AI services and solutions

AI services and solutions

Why Itransition

5+ years of experience in delivering AI-driven solutions

25+ years of providing IT consulting and development services

Long-standing partners of Microsoft and AWS

A vast portfolio of successful AI projects

Strict compliance with HIPAA, GDPR, and other regulations

Awards and recognitions from Deloitte, Gartner, and Forrester

Our AI services

Combining our holistic expertise in ML, data science, RPA, and big data, we provide a comprehensive range of artificial intelligence services to help businesses integrate AI into their processes and workflows and scale it across the organization to maximize its value.

Our AI services
  • Use case identification
  • Data mapping and quality assessment
  • Existing solution audit
  • Advisory with initial project setup
  • Development process review
  • ROI analysis
  • Solution architecture design
  • Tech stack selection
  • Project budgeting
  • MVP conceptualization
  • Risk management strategy creation
  • User training and support
  • ETL/ELT pipeline setup
  • Data pre-processing (cleansing, annotation, transformation)
  • Data protection and cybersecurity elaboration
  • AI algorithm selection
  • AI model training
  • Development process review
  • Software integrations and APIs creation
  • UX/UI and data visualization setup
  • Deployment to the production environment
  • End-to-end testing
  • Post-launch support, updates and modernization

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Client spotlight

We offer AI services to help our clients implement future-proof AI solutions into businesses’ digital ecosystems to improve customer experience, drive sales, support marketing initiatives, and streamline workflows. Take a look at some case studies from our portfolio of AI-focused projects.

AI-based shoppable video platform

+25%

customer satisfaction

Itransition’s team enhanced an ecommerce platform with AI-powered interactive features that detect specific products in online videos and highlight them via image overlays, enabling users to make purchases directly from the content they’re watching.

Fashion retail recommendation engine

+8%

visitor-to-buyer conversion

Our developers delivered an ecommerce-oriented BI platform to analyze customer behavior data. The solution features an AI-powered recommendation system providing personalized suggestions based on users’ purchases, clicks, and other parameters.

ML-enabled brand analytics solution

+50%

image processing speed

Itransition provided an event sponsorship valuation company with a new brand recognition solution that identifies logos in sports-related images. This helps event organizers and marketing agencies to assess brand performance and fine-tune their ad campaigns.

Aquatic environment analysis system PoC

98%

detection accuracy

We developed a PoC system based on convolutional neural networks which detects and classifies different types of plankton among images acquired via machine vision cameras, helping scientists to analyze underwater environments and biodiversity.

AI-based shoppable video platform

+25%

customer satisfaction

Itransition’s team enhanced an ecommerce platform with AI-powered interactive features that detect specific products in online videos and highlight them via image overlays, enabling users to make purchases directly from the content they’re watching.

Fashion retail recommendation engine

+8%

visitor-to-buyer conversion

Our developers delivered an ecommerce-oriented BI platform to analyze customer behavior data. The solution features an AI-powered recommendation system providing personalized suggestions based on users’ purchases, clicks, and other parameters.

ML-enabled brand analytics solution

+50%

image processing speed

Itransition provided an event sponsorship valuation company with a new brand recognition solution that identifies logos in sports-related images. This helps event organizers and marketing agencies to assess brand performance and fine-tune their ad campaigns.

Aquatic environment analysis system PoC

98%

detection accuracy

We developed a PoC system based on convolutional neural networks which detects and classifies different types of plankton among images acquired via machine vision cameras, helping scientists to analyze underwater environments and biodiversity.

AI-based shoppable video platform

+25%

customer satisfaction

Itransition’s team enhanced an ecommerce platform with AI-powered interactive features that detect specific products in online videos and highlight them via image overlays, enabling users to make purchases directly from the content they’re watching.

Fashion retail recommendation engine

+8%

visitor-to-buyer conversion

Our developers delivered an ecommerce-oriented BI platform to analyze customer behavior data. The solution features an AI-powered recommendation system providing personalized suggestions based on users’ purchases, clicks, and other parameters.

ML-enabled brand analytics solution

+50%

image processing speed

Itransition provided an event sponsorship valuation company with a new brand recognition solution that identifies logos in sports-related images. This helps event organizers and marketing agencies to assess brand performance and fine-tune their ad campaigns.

Aquatic environment analysis system PoC

98%

detection accuracy

We developed a PoC system based on convolutional neural networks which detects and classifies different types of plankton among images acquired via machine vision cameras, helping scientists to analyze underwater environments and biodiversity.

AI-related technologies we use

Our developers' expertise encompasses a wide array of technologies that we apply to forge high-performance solutions tailored to your requirements.

Machine learning

Machine learning

We deliver ML solutions powered by supervised, unsupervised, and reinforcement learning algorithms to process data, identify patterns or anomalies, and provide insights that will boost your decision-making.

Data science

Itransition’s data scientists rely on the best tools and techniques to gather structured or unstructured data, ensure its reliability, and derive business-relevant knowledge that will drive large-scale decisions.

Big data

We help your organization to extract value from its big data assets and external sources by providing a full range of services covering data mapping, transformation, warehousing, processing, and visualization.
RPA

RPA

Itransition develops AI-enhanced robotic process automation solutions that function as smart assistants with advanced cognitive capabilities to support employees in performing time-consuming activities.

Key areas of AI application

Infused with AI capabilities, Itransition’s solutions can analyze visual content, mimic human communication, and dig into huge datasets to unearth valuable information.

Our experts build AI-driven systems to process visual inputs and identify objects or persons with superior speed and accuracy.
We deliver software designed to examine radiological images, body scans, or other sources and enable more accurate diagnoses.

Inventory management

We develop retail-oriented solutions that scan barcodes, monitor what customers pick, and update inventory levels to help keep stocks replenished.

Video surveillance

We create solutions that can spot intruders or shoplifters in action based on their anomalous behavioral patterns, fostering security.
We deploy computer vision tools to detect product defects or equipment failure, facilitating quality control and asset maintenance.

Natural language processing

Itransition's NLP solutions can extract knowledge from written and audio data and interact with humans in a wide range of scenarios.

Conversational AI

We configure chatbots and virtual assistants to provide 24/7 user support, remote patient care, or interactive elearning support.

Sentiment analysis

We build AI platforms that scan online interactions to assess the user base’s attitude towards products, services, and brands.

Content moderation

We develop filtering systems to identify and remove toxic content from social media, including hate speech, fake news, and spam.
We help you implement intelligent RPA bots to automate a variety of time-consuming tasks, such as messaging or document processing.

Data mining

Our team creates systems that sift through data to spot patterns or anomalies, facilitating decision-making with insights and forecasts.
We develop data analytics software capable of forecasting trends and outcomes to enable informed decisions while minimizing risk.
We deliver recommendation systems relying on AI algorithms to segment customers and target them with personalized suggestions.

We configure AI-based solutions that identify various types of outliers to predict fraud, malfunctions, health issues, and other risks.

Marketing analytics

We equip marketing service providers with AI tools to monitor user sentiment on social media, facilitate lead scoring, and drive sales.

Have an AI project in mind?

Get in touch

AI use cases by industry

Here is a variety of industry-specific AI solutions designed to address the challenges and complexities of different operational scenarios.

Retail

Retail
  • Personalized learning programs
  • Identification of students at risk of dropout
  • Virtual tutors and chatbots for elearning apps
  • Real-time lesson translation and transcription via automatic speech recognition
  • Virtual reality for professional training
Education
Banking
Transportation
  • ADAS for assisted driving
  • IoT-based remote vehicle diagnostics
  • Equipment predictive maintenance
  • Quality control based on anomaly detection
Automotive

Healthcare

Healthcare

Agriculture

Agriculture

Manufacturing

  • Industrial asset predictive maintenance 
  • Automated product assembly lines
  • Optimized supply chain via product tracking
  • Computer vision-based quality assurance
Manufacturing

Real estate

  • Asset value prediction and pricing
  • Smart portfolio management
  • AR/VR-enabled virtual tours
  • KYC and lease contract processing
Real estate

AI services delivery pipeline

1

Business analysis

After framing your needs and assessing your current tech ecosystem, we help you decide where and if it makes sense to invest in AI instead of conventional development. We also define your future solution’s functional and non-functional requirements.

2

Initial data analysis

We perform an exploratory analysis to map available data sources and assess their reliability. These can include corporate data assets owned by the customer and public databases.

3

Solution design

Based on our technical and business evaluation, we select a suitable tech stack, design the product’s architecture, and define an implementation plan. We can also provide a PoC to ascertain the feasibility, economic viability, and potential limitations of the solution.

4

Building the AI solution

We carry out data pre-processing, which includes data cleansing, annotation and transformation. Then, we establish the solution’s evaluation criteria and train an AI model via supervised, unsupervised and reinforcement approaches. We can build an ensemble of AI and machine learning models to make sure we achieve the desired output.

5

Model integration and deployment

We integrate the trained model into the software architecture to power any AI-based modules and functionalities with the model’s output. Then, we deploy the AI solution on-premise or in a cloud-based environment.

6

Support

We provide ongoing support, maintenance, and regular updates according to DevOps best practices. This includes fine-tuning the accuracy of the AI model output by retraining the solution with new data sets.

AI tools and frameworks we use

Drawing on our extensive knowledge of the major AI-oriented tools, platforms, and services on the market, we select a suitable tech stack to deliver impactful solutions.

  • Python
  • R
  • Objective-C
  • C++
  • Java/Kotlin

  • TensorFlow Keras PyTorch Scikit-Learn
  • Theano MXNet NumPy NLTK
  • Pandas Caffe MLlib SparkML
  • Sonnet DarkNet Catboost XGBoost
  • LightGBM Annoy Faiss
  • NvidiaDigits OpenCV Microsoft Cognitive Toolkit

  • Neural radiance field (NeRF) Convolutional neural network (CNN) Recurrent neural network (RNN) YoloNet
  • Skeleton detection U-Net Generative adversarial network (GAN) AlphaPose
  • Pose2Seg RetinaFace DBSCAN
  • Clustering algorithms Regression algorithms Classification algorithms

  • Amazon SageMaker Amazon Rekognition Amazon Lex Amazon Polly Azure Machine Learning
  • AWS Deep Learning AMIs Azure Cognitive Services Azure Bot Service Azure Language Understanding Cloud Machine Learning Engine
  • Cloud Vision API Cloud Natural Language AI Cloud Speech API DialogFlow Amazon Transcribe/Amazon Polly
  • Amazon Comprehend Google Cloud AutoML NVIDIA CUDA OpenAI API

  • Azure Data Factory Azure Functions Azure Event Grid Azure Event Hubs Azure Databricks
  • Microsoft SQL Server Integration Services AWS Glue AWS Data Exchange Apache Nifi
  • Talend Informatica PowerCenter Dell Boomi MuleSoft Anypoint Platform
  • IBM InfoSphere Information Server Oracle Data Integrator SnapLogic Syncsort
  • Striim Pentaho Fivetran Matillion

  • Azure Blob Storage Azure Data Lake Storage Azure SQL Database Azure SQL Database Elastic Pool Azure SQL Managed Instance Azure Cosmos DB
  • Microsoft SQL Server Amazon S3 Amazon Redshift Amazon Aurora Amazon RDS
  • Amazon DynamoDB Amazon ElastiCache PostgreSQL MySql Oracle
  • Google Cloud Storage IBM Cloud Object Storage SAP HANA SQLite Teradata

  • Azure Analysis Services Azure Stream Analytics Azure Synapse Analytics Microsoft SQL Server Analysis Services Microsoft Power BI
  • Grafana QlikView Tableau Sisense
  • Amazon Athena Amazon Redshift Amazon Kinesis Data Analytics Google Cloud Storage
  • IBM Cloud Object Storage SAP HANA SQLite Teradata

  • Datawrapper Chartist.js matplotlib
  • seaborn bokeh
  • Plotly Altair
  • ggplot Infogram
  • Google Charts Fusion Charts
  • D3.js Excel
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