Our services
Consulting
Dotlogics machine learning consultants provide strategic guidance throughout ML development projects. Starting with goal-setting and analysis of your business processes and data sources, we offer scenarios for business process optimization with machine learning algorithms, define the expected results, select technologies, and outline the development scope.
Modeling
Depending on the available data and outlined business goals, we offer optimal ML modeling algorithms. To prepare rich and healthy data sets for effective modeling, we handle all data-related processes, including data collection, cleansing, and structuring. We use ready-made ML models as well as build custom ones, assessing their effectiveness so that trained data fulfill its business tasks correctly and stably.
Implementation
We shape ML models into fully functioning AI solutions or integrate them into enterprise software to augment its capabilities. Our ML experts ensure that machine learning solutions operate smoothly within software ecosystems and perform properly without jeopardizing the integrity and operation of deployed systems.
It doesn’t have to be complicated
Hand over your ML project to experts
ML model development
As part of machine learning services, Itransition builds, trains, validates, and deploys tailored ML models that discover patterns and learn from the provided datasets and historical data. Our team delivers custom models that become the basis of intelligent business solutions adjusted to your specific requirements.
Building
Dotlogics enriches ready-made ML models with custom data pre-processing scripts for vectorizing data, removing outliers and correlations. Uploading the prepared dataset, we configure ML models in line with your objectives.
Training
Dotlogics runs training algorithms that find dependencies across disparate datasets, including structured and unstructured, human-generated and system-provided data.
Tuning
Our engineers evaluate the results generated by ML models and fine-tune their parameters continuously until the results become acceptable.
Deployment
Our team wraps the ML model source code into a separate container, publishing it to the required platform, so you can start getting benefits from freshly generated data.
Our machine learning solutions
- Association
- Anomaly detection
- Classification
- Inference
- Clustering
- Sentiment analysis
- Speech-to-text conversion
- Spam filtering
- Semantic analysis
- Voice UI
- Face recognition
- Biometric verification
- Medical image analysis
- Visual search and identity
- Scene understanding
- Application configuration
- Data search
- Data entry and load
- Report generation
- Data validation
Recommendation engines
As part of machine learning services, Itransition builds, trains, validates, and deploys tailored ML models that discover patterns and learn from the provided datasets and historical data. Our team delivers custom models that become the basis of intelligent business solutions adjusted to your specific requirements.
Collaborative filtering
Content-based filtering
Get to know the team
who will translate your technical specs into business gains
Machine learning consulting in the business context
Built at the intersection of data mining, reporting, visualization, recognition APIs, and advanced ML models, machine learning apps by Itransition provide you with a 360-degree view of your customer and business performance, while offering personalized recommendations and automating business processes.
Enterprise analytics
Stemming from data science, our solutions are designed to single out valuable insights into enterprise performance and risks. With this information, decision-makers can have a clear understanding of market conditions, industry trends, and customer behavior, as well as take well-grounded steps to develop their enterprises further.
Smart customer insights
We introduce intelligent assistants and recommendation engines as part of CX initiatives, to help companies increase their service personalization and win their customers’ loyalty. Our applications cover the entire continuum of business-to-customer relationships and analyze volumes of data for vital knowledge about customers.
Intelligent business automation
We apply our industry expertise to help enterprises adopt machine learning solutions as part of their business automation programs. Our systems foster enterprise processes at different levels, from sophisticated business planning and strategizing to commonplace emailing and surveying, all based on finely tuned ML models.
Platforms
We rely on pre-trained third-party services that offer image, gesture and video processing, speech recognition, text analytics, semantic search, and bot development tools. Ready-to-use interactive canvas coupled with pre-configured components enable us to jumpstart custom classification and regression model development for your particular business case.
Amazon Machine Learning
Amazon Rekognition
Amazon Lex
Amazon Polly
Azure Machine Learning
Azure Cognitive Services
Language Understanding Intelligent Service
Azure Bot Service and Bot Framework
Cloud Machine Learning Engine
Cloud Vision API
Cloud Natural Language
Cloud Speech API
Dialogflow
Languages
Python
Python is our top choice for versatile machine learning projects owing to its flexibility and stability. With a plethora of ready-to-use frameworks and libraries, such as TensorFlow, PyTorch,Scikit-learn and Pandas, there are almost no ML tasks impossible in Python.
R
R is part of our ML technology stack that allows us to excel in complex data analysis and visualization projects. With a multitude of available packages, R is our must-have tool for statistical modeling, plotting, and data exploration.
C++
We rely on C++ when it comes to creating highly performing machine learning models from scratch. The power of C++ is exactly what we use to deliver custom ML solutions with sophisticated features, particularly in areas requiring processing of audio, video and images.
Java
Java is our programming language of choice for handling data science and deep learning challenges and preparing data for ML modeling. We include Java in our toolkit to deal with all types of neural networks and apply open-source ML frameworks efficiently.
Let's Get to Work.
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