Machine learning consulting
services & solutions we deliver

Machine learning consulting services & solutions we deliver

Machine learning consulting streamlines the deployment of ML solutions powered by self-learning algorithms and designed to enhance decision-making and operational efficiency. Itransition offers its ML expertise to help companies get the most out of this technology and overcome adoption challenges.

Why choose Itransition

25+ years in IT consulting and software development services

5+ years of experience in machine learning consulting and development

An in-house AI/ML Center of Excellence

Standing partnerships with Microsoft and AWS

Established MLOps practices

4.9 average review rating on Clutch

The scope of our machine learning consulting services

The scope of our machine learning consulting services
  • Identifying business needs via discovery workshops, interviews, and process observations
  • Selecting viable ML use cases
  • Assessing the customer’s current technical environment
  • Helping define the solution’s functional and non-functional requirements
  • Defining dataset requirements
  • Assisting with data sources selection
  • Assessing the quality of available data
  • Advising on data analysis and cleaning
  • Assisting with data imputation or dimension reduction
  • Designing a data preprocessing pipeline
  • Offering guidance on the creation of a data analysis flow
  • Suggesting suitable machine learning techniques and ML algorithms
  • Helping select a technology stack
  • Detailing the ML solution’s architecture
  • Advising on UX/UI design
  • Planning the development stages (PoC, MVP, and main releases)
  • Creating testing strategies
  • Advising on ML model performance assessment
  • Defining the project's goals, scope, deliverables, and timeframe
  • Monitoring data preprocessing tasks
  • Providing guidance on ML model training
  • Keeping track of the solution’s development progress
  • Ensuring adherence to ML implementation guidelines
  • Offering recommendations on the ML model’s security and compliance
  • Selecting suitable deployment environments
  • Defining an ML deployment strategy
  • Offering guidance on ML model integration into corporate software
  • Providing assistance with ML model scalability in the target environment
  • Ensuring the ML model’s performance and security
  • Assessing the adherence to ML integration and testing guidelines
  • Setting up a maintenance plan
  • Assisting with ML model performance monitoring and issue detection
  • Advising on the need for ML model retraining
  • Defining a continuous improvement strategy
  • Providing ongoing user training and support

Looking for a reliable tech partner for your ML project?

Contact us

Client spotlight

Take a look at case studies from our vast portfolio of successful machine learning projects to gauge the potential payoffs of collaborating with us.

ML-powered retail BI platform

8%

buyer conversion rate

Itransition delivered an advanced BI platform with an ML-powered recommender system and computer vision capabilities to help the customer predict user behavior and personalize customer interactions.

ML-based shoppable video platform

25%

customer satisfaction

Our team enhanced a video ecommerce platform with ML-based functionalities, allowing the customer to create shoppable images and videos for online channels and provide a frictionless ecommerce experience.

Aquatic environment analysis PoC system

98%

detection accuracy

Itransition’s ML consultants helped a team of scientists develop a computer vision-based PoC for a plankton detection and classification system, recommending a suitable architecture and tech stack and ultimately proving the solution’s feasibility.

ML-powered retail BI platform

8%

buyer conversion rate

Itransition delivered an advanced BI platform with an ML-powered recommender system and computer vision capabilities to help the customer predict user behavior and personalize customer interactions.

ML-based shoppable video platform

25%

customer satisfaction

Our team enhanced a video ecommerce platform with ML-based functionalities, allowing the customer to create shoppable images and videos for online channels and provide a frictionless ecommerce experience.

Aquatic environment analysis PoC system

98%

detection accuracy

Itransition’s ML consultants helped a team of scientists develop a computer vision-based PoC for a plankton detection and classification system, recommending a suitable architecture and tech stack and ultimately proving the solution’s feasibility.

ML-powered retail BI platform

8%

buyer conversion rate

Itransition delivered an advanced BI platform with an ML-powered recommender system and computer vision capabilities to help the customer predict user behavior and personalize customer interactions.

ML-based shoppable video platform

25%

customer satisfaction

Our team enhanced a video ecommerce platform with ML-based functionalities, allowing the customer to create shoppable images and videos for online channels and provide a frictionless ecommerce experience.

Aquatic environment analysis PoC system

98%

detection accuracy

Itransition’s ML consultants helped a team of scientists develop a computer vision-based PoC for a plankton detection and classification system, recommending a suitable architecture and tech stack and ultimately proving the solution’s feasibility.

Our customers say

Over the course of our collaboration with Itransition, we were consistently impressed with both the skill and dedication their team employed to fulfill our business needs. Itransition’s involvement extended beyond the technical realization of the project, they acted as consultants, continuously helping us hone the project vision and suggesting approaches that would be best suited for the intricacies of our business.

Dr Sarah Melville

Media Director, YouGov Sport

Our machine learning expertise

Itransition’s ML skills include computer vision-powered solutions that can capture, process, and make sense of visual inputs from multimedia content or the physical world to extract valuable information.

Natural language processing

The scope of Itransition's ML consulting services encompasses NLP-based tools that use complex language models to gather data from text or audio, interpret and mimic human communication, and perform real-time transcription, translation, and content generation.

Data mining

Itransition's consultants help build data mining solutions that rely on statistical and ML-based techniques to delve into wide sets of data, identify patterns, outliers, or relationships between variables, and derive business-relevant insights.

Machine learning solutions across industries

Itransition provides ML consulting services to help our clients incorporate insights derived from big data into their healthcare practices and personalize treatments, achieve better medical outcomes, improve patient satisfaction, and reduce operating costs.

Healthcare

Itransition equips financial institutes with ML solutions to help them attract more customers, minimize credit and investment risks, identify new liquidity opportunities, and automate various business processes.

  • Fraud detection
  • Credit scoring for loan/credit card approval
  • Algorithmic trading
  • Active portfolio and wealth management
  • Dynamic customer segmentation and product recommendations
Banking

We offer ML consulting services to help retailers create customer-centric shopping experiences, enhance inventory management, and ensure safer shopping environments. 

Retail

Our consultants help online retailers implement ML-based tools to deliver a more interactive and personalized user experience, forecast ecommerce trends, and drive sales.

  • Chatbots and digital shopping assistants
  • Targeted marketing
  • Product recommendation systems
  • Dynamic product pricing
  • Smart route planning and anticipatory shipping
Ecommerce

Itransition helps companies in the real estate domain apply machine learning algorithms to detect shifting market trends, predict the price of properties in relation to market offerings, find the best investment options, and deliver superior customer experience. 

  • Home search and recommendations
  • Property performance and market value prediction
  • Automated property management
  • ML-powered lead generation
  • Virtual tours
Real estate

We assist manufacturing companies in implementing ML-based solutions that help optimize equipment maintenance schedules, better manage fluctuations in demand and supply, and timely address anomalies in production processes.

  • Equipment failure predictions
  • Product development
  • Automated product inspection and quality control
  • Energy consumption monitoring and prediction
  • Supply and demand forecasting
Manufacturing

Itransition offers ML consulting services to help logistics companies achieve complete supply chain transparency and timely handle any issue, be it a vehicle breakdown, a sudden drop in demand, or shipping delays.

  • Vehicle and equipment breakdown prediction
  • Dynamic route optimization
  • Estimated time of arrival (ETA) prediction
  • Supply and demand balancing
  • Warehouse layout planning and workload prediction
Logistics

Itransition’s team assists businesses across industries to adopt ML systems that will boost their marketing initiatives with automation and data-driven insights.

  • Predictive customer segmentation
  • Ad personalization for targeted advertising
  • Marketing automation 
  • Customer lifetime value modeling
  • Customer churn prediction
Marketing

We share our ML expertise with financial institutions to help them and their customers identify investment opportunities, build balanced portfolios, and mitigate risk via AI-powered software. 

  • Stock price forecasting
  • Market sentiment analysis
  • Automated trade execution 
  • Financial fraud detection
  • Autonomous stock trackers
Stock market

Itransition helps educational institutions and eLearning service providers embrace ML capabilities to increase student engagement and outcomes while improving operational efficiency.

  • Intelligent tutoring systems for eLearning apps
  • Personalized learning paths
  • Identification of students at risk of dropping out
  • Elearning content translation and lesson transcription 
  • Virtual reality for professional training
Education

We help agricultural organizations adopt ML technology to enable the security of remote facilities, ensure better yields, and improve pesticide effectiveness. 

  • Yield mapping and estimation
  • Disease detection and treatment recommendations
  • Classification of plant species
  • Crop quality detection and classification
  • Livestock health condition monitoring
Agriculture

How we address common ML pain points

Data quality & availability
Our machine learning experts help you set up the necessary data collection, cleaning, and transformation processes, removing inaccurate or inconsistent data points and complementing your corporate data assets with data from carefully selected external sources if necessary.
Accuracy & reliability
Itransition’s team ensures bias-free training of one or more ML models with high-quality data sets to achieve the desired output, or leverages cloud-based services providing accurate pre-trained models. After deployment, we can monitor model performance and conduct additional retraining with fresh data to optimize the solution.
Security & compliance
We design ML solutions featuring robust cybersecurity mechanisms, including role-based data access, multi-factor authentication, 24/7 user activity monitoring, and data exchange encryption. We also make sure your information is processed in line with regional and industry-specific data management and security regulations like GDPR, HIPAA, and PCI DSS.

Entrust your machine learning project to Itransition

Book a free consultation

Machine learning technologies we use

Our machine learning engineers have hands-on experience with major programming languages, libraries, frameworks, and third-party tools and services to build tailored ML solutions or improve the performance and resource usage of the existing ones.

Languages

  • Python

  • R

  • Objective-C

  • C++

  • Java/Kotlin

Libraries & frameworks

  • 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

Network architectures

  • 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

Task types

Clustering algorithms Regression algorithms  Classification algorithms

AI & ML services

  • Amazon SageMaker Amazon Rekognition Amazon Lex Amazon Polly Amazon Transcribe

  • Amazon Comprehend AWS Deep Learning AMIs Azure Machine Learning Azure Cognitive Services Azure AI Bot Service

  • Azure Conversational Language Understanding Google AI Platform Cloud Vision API Cloud Natural Language AI Cloud Speech-to-Text API

  • DialogFlow Google Cloud AutoML NVIDIA CUDA OpenAI API

Data integration tools

  • 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

  • Precisely Striim Pentaho Fivetran Matillion

Data storage services

  • 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

Data analytics platforms

  • 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

Data visualization tools

  • Datawrapper Chartist.js

  • matplotlib seaborn

  • bokeh Plotly

  • Altair ggplot

  • Infogram Google Charts

  • Fusion Charts D3.js

  • Excel

Benefits of turning to ML consultants

Optimized investment

Our machine learning consulting company can help your organization select an optimal tech stack and identify use cases requiring ML instead of conventional software solutions.

Streamlined project planning

With the support of a machine learning consulting firm, you can set up a suitable ML development and implementation roadmap and accurately define timelines, budgets, tasks, teams, and iterations.

Faster rollout

Our ML consultants can complement your in-house experts to complete your ML project faster and without recruiting and training additional talent.

Lower business risk

A team of ML consultants will help you address potential business or technical challenges (lack of training data, ML model bias, non-compliance, etc.) and mitigate related risks.

ML consulting FAQ

What engagement models do you offer?

For machine learning projects, we offer the following engagement models:

  • Full project outsourcing

    We take over your ML project and implement it end-to-end while enabling you to monitor our progress.

  • Dedicated team

    We assemble and manage a team of selected ML experts to work alongside your in-house or outsourced specialists on your ML project.

  • Staff augmentation

    We provide one or more ML specialists who will join your team and work under your management.

How do you integrate the ML solution with our legacy systems?

At the discovery stage, we analyze your existing technology environment and, drawing on this information, conceptualize the ML solution and define its components. If you want a fully-integrated solution, we can perform the necessary integrations; otherwise, we will pass all the necessary information and documentation to your in-house team.

Do we need the infrastructure to train ML models?

No, you don’t. Itransition can train custom machine learning models on local servers with increased CPU power as part of our service offering.

ML services and solutions
from certified machine learning experts

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ML services and solutions from certified machine learning experts

Get ML consulting and development services from machine learning experts. Proven expertise in artificial intelligence, machine learning, and data science.

Top machine learning use cases 
and industry applications

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Top machine learning use cases and industry applications

Discover top machine learning use cases and their examples across industries and learn how they make a difference for the companies.

AI use cases: 3 rules to find the right one for your business

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AI use cases: 3 rules to find the right one for your business

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ML PoC for aquatic environment analysis

Case study

ML PoC for aquatic environment analysis

Learn more about a PoC of an ML-based plankton detection and classification solution we developed, proving the suggested approach.

Supervised vs unsupervised
machine learning: a selection guide

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Find out how supervised and unsupervised learning work, along with their differences, use cases, algorithms, pros and cons, and selection factors.

Custom ML algorithms for an insurance platform

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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.