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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.
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.
Our specialists create conversational AI tools for customer service or employee 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.
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.
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.
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.
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 data and real-time data streams for more informed decision-making and problem-solving.
Our developers build robotic process automation solutions augmented with artificial intelligence and machine learning models, enabling businesses to automate more complex tasks.
Business analysis
Objectives & KPIs elicitation
Analysis of corporate workflows and tech environment
Outline of the software’s functional and non-functional requirements
Data audit
Exploratory analysis of available data sources
Data quality and structure assessment
Data management strategy development
Solution design & implementation planning
AI software architecture design
AI solution integration planning
Tech stack selection, including custom or pre-trained AI models
Project’s scope, timeline, deliverables, and budget definition
Development
Training data preprocessing (cleansing, annotation, transformation, etc.)
AI model training and quality assessment
Solution development and integration
End-to-end quality assurance
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
Support & maintenance
Solution performance and model drift monitoring
End-user feedback collection, analysis, and incorporation
Technology updates
Our experts use AI solutions to help healthcare companies achieve better medical outcomes, facilitate efficient care administration, and improve patient engagement and satisfaction.
We provide banks and other financial institutions with AI and ML software to optimize investments while mitigating business risk.
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.
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.
Our AI and ML solutions help manufacturers deliver better products and maximize production efficiency and continuity.
We develop AI and ML solutions that enable transportation and logistics companies to streamline operations across the supply chain and ensure on-time deliveries.
Our specialists build software solutions that deliver personalized student experiences, help students improve their learning outcomes, and handle teachers’ administrative tasks.
We deliver AI-powered 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.
Providing IT servicessince 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
We build ML systems powered by algorithms that learn autonomously and perform complex tasks, ensuring advanced automation and analytics capabilities.
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.
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.
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Generative AI SAAS |
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NLP technologies |
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Computer vision technologies |
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Data mining technologies |
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Visualization & presentation tools |
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The investment for building an average AI solution 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:
Our AI consultants can provide a more accurate estimate based on your specific needs and suggest different options to optimize your budget, such as using suitable open-source tools for your tech stack.
Depending on the project’s complexity, scope, and number of coding tasks, AI software development 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.
Service
Explore our range of AI services, along with key AI use cases, related technologies, and adoption guidelines.
Case study
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 from certified ML developers and seasoned data scientists. We build well-performing and future-proof ML apps.
Service
Explore our AI consulting services, along with related technologies, use cases by industry, and implementation best practices.
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.