Machine learning solutions

Machine learning solutions

Innowise Group draws upon profound expertise in machine learning to create state-of-the-art software solutions automating processes, reducing operating costs, and uncovering novel problem-solving opportunities. Our R&D specialists with broad knowledge of various business domains and ML technologies assist our clients in retrieving valuable insights about the market and increasing the overall effectiveness of business processes.

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

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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.
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.
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.

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 Group 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 Group 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 Group 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 Group 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 Group 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?

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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.

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Finance, banking & insurance
Risk management Credit assessment Fraud detection Predictive accounting Stock market analysis Algorithmic trading Computational finance
Finance, banking & insurance
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Healthcare & life sciences
Medical diagnostics Health risk forecasting Personalized treatment Proactive health management Medical research analysis Workflow automation
Healthcare & life sciences
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eCommerce & Retail
Dynamic pricing Recommendation engines Demand forecasting Stock management Buying behaviour prediction Process automation
eCommerce & Retail
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Marketing
Cross-channel analytics Trends prediction Social listening and sentiment analysis Customer segmentation Smart targeting Consumer behaviour analysis
Marketing
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Manufacturing
Predictive maintenance Condition monitoring Quality control Computer vision Process optimization
Manufacturing
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Logistics & transportation
Predictive inventory planning Supply chain analysis Route planning Traffic prediction Self-driving vehicles
Logistics & transportation
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Security
Fraud detection Face recognition Suspicious behaviour identification Forbidden item recognition Risk assessment Fishing messages filtering Malware protection Data leak protection
Security
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Energy and utilities
Energy supply and demand optimization Carbon emissions optimization Smart grid management Power usage analytics and forecasting
Energy and utilities
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Education
Adaptive learning Personalized learning Learning analytics Evaluating assessments
Education
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Media & entertainment
Recommendation engines Targeted thumbnails, teasers Automated subtitles
Media & entertainment
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Finance, banking & insurance
Risk management Credit assessment Fraud detection Predictive accounting Stock market analysis Algorithmic trading Computational finance
Finance, banking & insurance
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Healthcare & life sciences
Medical diagnostics Health risk forecasting Personalized treatment Proactive health management Medical research analysis Algorithmic trading Workflow automation
Healthcare & life sciences
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eCommerce & Retail
Dynamic pricing Recommendation engines Demand forecasting Stock management Buying behaviour prediction Process automation
eCommerce & Retail
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Marketing
Cross-channel analytics Trends prediction Social listening and sentiment analysis Customer segmentation Smart targeting Consumer behaviour analysis
Marketing
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Manufacturing
Predictive maintenance Condition monitoring Quality control Computer vision Process optimization
Manufacturing
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Logistics & transportation
Predictive inventory planning Supply chain analysis Route planning Traffic prediction Self-driving vehicles
Logistics & transportation
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Security
Fraud detection Face recognition Suspicious behaviour identification Forbidden item recognition Risk assessment Fishing messages filtering Malware protection Data leak protection
Security
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Energy and utilities
Energy supply and demand optimization Carbon emissions optimization Smart grid management Power usage analytics and forecasting
Energy and utilities
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Education
Adaptive learning Personalized learning Learning analytics Evaluating assessments
Education
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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.

Innowise Group is your best choice

15+
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.
1000+
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.
600+
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.

How we develop machine learning solutions

01
Requirement analysis
We analyze the tasks machine learning algorithms are intended to cover, suggest suitable tools, and evaluate the scope of work.
02
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.
03
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.
04
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.
05
Model deployment
We put the selected model to work in practice by integrating it into your work environment.
06
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

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Machine learning implementation cost

Innowise Group has over 15 years of experience in software development and 600+ successfully launched projects of different scales and complexity. The final cost of each project depends on a number of factors, such as:

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Team size
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Team members level
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Cooperation model
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Complexity of the project
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Duration of the project
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Other project-specific variables
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Team size
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Team members level
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Cooperation model
icon
Complexity of the project
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Duration of the project
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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

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.

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.

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.

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.

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.

Need other services?

Python development
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Blockchain development
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NFT development
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AR/VR development
Our company delivers highly-immersive AR/VR software along with consulting and solution support services
IT staff augmentation
Opt for team augmentation services to expand your in-house expertise and facilitate the IT project process

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Having received and processed your request, we will get back to you shortly to detail your project needs and sign an NDA to ensure the confidentiality of information.

2

After examining requirements, our analysts and developers devise a project proposal with the scope of works, team size, time, and cost estimates.

3

We arrange a meeting with you to discuss the offer and come to an agreement.

4

We sign a contract and start working on your project as quickly as possible.