We will research an AI solution for your organisation
Apply sustainable AI
Creating an effective solution that includes AI is a complex and challenging process. There are several key components to any use of artificial intelligence. The business problem, the data, the algorithms, the integrations, the computational complexity – each of these factors have a significant impact on the final quality of the solution. During our collaboration, we will walk you through the entire range of research work: from the analysis of possible scenarios and available data to the design of algorithms to the creation of demonstration applications.
What can we do for you?
Intelligent analysis of image and video data, detection, and recognition of events and objects
Detection of abnormal situations based on various types of data
Optimisation and automation of key processes in the organisation
Forecasting, demand estimation, predictive maintenance
Digital products based on artificial intelligence and created and applied in a sustainable manner enable new technologies to be used to realise ESG goals.
Types of project
AI Adoption Strategy
AI adoption strategy will enable you to recognise the potential to improve your organisation using artificial intelligence solutions. A cross-cutting assessment of your processes and available data will create a coherent action plan and identify the most beneficial scenarios for using AI.
AI Adoption Strategy is a service dedicated to organisations that:
What will you get?
A cross-cutting analysis of the organisation’s processes in terms of using AI to optimise them. Analysis of different work scenarios and types of algorithms.
Review and evaluation of data sources that can be used to create AI algorithms. Preliminary analysis of the usability of different types of data.
Recommended action plan describing the next steps in developing an AI-based solution.
Feasibility Study allows you to assess the potential for using AI to solve a specified business problem. Its execution will determine the validity and opportunity for further work towards building a full-scale solution. We will analyse both the data and possible strategies.
As a result, it will become clear whether applying machine learning to a specific problem is likely to be successful. In addition, you will be provided with information on how to do this as efficiently and effectively as possible, using what kind of data and what further steps will lead to a satisfactory solution.
Feasibility Study is a service dedicated to organisations that:
What will you get?
A report providing an analysis of possible approaches and scenarios for the use of AI in a specific problem.
Source code of all data analysis and algorithmic work carried out.
Recommendations and action plan for further phases of the solution work.
Proof-of-Concept is the most advanced and labour-intensive variant of our Research-as-a-Service proposal. It is an integral part of building AI-based products and solutions. Its purpose is to test whether a given AI application has practical potential and a chance of effective, long-term performance. During the PoC work, machine learning experiments will be carried out to prepare a solution suitable for usability testing. The work will result in AI algorithms integrated with a test application tailored to address the given problem.
Proof-of-Concept is a service dedicated to organisations that:
What will you get?
Test how the solution performs in the hands of users and how it integrates with other systems in the organisation.
Algorithms trained using acquired data. Performance quality evaluation for the most common cases.
Knowledge of the strengths and weaknesses of the AI solution. Clarified work guidelines for a production implementation
Jak przebiega proces?
Research-as-a-Service składa się z 3 wariantów usługi, które układają się w pełny proces adopcji AI. Jednak współpraca może obejmować jeden lub wiele wariantów, dla różnych problemów biznesowych, w zależności od potrzeb organizacji.
How we develop software and AI
Our work focuses on modern technologies, and we keep a responsible approach to the process of applying AI and creating solutions. In every business case, the purpose of using AI is meaningful for us. We understand the importance of data and how it affects the potential of the algorithms we create. We believe that AI can be ethical and can support the goals of responsible development.
The technologies we use