efficiency.
Provide consumers and business users with relevant information and timely support 24/7, ensuring better customer experiences and superior employee productivity.
Analyze visual data from digital sources or real-world environments, deriving valuable insights for better decision-making or enabling advanced process automation.
Generate text, code, visuals, or other types of content in real time using advanced neural networks, minimizing manual effort for administrative and creative tasks.
Forecast sales performance, price fluctuations, customer behavior, and other future trends or outcomes to adjust your business strategies accordingly.
Mimic human communication, analyze textual or audio data, and generate, summarize, or translate content, to foster user engagement, support informed business decisions, and speed up routine tasks.
Over the course of our collaboration with Itransition, we were consistently impressed with both the skill and dedication their team employed to fulfil our business needs. Itransition’s involvement extended beyond the technical realisation 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.
We highly recommend their services to software product vendors in need of AI-related innovation and process consultancy. They offer a unique blend of expertise and experience, delivering innovative software solutions while speeding up to market & optimizing ROI cycles.
With experience across 20+ verticals, we can build software solutions with custom functionality tailored to industry-specific AI use cases, quality standards, and regulations.
Strategic review
Reviewing your business processes to identify inefficiencies and optimization opportunities
Eliciting your business goals
Assessing AI relevance for achieving your business objectives
AI strategy development
Creating an AI strategy aligned with your business goals
Defining clear software objectives to guide design and development decisions
Establishing KPIs and metrics to measure AI effectiveness
Solution design
Assessing the quality of available data assets
Designing the solution's architecture, creating prototypes, and planning software integrations
Defining the project scope, stages, budget, and timeline
Development & delivery
Developing the solution and integrating it into the existing environment
Deploying the solution to production
Carrying out continuous testing and incorporation of user and stakeholder feedback
Adoption & support
Integrating the solution into your business processes
Providing guidance and training on AI enablement across business functions
Tracking the solution’s KPIs to assess AI effectiveness and guide improvements
Providing IT services since 1998
5+ years of experience in AI development and consulting
Centralized artificial intelligence expertise through our dedicated AI/ML Center of Excellence
Long-standing partnerships with Microsoft and AWS
Quality and information security management compliant with ISO 9001 and ISO 27001
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
Itransition’s consultants assist you throughout key stages of your AI journey, including AI strategy definition, AI use case identification, AI readiness assessment, and AI incorporation, to make sure the resulting AI system fully aligns with your unique requirements and is properly integrated into your business workflows.
Our specialists deliver scalable, high-performing AI-driven solutions designed to support your strategic objectives and meet the highest engineering standards, taking care of data preparation and AI model training, front-end and back-end development, and software integration via APIs or other options.
We build AI solutions in line with the principles of fairness and explainability. For instance, we train AI models with diverse and representative data sets to prevent bias, or assess model output against selected performance metrics to identify potential reasons for inaccuracies.
Our team follows the MLOps practices, including automated ML model training and deployment, version control, and continuous model monitoring to speed up time to market, make the training process reproducible and auditable, and perform timely troubleshooting.
Our AI experts develop applications in strict compliance with applicable data management standards and regulations, such as the GDPR and ISO/IEC 27001. This also involves equipping your solution with robust cybersecurity mechanisms like IAM and data encryption to mitigate exposure to risks.
We follow data governance best practices throughout the AI lifecycle, such as performing continuous data validation and using data lineage tools, to provide end-to-end visibility into data flows and transformations, ensuring your data remains accurate, consistent, and fully auditable.
AI services are advanced solutions that help companies integrate artificial intelligence technology into
their business operations, even with limited in-house IT resources. These include AI open-source or
proprietary platforms offering pre-trained models and other tools to speed up AI software development, along
with ready-to-use solutions providing access to AI capabilities such as advanced analytics with minimal
upfront investment.
This term can also refer to AI development and consulting services provided by AI companies and individual developers
to help organizations design, build, and adopt AI software or scale AI projects already in operation.
The AI product budget valuation typically ranges from $10,000-$20,000 for entry-level apps and tools to $100,000-$250,000 for large-scale enterprise AI solutions with unique interfaces and advanced capabilities. Key cost factors include AI model accuracy and other functional and non-functional requirements, the availability of pretrained models, and data management infrastructure costs, including hosting platforms and data centers.
The location of the development team also has a great impact on the AI project cost, with specialists from the USA (New York, San Francisco, etc.) having rates on the higher end, while tech companies from Eastern Europe offering highly skilled AI developers at more competitive rates, making it a popular choice for AI startups and companies looking to balance expertise with cost-efficiency.
Consult our team of specialists for a more accurate estimate of required AI investments based on your specific needs.
Your company’s readiness for artificial intelligence-driven digital transformation depends on multiple factors, including your technology infrastructure, in-house expertise, and available data assets. Our consultants can help you assess your readiness for AI innovations and provide recommendations for its advancement, including hardware upgrades and workforce upskilling programs.
Drawing on our extensive knowledge of the leading AI tools, platforms, and services on the market, we select the most suitable full-stack toolkit to deliver AI solutions that integrate seamlessly into your IT environment while optimizing development costs. Key technologies we leverage include:
We also closely keep track of AI research and breakthroughs on the market and make sure to include relevant emerging technologies and SaaS platforms into our clients’ tech stacks where relevant to deliver future-proof solutions.
There are several companies spearheading the innovation across the AI services landscape. For instance, NVIDIA develops advanced AI computing and GPU solutions that accelerate deep learning, while IBM prioritizes enterprise AI solutions and explainable AI (XAI). Other notable companies include Meta that advanced large language model research through Gemini and Anthropic that builds safe, predictable AI models for complex workflows. In the meantime, Adobe leads the development of creative applications and AI-powered generation tools, while Alphabet heavily focuses on cutting-edge AI research and cloud AI services. Together, these companies shape the tools and practices that define modern AI services.
Service
Machine learning consulting and development services from certified ML experts with a proven track record of delivering scalable ML-powered solutions.
Case study
Learn how Itransition developed an AI-powered Microsoft Cloud for Healthcare add-on for healthcare companies to streamline clinical encounter documentation.
Insights
Find out how supervised and unsupervised learning work, along with their differences, use cases, algorithms, pros and cons, and selection factors.
Case study
We developed and trained an AI model that predicts insurance application conversion, helping the customer select targeted user price policies and discounts.
Insights
Itransition presents an up-to-date list of ML statistics covering adoption trends and challenges, economic impact, current investments, and the job market.
Case study
Learn how we developed a PoC for an ML plant pathology recognition solution, helping the customer attract investments and partner with scientific institutes.
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