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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.
Transform visual data from cameras into actionable business insights, enabling automated quality control, real-world environment monitoring, and safety oversight.
Automate content creation, including text, code, and images generation, using advanced neural networks, to reduce manual effort on administrative tasks and focus on high-value activities.
Forecast sales performance, price fluctuations, customer behavior, and other future trends or outcomes to adjust your business strategies accordingly.
Enable human-like communication with text-to-speech, perform sentiment analysis based on textual or audio data, and generate, summarize, or translate content to foster user engagement, support informed business decisions, and speed up routine tasks.
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
Our team reviews your business processes to identify inefficiencies and optimization opportunities, elicits your business goals, and assesses the feasibility of AI for achieving your business objectives.
AI strategy development
We develop an AI strategy that aligns with your specific business objectives. This stage also involves defining requirements for software design and development, selecting the right tech stack, and establishing clear KPIs to measure solution ROI.
Solution design
Our specialists assess the quality of available data assets, design the solution's architecture, create prototypes, plan software integrations, and define the project’s scope, stages, budget, and timeline.
Development & delivery
We perform data labeling, train AI models, develop and integrate the solution with the existing environment through APIs and middleware, deploy the solution to production, while carrying out continuous software testing and incorporating user and stakeholder feedback.
Adoption & support
Our team ensures seamless operation of the solution post-launch, provides guidance and training on AI enablement across business functions, and tracks 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 prioritize AI solutions’ fairness, transparency, and explainability. Our team mitigates bias by using diverse datasets to train AI models, as well as implements AI governance policies and solutions and performs rigorous performance assessments to ensure every AI-driven decision is accurate and auditable.
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.
To ensure data integrity, we enable thorough data governance throughout the Al lifecycle. By performing continuous data validation and using data lineage tools, we guarantee that your corporate data remains accurate, consistent, secure, 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 open-source AI platforms
offering pre-trained models and other tools to speed up AI software development, along with ready-to-use
solutions and AI-as-a-service (AIaaS) offerings delivered through cloud services.
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.
Typically, the cost of implementing AI solutions ranges from $10,000-$20,000 for basic pilots to over $250,000 for complex enterprise systems with unique interfaces and advanced capabilities. Key factors influencing the price include AI model accuracy requirements, AI infrastructure costs, training data volume, quality, and availability, and integration complexity.
The location of the software engineering team also has a great impact on the AI project’s cost. Specialists from the USA have rates on the higher end, while tech companies from Eastern Europe offer highly skilled AI engineers at more competitive rates, making it a popular choice for 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.
To determine your company’s readiness for artificial intelligence-driven digital transformation, assess whether you have the three foundational elements in place: a robust technical infrastructure, specialized expertise, and high-quality data assets. Our consultants can conduct a comprehensive AI readiness assessment and provide recommendations to bridge any gaps that can hinder AI adoption, 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
Itransition developed an AI-powered add-on for Microsoft Cloud for Healthcare to streamline patient encounters and provide better quality 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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