Machine Learning Services and Consulting

Enhance your business with state-of-the-art machine learning solutions

The partnership with Microsoft marks us as a trusted collaborator for businesses seeking to leverage AI for their digital transformation efforts.

Through our affiliation, we can offer our clients robust AI solutions and tools, critical for creating smarter applications and managing data effectively. The recognition from Microsoft also positions us as a reliable partner able to meet specific customer demands.

Our machine learning services

Machine learning

Developing the solution from scratch is the right move in case there’s a need for an ML algorithm with specific functionality. Such systems will address the needs and objectives of users perfectly.

Deep learning

Inspired by living creatures processing information, deep learning algorithms bring valuable benefits to a vast array of fields, from machine translation and computer vision to bioinformatics and drug design.

Data science

Using a combination of advanced analytics techniques and cutting-edge technologies like machine learning, data scientists extract insights from large volumes of data. This aids businesses in strategic planning, workflow optimization, customer behavior analytics, and data-driven decision-making.

Computer vision

ML algorithms with an ability to recognize images and distinguish objects shown can increase efficiency of an array of processes, from sorting, tagging and categorizing photos to reinforcing and automating the security with the help of CCTV.

Speech recognition

With the help of machine learning products become able to recognize and understand human speech making the user experience more lively and effective for a business.

Algorithm optimization

Optimizing machine learning algorithms means finessing their level of precision. Developers can significantly increase the efficiency of ML algorithms by advancing hyperparameters or achieving the best model variables through training.

Predictive analytics

Predictive analytics solutions analyze historical data to exploit it in identifying risks and opportunities and building predictive models. Utilizing machine learning for this purpose allows businesses to gain valuable insights into performance and risks facilitating data-driven decision making.

Sentiment analysis and NLP

Machine learning and natural language processing (NLP) enable businesses to automate processes like social media analysis or navigating the customer to the goal increasing the overall efficiency of sales and marketing activities.

Neural network development

Using neural network systems, businesses can track patterns that aren’t recognized by traditional analytics. This feature brings valuable insights about the market, the behavioral patterns of customers, and how they can be taken advantage of.

Optical character recognition

ML-based OCR solutions increase effectiveness of documentation management processes, ensure they contain no mistakes, and can even be implemented for security purposes to prevent confidential data leakage.

Machine learning solutions we build

Machine learning algorithms can be adapted to automate and streamline numerous business processes. Automating routine operations will free up time for challenging tasks requiring extra care.

Predictive maintenance

By utilizing predictive analytics, audiovisual comprehension, and other machine learning techniques, Innowise will reduce the financial losses of your business by providing the information on the maintenance needed for tools and machines in advance.

Fraud detection

To detect and prevent fraud, Innowise teaches machine learning solutions on specific data sets that teach the algorithms to check users’ actions according to certain rules or detect specific anomalies happening when a fraud case occurs.

Demand forecasting

Innowise leverages the power of machine learning to perform retrospective and real-time market data analysis unveiling seasonable trends in demand leading to more accurate sales predictions.

Dynamic pricing

Innowise implements machine learning models to analyze market data about the demand on particular products enabling businesses to automatically adjust their prices to the current demand and sell them more efficiently.

Real-time chatbot development

Our machine learning specialists will enhance customer experience with a chatbot simulating human conversation by implementing deep learning, natural language processing, speech recognition (text-to-speech/speech-to-text), and other ML tools.

Virtual assistant development

Building a virtual assistant, we create a special bond between your products and users with the help of audiovisual comprehension, deep learning, and natural language processing. Moreover, a virtual assistant can become a driver of creating a product ecosystem.

Customer behaviour analysis

By training machine learning algorithms to understand customer behavior, Innowise gives businesses essential insights into their customers allowing them to perform customer segmentation, model customer churn and decrease its rates, etc.

Smart recommender systems

Deep learning and marketing automation solutions will enable your business to offer users assets of any kind with increased precision, increasing user satisfaction and reducing churn rates.

Considering implementing machine learning solutions?

Let Innowise handle everything, from discovery to deployment

Platforms we work with

AWS machine learning

Amazon offers a number of pre-built machine learning solutions included in the platform. The technologies include transcribing, text-to-speech conversion, and natural language processing (NLP). This set of tools facilitates the fast deployment of ML solutions.

Amazon SageMaker Amazon Transcribe & Polly Amazon Comprehend Amazon Rekognition

Azure machine learning

Microsoft Azure is designed to support the end-to-end machine learning lifecycle, from data preparation to debugging and artifact tracking.

Azure Cognitive Services Azure Machine Learning Azure Bot Services Azure Applied AI Services

Google machine learning

Google Cloud is full of diverse tools utilized on various stages of the ML lifecycle, from model deployment and data preparation to building sophisticated models and tailoring the solution to a particular field.

Vertex AI Google Conversational AI Google AI for documents Google AI for industries

Machine learning for all industries

Augmenting processes with the help of machine learning will bring certain benefits to businesses of any domain.

Finance, banking & insurance

Risk management Credit assessment Fraud detection Predictive accounting Stock market analysis Algorithmic trading Computational finance

Finance, banking & insurance

Healthcare & life sciences

Medical diagnostics Health risk forecasting Personalized treatment Proactive health management Medical research analysis Workflow automation

Healthcare & life sciences

eCommerce & Retail

Dynamic pricing Recommendation engines Demand forecasting Stock management Buying behaviour prediction Process automation

eCommerce & Retail

Marketing

Cross-channel analytics Trends prediction Social listening and sentiment analysis Customer segmentation Smart targeting Consumer behaviour analysis

Marketing

Manufacturing

Predictive maintenance Condition monitoring Quality control Computer vision Process optimization

Manufacturing

Logistics & transportation

Predictive inventory planning Supply chain analysis Route planning Traffic prediction Self-driving vehicles

Logistics & transportation

Security

Fraud detection Face recognition Suspicious behaviour identification Forbidden item recognition Risk assessment Fishing messages filtering Malware protection Data leak protection

Security

Energy and utilities

Energy supply and demand optimization Carbon emissions optimization Smart grid management Power usage analytics and forecasting

Energy and utilities

Education

Adaptive learning Personalized learning Learning analytics Evaluating assessments

Education

Media & entertainment

Recommendation engines Targeted thumbnails, teasers Automated subtitles

Media & entertainment

Finance, banking & insurance

Risk management Credit assessment Fraud detection Predictive accounting Stock market analysis Algorithmic trading Computational finance

Finance, banking & insurance

Healthcare & life science

Medical diagnostics Health risk forecasting Personalized treatment Proactive health management Medical research analysis Algorithmic trading Workflow automation

Healthcare & life science

eCommerce and retail

Dynamic pricing Recommendation engines Demand forecasting Stock management Buying behaviour prediction Process automation

eCommerce and retail

Marketing

Cross-channel analytics Trends prediction Social listening and sentiment analysis Customer segmentation Smart targeting Consumer behaviour analysis

Marketing

Manufacturing

Predictive maintenance Condition monitoring Quality control Computer vision Process optimization

Manufacturing

Logistics & transportation

Predictive inventory planning Supply chain analysis Route planning Traffic prediction Self-driving vehicles

Logistics & transportation

Security

Fraud detection Face recognition Suspicious behaviour identification Forbidden item recognition Risk assessment Fishing messages filtering Malware protection Data leak protection

Security

Energy and utilities

Energy supply and demand optimization Carbon emissions optimization Smart grid management Power usage analytics and forecasting

Energy and utilities

Education

Adaptive learning Personalized learning Learning analytics Evaluating assessments

Education

Media & entertainment

Recommendation engines Targeted thumbnails, teasers Automated subtitles

Media & entertainment

How companies use machine learning

Big Tech exploits machine learning solutions not only to analyze data, but also to put it to use.

Netflix

Netflix utilizes ML algorithms everywhere from their recommender system to creating custom thumbnails depending on a particular user’s tastes to choosing optimal filming locations.

Google

Google implements machine learning and AI into all of their products, including their search engine, App Store, Google Assistant and Translate.

Amazon

Amazon embeds ML and AI solutions into the marketplace and the voice assistant Alexa, even enabling it to call emergency services.

Boost your business with machine learning

Automate routine

We can cut the time spent on raw data accumulation, analysis, and other routine time-consuming tasks by implementing machine learning algorithms. Automation won’t just save valuable resources – machine learning technologies can detect anomalies, patterns, and correlations, highlighting unique and efficient insights.

Analyze any data

Machine learning enables multidimensional data processing. By combining different types of data and analyzing them as one cluster, we can discover new trends and insights of great value to the business. Together with automation possibilities, the capability to analyze any data type makes machine learning a powerful tool for data analysis.

Improve customer service

Unleash the power of machine learning to automate customer service processes, boost their swiftness and efficiency while providing customers with personalized experiences. Businesses increase customer satisfaction and loyalty as well as reduce churn rates by improving their customer service processes with the help of machine learning solutions.

Improve security

Utilize machine learning algorithms as exceptional self-improving tools strengthening your business’ protection against malicious actions. ML solutions are capable of almost anything from automating routine tasks to securing the physical or virtual perimeter of a business.

“Machine learning is a versatile tool that can serve literally any industry. It’s able to perform a wide range of tasks from data analytics to autopiloting a vehicle. This gives businesses a formidable advantage over the competitors that ignore this technology. Our team has been building various machine learning solutions for years and definitely knows how to implement it in the most effective way.”

Pilip Tsikhanovich

Head of Big Data Department

Innowise is your best choice

years of expertise

We’ve been developing world-class solutions for businesses since 2007. Our profound experience enables us to deliver top-notch software fulfilling clients’ needs in a timely manner.

IT professionals

Our experienced team consists of more than 1000 tech-savvy specialists, each of them a brilliant expert in their field. As professionals, we are capable of deploying projects of any scale and technology stack.

75%

Senior or Middle

Our team consists of 75% senior or middle-level developers. With extensive domain expertise and deep insights, we deliver top-tier solutions with impressive performance and watertight security.

projects

Our vast portfolio covers a wide array of technology and business domains including FinTech, MedTech, eCommerce and other industries. We know how ML algorithms can streamline business processes and multiply outputs.

Available machine learning engineers for hire

John K.

Senior Data Scientist 5+ years of experience

SUMMARY

Data scientist and machine learning engineer with more than 5 years of experience in building, improving and maintaining data-driven projects to help build critical solutions to difficult problems.

AWS Docker Keras Kubernetes Matplotlib NLTK

10+

Numpy OpenCV Pandas Plotly Python PyTorch Scikit-learn Seaborn Spacy Tensorflow

Request full CV

Michael P.

Senior Data Scientist 18+ years of experience

SUMMARY

Data scientist and machine learning engineer with 18+ years of experience in turning data into strategic insights and meaningful solutions. Mainly focused on financial, ad-tech, and e-commerce domains.

Apache Spark Keras Matplotlib NER NLTK Numpy

11+

OpenCV Pandas Plotly Pyspark Python PyTorch Scikit-learn SciPy Seaborn Spacy Tensorflow

Request full CV

Andrew D.

Senior Data Scientist 5+ years of experience

SUMMARY

Strategic and inquisitive developer with more than 5 years of experience in programming using Python, R and C++, and the development of data science and machine learning algorithms.

AWS Azure C++Caffe Keras Matplotlib

10+

OCR OpenCV Pandas Plotly Python PyTorch R Scikit-learn Tensorflow Tesseract

Request full CV

Fill in the form to get a detailed CV

Thank you for your inquiry, our specialist will be in touch with you as soon as possible.

How we develop machine learning solutions

Requirement analysis

We analyze the tasks machine learning algorithms are intended to cover, suggest suitable tools, and evaluate the scope of work.

Data preparation and processing

We examine acquired raw data and select valuable clusters of data. Then we preprocess the selected cluster to transform it into a dataset and split it into three areas: data for training, data for validation, and data for tests. Data processing enables us to train the model and adjust its parameters for the highest efficiency.

Feature engineering

We define proper predictor variables created and further utilized for the predictive model based on our vast business domain knowledge and an in-depth understanding of their inner processes.

Model development

Through experimenting with model types, feature selections, and parameter tuning, we train several models and choose the optimal one. This process facilitates bringing the best-fitting model to the deployment stage.

Model deployment

We put the selected model to work in practice by integrating it into your work environment.

Model tuning

Having deployed the model, we continuously track the solution’s performance to rapidly adjust and improve it if needed.

Get your ML algorithms maintained by professionals

Let our highly skilled Machine Learning talents maintain your project

Machine learning implementation cost

Innowise has over years of experience in software development and + successfully launched projects of different scales and complexity. The final cost of each project depends on a number of factors, such as:

Team size

Team members level

Cooperation model

Complexity of the project

Duration of the project

Other project-specific variables

Team size

Team members level

Cooperation model

Complexity of the project

Duration of the project

Other project-specific variables

We always take into consideration the client’s budget and requests to render world-class solution engineering services at a reasonable cost.

FAQ

What is machine learning?

Machine learning is a subset of artificial intelligence presenting the area of computer algorithms science focusing on analyzing and interpreting patterns in data to facilitate predicting and making reasoned decisions.

How does machine learning work?

Using sample data, ML solutions build, analyze, and compare mathematical models giving an opportunity for rapid, informed, and highly accurate predictions of possible outcomes. These algorithms don’t just analyze incoming data but understand and use it, facilitating the system’s continuous self-improvement. Leveraging the unlimited potential of ML solutions is the core of success for modern industries.

Is machine learning important?

Machine learning supports data-driven decision-making, providing businesses with valuable insights into patterns and ways to optimize the production process to keep up with the development pace set up by the market, customers, and competitors.

How does machine learning differ from artificial intelligence?

While AI interacts with the environment to learn and take actions maximizing the chance of successfully achieving goals, ML learns and predicts by passively observing.

Will machine learning apply to my industry?

All industries are driven by data. Since machine learning’s main purpose is to analyze data and make predictions based on it, ML will be advantageous in any field.

Machine learning related cases

Contact us!

Book a call or fill out the form below and we’ll get back to you once we’ve processed your request.

What happens next?

Once we’ve received and processed your request, we’ll get back to you to detail your project needs and sign an NDA to ensure confidentiality.

After examining your wants, needs, and expectations, our team will devise a project proposal with the scope of work, team size, time, and cost estimates.

We’ll arrange a meeting with you to discuss the offer and nail down the details.

Finally, we’ll sign a contract and start working on your project right away.

Machine learning solutions

Build better projects with Microsoft Solutions Partner

Our machine learning services

Machine learning solutions we build

Predictive maintenance

Fraud detection

Demand forecasting

Dynamic pricing

Real-time chatbot development

Virtual assistant development

Customer behaviour analysis

Smart recommender systems

Platforms we work with

AWS machine learning

Azure machine learning

Google machine learning

Machine learning for all industries

How companies use machine learning

Netflix

Google

Amazon

Boost your business with machine learning

Automate routine

Analyze any data

Improve customer service

Improve security

Innowise is your best choice

Available machine learning engineers for hire

How we develop machine learning solutions

Machine learning implementation cost

FAQ

Machine learning related cases

Contact us!

What happens next?

Let^●s develop
software together!

Make another request

Close

Table of contents

Machine learning solutions

Build better projects with Microsoft Solutions Partner

Our machine learning services

Machine learning solutions we build

Predictive maintenance

Fraud detection

Demand forecasting

Dynamic pricing

Real-time chatbot development

Virtual assistant development

Customer behaviour analysis

Smart recommender systems

Platforms we work with

AWS machine learning

Azure machine learning

Google machine learning

Machine learning for all industries

How companies use machine learning

Netflix

Google

Amazon

Boost your business with machine learning

Automate routine

Analyze any data

Improve customer service

Improve security

Innowise is your best choice

Available machine learning engineers for hire

How we develop machine learning solutions

Machine learning implementation cost

FAQ

Machine learning related cases

Contact us!

What happens next?

Let●s develop software together!

Subscribe to our newsletter

Make another request

Close

Table of contents

Let^●s develop
software together!

Subscribe
to our newsletter