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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 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 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 solutions 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 provide banks and other financial institutions with AI and ML software to 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 ML functionality 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
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 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.
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 capabilities.
Data science
Our data scientists can help you collect, prepare, store, and process high-quality data sets to identify patterns or anomalies, deriving meaningful insights into current and future trends to drive your business decisions.
Big data
We create highly scalable data management and analytics solutions designed to effectively handle large volumes of structured and unstructured data and extract valuable knowledge from them.
Looking for an AI development partner?
Our AI development tools
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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. We also implement off-the-shelf AI tools and deliver full-fledged custom AI solutions, including enterprise AI apps and AI software products, and ensure their seamless integration with the client’s software ecosystems. Our AI team also enhances existing AI solutions to ensure their high performance and consistent accuracy of the underlying neural network’s outputs.
The investment for building an average AI app can range significantly, from $10,000-$20,000 for basic tools to $200,000-$350,000 for cutting-edge, enterprise-oriented solutions with unique interfaces. Major factors 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, software architects, UX/UI designers, front-end and back-end programmers, and QA engineers.
Recent advancements in AI help software engineers streamline development workflows and improve code quality, and ultimately the quality of the final product. Specialized AI-powered tools like Github Copilot help developers 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 AI tools in place, development teams can significantly increase their productivity and focus on more complex and creative tasks rather than writing routine boilerplate code.
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