Outrank the competition with machine learning services


Unlock your competitive edge with machine learning development services
In today's fast-paced business landscape, staying ahead means embracing machine learning applications. It's no secret that ML is the key to success for forward-thinking companies. It's a game-changer, driving cost reductions, process optimization, and elevated customer satisfaction by unleashing the hidden value in your data.
At Netguru, we are not just a machine learning company. We are the architects of innovation. Our machine learning development expertise can reshape your business processes and unlock new opportunities across a wide array of industries. From ecommerce to finance, healthcare to education, and retail to proptech, the potential of AI and machine learning is limitless. Partner with us to lead the way in the digital revolution and turn your data into a powerful tool for growth and success.
Machine learning can be used across practically any sector or industry
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Increase sales. 49% of customers are willing to purchase more frequently when machine learning is present.
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Improve productivity. Machine learning technologies are projected to increase labor productivity by up to 40% by 2035.
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Analyze large volumes of data. ML gives apps the ability to learn and improve over time. It is extremely adept at processing large volumes of data quickly and identifying patterns and trends.
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Improve customer satisfaction. 75% of enterprises using AI and machine learning tools enhance customer satisfaction by more than 10%.
Training machine learning model to find illegal contractual clauses
This required creating a tool that can analyze the language of complex legal texts, detecting abusive clauses before the consumer signs the agreement.
Netguru's role:
- Creating a system to detect abusive clauses
- Training a machine learning-powered Natural Language Processing (NLP) model to classify contractual terms

Case Studies of Netguru's Clients
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Effective Recommendation System With Machine Learning for Ecommerce
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Upending Knowledge Management With AI-Powered Knowledge Base
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An Intelligent Video Analytics Solution to Optimize Retail Operations
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A Prediction System to Better Estimate Talent Needs for Technology Projects
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Automated Data Engine for Global Market Research Platform
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Deploying AI-Powered Imaging for a Startup that Develops Sensor Technology
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Forecasting and Visualizing Complex Data for an Energy Management System
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Protecting Consumers from Unfair Contractual Terms Using Natural Language Processing
Machine learning projects don't have to be complex
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Data Engineering. Prepare your data to make the most of AI algorithms.
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Data Science. Uncover meaningful insights to improve your product or service.
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Recommendation Systems. Create a personalized experience for every user thanks to an accurate recommendation system.
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Natural Language Processing. Build natural interactions with your users and recognize patterns in unstructured data.
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Computer Vision. Automate difficult decision-making processes based on images.
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Audio Recognition. Identify patterns in audio data, enabling voice communication using a range of devices.
A robust process is our key advantage
Over the years, our team has tested and implemented a transparent and efficient workflow for machine learning projects. Our processes ensure our customers receive more reproducible results faster and in a more flexible way.
Our workflow focuses on three stages:
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Data management. We ensure that we have everything the model will need during training.
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Model/experiment flow. We create a model capable of producing predictions.
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Deployment. The model is connected to your application.
What is machine learning?
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Machine learning is a set of artificial intelligence techniques that gives web and mobile applications the ability to learn, adapt, and improve over time. It does this by processing vast amounts of data, identifying trends and patterns within it – most of which would not be apparent to a human being – and then making decisions and taking actions to help meet specific objectives.
Why do you need machine learning?
Machine learning solutions open your business up to a wide variety of new opportunities. You can use machine learning models to personalize your customer experience, automate processes, gain deeper insights with advanced analytics, and deploy digital solutions that will change the way customers interact with your product.
Machine learning is widely applied to business problems, reducing costs and increasing customer satisfaction. ML algorithms can be used in applications across practically any industry or sector – from eCommerce to finance, healthcare to education, and cybersecurity to charity services.
What are the best examples of machine learning?
Machine learning solutions are being used in various business sectors – both B2B and B2C companies can benefit from it.
Amazon uses an ML-powered recommendation engine that drives 35% of its total sales. Thanks to the AI-Bot Harry, AXA saves roughly 17,000 man-hours a year. At the same time, Vodafone noticed a 68% improvement in customer satisfaction after introducing its machine learning chatbot TOBi.
American Express and PayPal use machine learning models to quickly analyze millions of transactions and data points, giving them real-time fraud detection capabilities. These advanced digital tools allow customers to resolve problems with suspicious transactions almost instantly.
Researchers based at UCLA managed to identify cancer cells with greater than 95% accuracy after equipping a special microscope with machine learning algorithms.
Where can ML solutions be used?
Machine learning models are used in a range of industries. Businesses are using models to improve performance through process automation, predictive analytics, and anomaly detection, among a variety of other use cases.
For example, eCommerce and marketing leverage ML algorithms for their recommendation engines to provide better customer experiences. Hedge funds use ML tools to forecast stock prices, while insurance companies use advanced techniques to calculate risk more accurately. Banks and other financial institutions are able to detect suspicious transactions using fraud detection models. Medical companies use digital tools and deep learning approaches to diagnose medical conditions based on sets of symptoms.
Are machine learning services right for your business?
Machine learning projects are often high-risk projects due to their complex dependencies on data. That is why top companies offering machine learning services conduct feasibility studies to reduce the risk before engaging in a project. In this way, they ensure that sufficient data is available and that predicted outcomes are in line with the project goals.
World-class specialists at your disposal
Our developers are open source contributors with more than 220 repositories on GitHub.
We constantly invest in developing new digital technologies and testing solutions in our R&D department, sharing our experience and expertise both on expert blogs and at various tech industry conferences such as IGARSS, AAIA, and MICCAI.
Our team has provided machine learning services in a variety of engagements, including many end-to-end projects.
Personalized Shopping with ML for Countr
Technologies: Machine Learning, Ruby on Rails, Elasticsearch, Searchkick, Google Vision
Client Expectations:
- Develop a machine learning recommendation system for personalized product discovery.
- Enhance the platform's usability and scalability.
- Implement features like a single cart checkout and social interactions between users.
- Improve the app's look and feel while gaining positive user feedback.
- Use technology to innovate the shopping experience and gain a competitive edge in the market.
Result of the Partnership:
Netguru successfully restructured Countr's app, optimizing its architecture and enhancing scalability. Our team developed a machine learning recommendation algorithm, enabling tailored product discovery for users. The app's new version received positive feedback, attracting interest from celebrities for extended collaboration. Ruby "Gems" enabled third-party integrations, enhancing the client's search process and providing better results.

Speech-to-text transcription for CocoonWeaver
Technologies: Natural Language Processing, Machine Learning
Client Expectations:
- Create an iOS app that encourages users to collect and organize ideas using voice notes and transcription.
- Develop a simple, intuitive, and distraction-free interface to enhance creativity.
- Prioritize user privacy over monetizing user data, ensuring high-level data security.
- Deploy machine learning models on the device for privacy and offer features like geo-tagging and content sharing.
- Complement Apple's Siri with advanced natural language processing algorithms for speech-to-text transcription.
- Appeal to artists, journalists, entrepreneurs, and individuals with attention deficit tendencies.
- Enable users to record, categorize, and access their thoughts quickly and efficiently.
Result of the Partnership:
CocoonWeaver successfully tackled the challenge of helping users stay creative and focused in an age of digital distractions.
The app's unique approach encourages self-talk and the transformation of raw thoughts into refined concepts, using machine learning models to categorize voice notes. Prioritizing user privacy, the app deploys advanced natural language processing algorithms, maintaining impeccable privacy standards. It has become a go-to tool for professionals and those seeking to capture creative ideas on the go.

Revolutionizing retail operations with intelligent video analytics
Technologies: Machine Learning, Convolutional Neural Networks (CNNs), Edge Computing
Challenges:
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Develop a cost-effective video analytics system that optimizes retail operations by extracting insights from CCTV data.
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Address challenges in video data analytics, including extracting and analyzing unstructured data, scalability, and privacy concerns.
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Introduce automation to enhance operational capacity, reduce data processing time, and measure customer numbers, queue lengths, and cashier service management in real-time.
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Combine off-the-shelf components into a single processing pipeline, utilizing existing hardware, and leveraging machine learning, specifically Convolutional Neural Networks (CNNs).
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Create a proof of concept (PoC) adaptable to small retailers and enterprise retail companies with multiple stores.
Outcomes:
Netguru team successfully tackled the challenges of video data analytics in the retail sector by developing an intelligent video analytics system powered by machine learning and CNNs. This system introduced automation, enabling real-time monitoring of customer numbers, queue lengths, and cashier service management.
It respects privacy laws by anonymizing data, reduces manual monitoring, and enhances operational capacity. The solution promises to revolutionize the retail sector by providing insights for optimizing operations and improving the customer experience.

Our partners on working with Netguru
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My experience working with Netguru has been excellent. Outstanding software teams are resilient, and our developers at Netguru have certainly proven to be that. Our Netguru friends have become as close to team members as possible, and I am grateful for the care and excellence they have provided.
Gerardo Bonilla
Product Manager at Moonfare -
Netguru has been the best agency we've worked with so far. Your team understands Kelle and is able to design new skills, features, and interactions within our model, with a great focus on speed to market.
Adi Pavlovic
Director of Innovation at KW -
Working with Netguru has been a fantastic experience. We received a lot of support in terms of thinking about how we track metrics, how we design this properly, and how we build the architecture. We are extremely grateful for making our platform what it is today.
Manon Roux
Founder at Countr
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Years on the Market400+
People on Board2500+
Projects Delivered73
Our Current NPS Score
Machine learning FAQ: All your questions answered
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