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AI, ML & Data Engineering

Expand your team with AI, ML & data engineers available where you need them, when you need them.

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Build AI faster with team extension

Clean, structured data—and the people behind it—make or break your AI ambitions. Get extra talent to give your AI projects a boost.

Data Engineers

Need to prepare your data for AI-based projects? Integrate multiple data sources? Check for duplicates? Clean what you got? Data engineering team extension can help you get rid of the bottlenecks.

Machine Learning Engineers

Once the data is ready, the focus shifts to designing ML models tailored to specific business needs. By embedding external ML engineers, data scientists, or MLOps experts directly into your team, you can fill skill gaps and speed up delivery.

AI Engineers

Want to automate something? Build a chatbot? Introduce an agentic workflow? Adding external AI talent translates into faster project delivery, concept validation, and time to market.

Why get AI, ML & data team extension?

Businesses that we’ve worked with enjoyed quicker product demos for investors, rapid concept validation, and speedy AI implementation. We helped boost AI for:
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If I had to choose two words to summarize our collaboration with Netguru it would be 'speed' and 'efficiency'. They were able to provide us with a POC within the 5 weeks deadline and now, with the AI R&D Assistant, we can complete our task in a fraction of the time.
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Mark Greiner

Digital Innovation Manager at Merck KGaA Darmstadt

Advanced AI for real-life effects

COSMO Group collaborated with Netguru to create NEONAIL, a virtual try-on app for manicures. Deep learning plays a crucial role in enhancing the app's image recognition capabilities. Using advanced AI and augmented reality technologies, the app provides real-time, lifelike 3D effects of colored nails, enabling customers to test and purchase products with more confidence.

Read case study
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60% more engagement with hyper-personalization for a US proptech

Newzip approached Netguru for a scalable AI solution. The goal was to enhance customer experience by tailoring property recommendations to individual preferences, thereby improving engagement and conversions. We developed an AI PoC in under 6 weeks.

It's difficult as a startup to divide your time between evolving your existing product portfolio and experimenting with new technologies, you only have so much bandwidth at our stage.
Adi Pavlovic.

Adi Pavlović

CEO & Co-Founder of Newzip

See the app
NewZip_case study_1

Top challenges we solve

  1. Automating manual processes

    For Newglobe, a US-based education company, we streamlined teacher manuals creation, cutting production time from months to days.

  2. Visualizing complex data

    For NeedEnergy, a Zimbabwean startup, we provided data science expertise to build an ML-based energy consumption forecasting model.

  3. Improving data quality

    For CLARIN-PL, we built a high-quality dataset of valid and abusive clauses from real documents, enabling the NLP model to accurately classify and differentiate between them.

Why Netguru?

We speed up AI adoption and ramp up engineering and design teams to help you lead your industry.

15+

Years on market

400+

People on board

2500+

Projects delivered

73

Our current NPS score

Our work was featured on

See more case studies

Check how we delivered tangible gains for clients across industries.
AI proof of concept

How Netguru Built An AI Agent That Supercharges Sales

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AI-Powered Legal Search Prototype for Tax Law

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AI-Powered Sales Advisor for Ecommerce

Fuel business growth with AI, ML & data engineering

As businesses face growing pressure to optimize processes and cut costs, a well-structured data strategy becomes crucial. By implementing scalable data architectures you create a foundation that enhances operational efficiency. Netguru's AI & ML development services offer customized, cutting-edge solutions designed to meet the unique needs of your industry. From automating processes to enhancing customer engagement and enabling data-driven decisions, our expert team ensures that your AI investment delivers real, measurable results.

What are Data Engineering Services?

Netguru's Data Engineering services are designed to help businesses optimize their data usage, management, and automation. We create advanced data pipelines, enabling you to focus on extracting valuable insights without the complexities of manual data handling. Our expert team works with global enterprises to develop sophisticated data processing systems, extract critical business information, and ensure the highest standards of data quality and availability.

How does Netguru support clients in Data Engineering?

Our Data Engineering practice specializes in designing and constructing robust systems for data ingestion, collection, storage, and analysis. We facilitate seamless access to data, perform sophisticated analyses on raw data, and develop advanced Data Pipelines and Data Platforms. By leveraging cutting-edge technologies and methodologies, we ensure that data is both accessible and actionable, empowering companies to make informed decisions.

Who are Netguru's Data Engineering consultants?

Netguru's Data Engineers are experts in various programming languages essential for data platform development. They build data pipelines for seamless data transfer between systems, handle data transformation, and ensure data is consistently available, properly formatted, and ready for complex analytical processes. Their work is crucial for integrating disparate data systems and fostering data-driven decision-making across organizations.

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.

What types of AI solutions does Netguru offer?

Netguru specializes in AI development services across various industries. Our team crafts a wide range of tailored solutions to meet specific business needs, utilizing Natural Language Processing, Machine Learning, and more. Our expertise includes:

  • Intelligent Chatbots: Enhance customer interactions and streamline support with AI-powered chatbots.
  • Image Recognition Systems: Automate visual tasks and gain deeper insights from images.
  • Personalized Recommendation Engines: Improve customer satisfaction and drive sales with recommendations tailored to individual preferences.
  • Predictive Models: Forecast trends, anticipate customer behavior, and make data-driven decisions.
  • Sentiment Analysis Tools: Gauge customer opinions and feedback to refine your strategies.

What technologies power Netguru's AI solutions?

Netguru uses a robust tech stack to ensure cutting-edge and effective AI solutions. This includes:

  • Machine Learning Libraries: TensorFlow and PyTorch for building and training complex AI models.
  • Natural Language Processing Libraries: NLTK and spaCy for efficient text data processing and analysis.
  • Cloud Platforms: AWS, Azure, and Google Cloud for scalable resources and model management.
  • Deep Learning Frameworks: Keras for simplified neural network development.
  • Versatile Machine Learning Library: Scikit-learn for diverse AI tasks.
  • Retrieval-Augmented Generation (RAG): Combining language models with retrieval-based approaches to deliver more accurate and contextually relevant responses by accessing vast knowledge bases in real-time.
  • Reinforcement Learning with Human Feedback (RLHF): Incorporating human feedback to refine AI behaviors and decision-making, ensuring models align with user expectations and ethical guidelines.
  • Fine-Tuning Techniques: Customizing models to meet specific business needs, allowing for precision in tasks like customer support, personalized recommendations, and sentiment analysis, while reducing bias and improving relevance.

How long does it take to build an AI-powered product?

Building an AI-based product typically takes 4-9 months, but the timeline can vary based on factors such as:

  • Problem complexity: Intricate problems may demand more development time.
  • Data availability and quality: Well-organized, high-quality data streamlines development.
  • AI team experience: Experienced teams deliver faster results.
  • Choice of AI algorithm: Complex algorithms can extend development time.
  • Team size: Larger teams may accelerate progress but increase coordination complexity.
  • Integration with third-party services: External API integrations add to the timeline.
  • Testing and evaluation: Thorough testing ensures quality and can extend the timeline.

See how Team Extension works at Netguru

Fill in the form to get a full package of information about how our AI, ML and Data Team Extension services can help your company innovate and beat the competition.