AI-Powered Solutions

Machine Learning and Deep Learning
Software Development

Learn how Pro4People can help you in AI-Powered Software Development

Artificial Intelligence, deep learning, neural networks – those are not just buzzwords. Those are technologies which are being seen more and more in almost all industries. AI applications are especially valuable in big data analysis, as neural networks are designed to find patterns in big data sets.

However, developing AI-powered solutions requires in-depth, multidisciplinary domain knowledge of various neural network topologies, experience in preparing data sets to train the AI-powered software, as well as using optimization techniques to make the intelligent software efficient. Work with Pro4People, an AI solutions provider that knows these areas inside out.

Your Gains

By choosing Pro4People you’re ensuring:

a partner with in-depth knowledge of building AI-powered software

a team experienced in processing big data and preparing pre-processed data sets for machine learning and deep learning

a group of developers familiar with widely used frameworks to minimize the time required for building solutions that utilize machine learning

Pro4People’s individuals with broad domain knowledge obtained in multiple executed and current projects

a team capable of building AI solutions with live action detection, computer vision and failure detection and prediction

Big Data Analysis Applications

Deep learning processes are only as good as the data sets used to train the neural network which works in their core. The more data, the better results, that is why artificial intelligence sees more and more applications in big data analysis. However, the AI solution itself needs to be designed and optimized with training data in mind.

Building your AI algorithms around improperly curated data may result in the final solution being inaccurate or very circumstantial. Luckily, Pro4People has expertise in big data analysis and can apply this knowledge to preparing input data for machine learning and deep learning so that the final AI-powered solution is well optimized and produces accurate results.

Neural Network Topologies is the Key

Deep learning can be used to solving a wide range of problems, such as analyzing big data, live video streams or images. There are various neural network topologies which can be applied to those use cases, like:

  • Convolutional Neural Networks (CNN)
  • Recurrent Neural Networks (RNN) with Gated Recurrent Units (GRU)
  • Long Short-term Memory Networks (LSTM)
  • Proprietary Neural Network topologies

Those topologies do not solve problems on their own, though. Pro4People team has the know-how on how various neural network topologies should be implemented, tuned, and combined with other elements to be successfully used in machine learning and deep learning applications.

Learn how Pro4People can help you
in AI-Powered Software Development

 

 

 

Neural Network Optimization

Machine learning and deep learning methods are often powered by neural networks and training neural networks is a resource intensive process. Pro4People engineers use various network topologies and their own innovative structures to build well-optimized AI-powered software.

Moreover, we are experienced in harnessing the power of CUDA GPUs to make the training process faster and more robust. Pro4People is an Amazon Web Services Consulting Partner who can also further optimize the AI solution for AWS cloud development, deployment and maintenance.

Smart AI Software Development

By choosing Pro4People, you’re ensured:

  • a partner with in-depth knowledge of building AI-powered software
  • a team experienced in processing big data and preparing pre-processed data sets for machine learning and deep learning
  • a team of developers familiar with widely used frameworks, which minimizes the time required to build solutions that utilize machine learning
  • Pro4People’s individuals with broad domain knowledge gained in a broad spectrum of completed and current projects
  • a team capable of building AI solutions for such applications as image recognition, failure detection and prediction, live-action detection and many others

Pro4People provides a team specialized in the area of building AI solutions:

  • Project Manager
  • Data Analyst
  • Technical Leader
  • Software Developer
  • Quality Assurance
  • Configuration Manager / DevOps

The team delivers work in an iterative approach, so you will receive frequent feedback on the development process to guarantee transparency and to maintain full control over it. It is crucial, as such projects usually require quite a significant amount of research and communication to provide an accurate, well-optimized AI-powered solution.

Learn how Pro4People can help you
in Machine Learning Software Development

References

Neil Daly - CEO of Skin Analytics

We selected Pro4People as a strategic development partner based on their deep understanding of delivering Software as a Medical Device (SaMD) products. They’ve been engaged, collaborative and an extremely valuable partner.

Neil Daly
CEO of Skin Analytics
https://skin-analytics.com/

Skin Analytics

Let’s talk about your project

Information Note

Pro4People sp. z o.o., based in Wrocław, Poland at Wołowska 18 (postal code 51-116), will be the controller of your entrusted personal data. Your personal data will be processed for the period of 3 years from the moment of the last contact. Your data will be processed under the General Data Protection Regulation (GDPR) and derived Polish national regulations. The base for processing is your consent, thus you can execute all the individual rights derived from GDPR at any moment by contacting us at gdpr@pro4people.com. Pro4People may transfer your personal data only to its Trustworthy Suppliers providing supplementary services to us for the purpose specified in this consent.

Pro4People Sp. z o.o.

If you prefer to reach us directly,
you can send us an email or call us:

info@pro4people.com
+48 663 466 030

Our office is located in Poland/Europe
and we operate from 9 to 17 (UTC+2).