Retail
We help develop retail-oriented software to analyze social media sentiment, optimize marketing initiatives, improve customer relationship management, and implement dynamic pricing.
Artificial intelligence consulting
AI consulting services we provide
Itransition’s team of experts is ready to guide you through any step of the artificial intelligence implementation lifecycle.
Business analysis
- Identification of business needs
- Selection of a suitable AI use case
- Definition of the project's scope
Initial data analysis
- Formulation of dataset requirements
- Advising on data sources selection
- Assessment of data quality
- Advising on data analysis and cleaning
- Assistance with data imputation or dimension reduction
- Design of a data pre-processing pipeline
- Guidance on the creation of a data analysis flow
Product design
- Advising on AI techniques and algorithms choices
- Selecting a suitable tech stack
- Preparing the AI solution’s architecture
- UX/UI design guidance and evaluation
- Detailing the project’s objectives, deliverables, and timeframe
- Help with development stages formulation (PoC, MVP, main releases)
- Creation of solution testing strategies
- Advising on AI model performance assessment
- Definition of the project's scope
Building the AI solution
- Monitoring of data preprocessing activities
- Guidance on effective AI model training
- Monitoring the solution’s development progress
- Control over AI implementation guidelines adherence
- Strategizing AI model’s security and compliance
Model integration and deployment
- Identification of suitable deployment environments
- Creation of an AI deployment strategy
- Guidance on AI integration with business software
- Assistance with AI model scalability in the target environment
- Ensurance of AI model’s proper performance and security
- Control over the adherence to AI integration and testing guidelines
Support
- Establishment of a maintenance plan
- Establishment of AI model performance monitoring and issue detection
- Advising on the necessity of AI model retraining
- Creation of a continuous improvement strategy
- User training and support provision
Embrace innovation with Itransition’s AI consulting services
About Itransition
5+ years of experience in building AI-powered solutions
25+ years of delivering IT consulting and software development services
Certified partners of Microsoft and AWS
A large portfolio of successful AI projects
Strict adherence to HIPAA, GDPR, and other standards and regulations
Awards and recognitions from Deloitte, Gartner, Forrester, and Clutch
Client spotlight
2.5x
higher productivity
AI-powered shoppable video platform
We helped revamp AiBUY’s solution with AI, automating product selection with neural network-based product recognition features and dramatically changing the flow of business and ecommerce platform interaction. The resulting solution ensures an interactive and non-intrusive customer experience and reshapes the way consumers connect to brands.
+8%
visitor-to-buyer conversion
Fashion retail recommendation system
Itransition’s team helped craft a highly personalized customer journey by delivering AI-driven capabilities that process ecommerce data and forecast buyer conversion rates. The final solution includes a recommendation engine that leverages collaborative filtering to target users with customized suggestions based on past purchases, interactions, and other metrics.
Our scope of AI-related technologies
We master a full spectrum of AI-related tools and technologies, which we can combine to deliver solutions matching your business objectives and technical requirements.
Machine learning
Itransition is well-versed with ML systems relying on supervised, unsupervised, and reinforcement learning algorithms that can spot patterns or anomalies among the datasets they process and extract actionable insights.
Data science
Our data scientists will help you turn raw data into business insights, including data source selection, data engineering via ETL/ELT pipelines, data warehousing, and ML modeling.
Big data
Our expertise includes big data solutions that enable organizations across industries to extract business-relevant knowledge from their structured and unstructured datasets and relevant external sources.
RPA
Itransition’s experts will help you with the creation of robotic process automation solutions with AI-based capabilities to assist your workforce in various tasks, streamline business processes, and ensure higher employee satisfaction.
Selected AI applications we’ve worked with
Itransition’s consultants can help you implement AI-enabled solutions designed to process visual content, understand human language, and sift through big data for clues or insights.
Itransition’s team is well-versed with AI-based systems that capture visual inputs from the physical world, interpret them, and trigger proper reactions from software or machines. The selected computer vision use cases include:
- Medical image analysis tools
- Video surveillance systems
- Smart inventory management software
- Visual inspection solutions
Natural language processing
Our AI expertise includes NLP-based software that can derive insights from text and audio, enable realistic interactions, and automate clerical tasks. The selected computer vision use cases include:
- Conversational AI tools
- Spam filtering engines
- Sentiment analysis solutions
- Cognitive automation solutions
Data mining
Our scope of AI services includes high-performance solutions that aggregate and examine large volumes of data, unveiling patterns and anomalies. The selected computer vision use cases include:
- Predictive analytics software
- Anomaly detection tools
- Recommendation systems
- Marketing analytics solutions
Looking for an AI consulting partner?
Industry-specific AI solutions
Itransition’s consultants will help you identify the most suitable AI use cases based on your industry and business scenario and calculate the potential return on investment.
We help educational institutions deliver apps integrating adaptive learning functionalities, elearning chatbots, virtual reality features, and tools for real-time translation and transcription of educational content.
We assist financial institutions with AI-powered systems to enhance wealth management, forecast stock market trends, and protect sensitive data assets via advanced cybersecurity.
We aid companies with engineering software solutions for assisted driving, smart parking, driver assistant tools, and automatic plate recognition.
We help create automotive-specific systems encompassing ADAS, IoT-based remote vehicle diagnostics, and predictive equipment maintenance.
Healthcare
We assist healthcare service providers with adopting AI-based tools for radiology and medical imaging, advanced diagnostics and syndrome prediction, virtual nursing, and smart hospital management.
Agriculture
We deliver solutions for the agriculture sector, enabling ML-based crop management, accurate weed and disease detection and optimized irrigation and fertilizer use.
Manufacturing
We help manufacturers implement advanced software to perform predictive maintenance, automate product assembly lines, and improve quality assurance.
Real estate
We help deliver AI systems for real estate valuation and pricing, smart portfolio management, VR-based virtual tours, lease contract processing, and tax reporting automation.
Itransition’s approach to AI consulting
We thoroughly approach artificial intelligence consulting to ensure the project’s success and avoid any implementation missteps.
Data quality and availability
Our experts will evaluate your corporate data quality and availability. In case these datasets are not up to par with your future AI solution, Itransition will guide you through reorganizing and cleaning them to ensure their reliability.
Regulatory compliance
We help to develop AI solutions in strict compliance with ethical standards and international regulations, including GDPR, HIPAA, and others. These rules are a part of our corporate policies.
Algorithm explainability and accuracy
The black-box nature of AI is still an unresolved issue for the professional community. However, we ensure careful data preparation, bias-free model training, as well as transparent technical specifications to make your AI solution reliable and auditable.
Staff and stakeholder buy-in
Itransition can help your workforce get acquainted with a new AI solution easier through demoing, user training, and ongoing support. We can also draw up a progressive adoption plan for your stakeholders that combines incremental achievements and a more secure rollout.
Benefits of working with AI consultants
Targeted investment
Our AI experts will help you identify the most profitable artificial intelligence use cases to invest in, along with the most suitable tech stack to build your future solution.
Optimized project planning
A team of AI consultants can expertly define an optimal development and adoption roadmap, including timeline, budgeting, team composition, and iterations.
Faster deployment
By complementing your in-house expertise with external consultants, you'll be able to launch your AI project faster and speed up rollout without hiring and training new talent.
Risk mitigation
Supported by an AI consulting firm, you’ll minimize the technical and business-related risks of AI adoption, such as data bias, ML model drift, low accuracy, or non-compliance.
Complementary AI development services
We offer dedicated AI development services to realize AI implementation projects from the ground up.
- Setup of the ETL/ELT pipeline
- Data cleansing, annotation, and transformation
- Data security setup
- AI algorithm selection
- AI model training
- Software integration
- Data visualization setup
- Production environment deployment
- Quality assurance activities
- Post-launch support
AI consulting FAQs
What do AI consultants do?
AI consultants offer their holistic expertise to manage artificial intelligence projects and coordinate teams of qualified professionals. They will help you define an AI strategy and design, develop, and implement cutting-edge solutions to address your requirements.
How much does an AI solution cost?
Given the gamut of scenarios and technologies involved, the budget can vary widely. The main cost factors include data types, volume, and quality, along with accuracy requirements, software infrastructure, tech stack, product licensing, deployment model, and maintenance.
What is the team composition of an AI project?
The list of experts and professionals involved typically includes a project manager, business analysts, data scientists and data engineers, ML engineers, UI/UX designers, front-end and back-end developers, QA engineers, DevOps engineers, and support engineers.
How to speed up AI model training and implementation?
We rely on an extensive tech stack of cloud-based tools and platforms that provide built-in algorithms, pre-trained AI models, and highly scalable computing resources. These include Amazon SageMaker, Azure Machine Learning, Google AI Platform, and more.
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Computer vision in manufacturing: 9 use cases, examples, and best practices
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