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AI software development
services & solutions we build
Our AI software development expertise
AI agents
Our experts build autonomous AI agents to plan and carry out complex, multi-step tasks involving other systems with minimal human intervention, reducing user workload and speeding up business processes.
Recommendation engines
Our team develops powerful engines providing users with tailored product, service, or content suggestions based on user behavior and personal information to help customers find the right product faster, ensure a highly personalized customer experience, and drive sales.
Chatbots & AI assistants
Our specialists create conversational AI tools for employee or customer support that provide users with relevant responses in natural language and assist them in a wide range of tasks 24/7, ensuring more convenient user experiences while mitigating operational costs.
Computer vision systems
We develop AI solutions that capture and interpret visual inputs from multimedia content or real-world scenarios to trigger certain actions for process automation and gather valuable data for better decision-making.
Natural language processing software
We build software applications with NLP capabilities to analyze and interpret textual or audio data, replicate human communication for seamless user interactions, and generate, summarize, or translate content in real time.
Generative AI solutions
Our team delivers GenAI solutions powered by large language models that enable users to quickly generate textual content, visuals, and code, freeing them from time-consuming routine tasks.
Analytics solutions
We create AI-powered analytics software, including predictive analytics apps, that help stakeholders shed light on their performance, current business trends and scenarios, or future outcomes based on historical and real-time data streams for more informed decision-making and problem-solving.
Intelligent RPA bots
Our developers build robotic process automation solutions augmented with artificial intelligence and machine learning models, enabling businesses to automate more complex tasks.
Our AI software development lifecycle
1
Business analysis
Objectives & KPIs elicitation
Analysis of corporate workflows and tech environment
Outline of the software’s functional and non-functional requirements
2
Data audit
Exploratory analysis of available data sources
Data quality and structure assessment
Data management strategy development
3
Solution design & implementation planning
AI software architecture design
AI system integration planning
Tech stack selection, including custom or pre-trained AI models
Project’s scope, timeline, deliverables, and budget definition
4
Development
Training data preprocessing (cleansing, annotation, transformation, etc.)
AI model training and quality assessment
Solution development, including on-demand MVP delivery, and integration with existing systems
End-to-end quality assurance
5
Pilot optimization & solution rollout
Solution deployment to production and providing limited access to a pilot group of users
User feedback collection and solution improvement based on it
Making the solution available for all users
6
Support & maintenance
Solution performance and model drift monitoring
End-user feedback collection, analysis, and incorporation
Technology updates
AI capabilities for different industries & use cases
Healthcare
Our experts deliver AI platforms to help healthcare companies achieve better medical outcomes, facilitate efficient care administration, and improve patient engagement and satisfaction.
- Treatment plan personalization
- Healthcare data analysis and insights extraction
- Text/voice assistants for routine tasks automation
Fintech
We deliver AI and ML software for banks and other financial services providers to help them optimize investments while mitigating business risk.
- Financial fraud detection
- Underwriter's decision making support
Retail
We equip brick-and-mortar retail and ecommerce businesses with AI and ML solutions to automate operational processes, offer personalized shopping experiences, prevent stock-outs or overstock, and drive sales.
- Product recommendation engines
- Dynamic product pricing
- Virtual shopping assistants
- Efficient inventory management automation
Real estate
Our team delivers software products equipped with AI and machine learning algorithms to help real estate companies identify the best investment opportunities, quickly connect owners and buyers, and manage properties more effectively.
- Automated property appraisal
- Automation of document flow
- Customer segmentation for targeted property ads
- Automated tenant screening
Manufacturing
Our AI and ML solutions help manufacturers deliver better products and maximize production efficiency and continuity.
- Generative product design
- Demand forecasting for production planning
- Defect detection for product quality control
- Equipment monitoring and predictive maintenance
- AI agents for automating time-consuming operational tasks
Transportation & logistics
We develop AI and ML solutions that enable transportation and logistics companies to streamline operations across the supply chain and ensure on-time deliveries.
- CO2 emission analysis and optimization
- Dynamic route optimization
- Transport document flow automatization
- Vehicle predictive maintenance
Education
Our specialists build software solutions that deliver personalized student experiences, help students improve their learning outcomes, and handle teachers’ administrative tasks.
- Learning assistants
- Learning path personalization
- Student assignments review
- Virtual assistants for students with special needs
Software & hi-tech
We deliver AI-driven coding tools and other solutions to help software engineers speed up the development process via AI-generated code and ensure top codebase quality while improving the developer experience.
- Coding assistants for code completion and code generation
- Code change impact prediction
- Code review and debugging
- Cybersecurity tools for vulnerability detection
Team up with Itransition to build your AI solution
About Itransition
Providing IT services since 1998
5+ years of experience in AI development
An in-house AI/ML Center of Excellence
Strategic partnerships with Microsoft and AWS
Established DevOps practices
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
Delivering solutions adhering to GDPR, HIPAA, PCI DSS, and other data management standards and regulations
Multiple engagement models: full project outsourcing, dedicated teams, and staff augmentation
ML-enabled brand analytics solution
We provided an event sponsorship valuation company with a brand recognition solution that identifies logos in sports-related pictures and generates reports detailing logo size, quantity, and location. This helps sporting event organizers and marketing agencies analyze brand performance to fine-tune their advertising campaigns.
AI-powered shoppable video platform
Our team of specialists enhanced an ecommerce platform with image recognition capabilities powered by AI technology. The system detects products in online videos, searches for the closest matching items across affiliate networks’ catalogs, and enables viewers to purchase them directly, boosting user engagement and driving sales.
AI-based fashion retail platform
We developed an ecommerce-specific BI platform featuring near-real-time data collection and analysis capabilities, custom dashboards, and a recommender system that provides customers with personalized suggestions based on past purchases and other metrics. The solution leverages computer vision to detect key product attributes, look for similar items, and make more relevant recommendations for maximum conversion.
Looking for an AI development partner?
AI-related technologies we master
Machine learning
We build ML systems powered by algorithms that learn autonomously and perform complex tasks, ensuring advanced automation and analytics functionality.
Big data
We create data management and analytics solutions designed for on-demand scalability that effectively handle large volumes of structured and unstructured data and extract valuable knowledge from them.
Data science
Our data scientists can help you set up data architectures, data pipelines, and ETL/ELT processes to collect, prepare, store, and process high-quality data sets and use them to identify patterns or anomalies, deriving meaningful insights into current and future trends to drive your business decisions.
Our AI development tools
Programming languages | Python R C++ JavaScript |
|---|---|
Deep learning frameworks | TensorFlow PyTorch Transformers |
Generative AI SAAS | Azure OpenAI Amazon Bedrock Stability AI NVIDIA Avatar Cloud Engine Midjourney |
NLP technologies | LLM: Falcon, Llama, Hermes, GPT NLTK/SpaCy BERT/RoBERTa Transformers Torchtext KerasNLP Langchain LangGraph |
Computer vision technologies | Stable Diffusion XL OpenCV/PIL Ultralitics YOLOX Transformers Torchvision KerasCV |
Data mining technologies | NumPy Pandas Scikit-Learn Catboost/XGBoost/LightGBM ARIMA/SARIMA Facebook Prophet LSTM |
Cloud providers | AWS Microsoft Azure Google Cloud Platform Hugging Face |
Working environment | SageMaker VertexAI Azure Machine Learning Jupyter Notebook MLflow Weights & Biases |
Visualization & presentation tools | Streamlit Gradio Matplotlib Seaborn Plotly |
FAQs
Itransition provides a full scope of AI and ML services, from AI consulting services to ML model development and training, AI app development, and AI software support.
Our consulting experts
help companies assess their AI readiness, develop an AI strategy aligned with their business goals, and create
prototypes and proof-of-concept (PoC) solutions to validate the feasibility of AI implementation.As part of our
AI development services, we implement off-the-shelf and custom AI solutions, integrating them with the client’s
software ecosystems using pre-built APIs or creating custom connectors. We deliver web apps and mobile applications
for iOS and Android, equipped with AI features and essential data encryption and user authentication mechanisms.
Besides product development, our AI experts also perform the adaptation of existing AI-powered apps and
systems to companies’ evolving business needs and validate the accuracy of the underlying neural network’s
outputs. Last but not least, we adhere to responsible AI principles in all our projects, ensuring AI models’
fairness and explainability.
The investment for AI application development can range significantly, from $10,000-$20,000 for basic tools to $200,000-$350,000 for cutting-edge, enterprise AI solutions with unique interfaces. Fundamental aspects that impact the final cost include:
- AI model accuracy and performance requirements
- The availability of pretrained models
- Data management system implementation costs for ETL pipelines, data repositories, etc.
- Hosting infrastructure (on-premises, cloud, or hybrid environments)
- Functional and non-functional requirements complexity
Our AI consultants can provide a more accurate estimate based on your specific business needs and suggest different options to optimize your budget, such as using suitable open-source tools for your tech stack.
Depending on the complexity, scope, and number of coding tasks within your AI initiative, project teams include AI engineers, AI analysts, product managers, MLOps specialists, project managers, mobile app and web development engineers, data engineers, UX/UI designers, front-end and back-end programmers, and QA engineers.
Recent advancements in AI help software engineers streamline custom software development workflows and improve code quality, and ultimately the quality of the final product. With leading AI software development companies delivering useful tools like Github Copilot, Gemini, and similar AI-powered IDE assistants, developers can write code faster through suggestion of code snippets and prediction and autocompletion of the next lines of code. Beyond that, AI-powered tools assist in creating test cases and running automated tests, suggest code fragments for refactoring, and help identify performance issues and structural bottlenecks in the codebase. With the abovementioned tools in place, teams handling AI coding can significantly increase their productivity and focus on more complex and creative tasks rather than writing routine boilerplate code.
Related cases
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Artificial intelligence services & solutions
Itransition offers full-cycle artificial intelligence services to help companies build and scale powerful AI solutions tailored to their business needs.
Case study
AI answer engine for doctors and patients
Learn how we delivered a PoC of an OpenAI-based web application that answers medical questions interacting with the Davinci AI model.
Service
Machine learning development services & solutions
Powerful machine learning solutions to automate complex business processes and enable data-driven decision-making from a machine learning development company.
Service
AI consulting services & expertise
Rely on Itransition`s AI consulting services to maximize business value from AI adoption and streamline the artificial intelligence project implementation.
Case study
Custom ML algorithms for an insurance platform
We developed and trained an AI model that predicts insurance application conversion, helping the customer select targeted user price policies and discounts.
Insights
Machine learning statistics
Itransition presents an up-to-date list of ML statistics covering adoption trends and challenges, economic impact, current investments, and the job market.
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