AI NX365

Design and implementation of AI solutions based on LLM, soft computing and hcomputing – with an emphasis on cost optimization and effective maintenance

Why does this approach work?

Unlike off-the-shelf solutions, a personalized AI development process is offered that starts with understanding the need and ends with ongoing maintenance and optimization of the model. You don’t adapt to the technology – the technology adapts to you.

What makes us stand out?

The process is based on CRISP-DM – a standard model for the development of analytical solutions.
Interdisciplinary approach – we combine LLM (Large Language Models) techniques, classic AI (hard computing) methods and an adaptive soft computing approach.
A team of experts – from requirements engineering, through artificial intelligence, to implementations in various industries.
Cost optimization – algorithms are adapted to both the budget and real requirements.
Flexible cooperation models – agile or waterfall, depending on the characteristics of the project.

Industry applications

Production: process optimization, failure prediction, quality control
Trade and e-commerce: customer behavior analysis, offer personalization
Public sector: administrative process automation, document analysis
Finance: risk assessment, anomaly detection, reporting automation

What does the process look like?

1. Understanding the need and business analysis

Workshops with the client Workshops are conducted with stakeholders to thoroughly understand business goals and challenges. This is the foundation for effectively matching technology to the real needs of the organization.

Expert requirements analysis specialists analyze functional and non-functional requirements, taking into account the industry and operational context. The result is a complete specification of expectations for the AI solution.

Identifying value-added points indicates areas where technology can deliver measurable value. This allows the client to know exactly in which processes the investment will bring the greatest return.

2. Access and preparation of data

Collaboration with the client in terms of data sharing The data sources necessary for the project are jointly determined. The client provides controlled access, in accordance with internal procedures.

Ensuring compliance with the principles of authorized access The security and confidentiality of data is ensured at every stage of processing. Applies to applicable regulations and guidelines on information protection.

Data preprocessing and validation Data is cleaned, transformed, and standardized for analysis suitability. Qualitative and quantitative validation is also performed

3. Model design and development

Selection of appropriate techniques (LLM / soft / hard computing) Based on the needs and characteristics of the data, the most appropriate algorithmic approach is selected. The computational capabilities and scalability of the solution are taken into account.

Creating a model with technical and financial possibilities in mind The model is developed with cost efficiency and compatibility with the client’s infrastructure in mind. This ensures high quality without excessive budget burden.

Testing solutions internally before implementation Each model undergoes a series of functional and quality tests in a controlled environment. Only after passing them positively is it approved for implementation.

4. Implementation and launch

Supervision by specialists experienced in scalable implementations The implementation process is carried out by a team experienced in both small and large implementations. This guarantees business continuity and quick response to potential risks.

Integration with the client’s systems The developed solution is integrated with the existing IT infrastructure. We ensure compatibility with the organization’s key systems and tools.

Documentation and team training Full technical and operational documentation is provided and training is provided for designated employees. This allows the client’s team to effectively use the solution from day one

5. Maintenance and development

Possibility to purchase a service hours package The client can use a flexible hourly support package, adjusted to the intensity of use. This allows for quick response to current needs.

On-demand support for changes in data or operating conditions In the event of changes in the data structure or business processes, appropriate model modifications are provided. Project or intervention mode notifications are handled.

Monitoring the quality and effectiveness of the model At the customer’s request, continuous monitoring of the efficiency and accuracy of the model is introduced. This allows maintaining the high quality of the solution even in changing business conditions.

Guarantee of quality and responsibility

Each project is led by experienced project managers with industry certificates (e.g. Scrum, AgilePM). The quality of solutions is verified before each implementation.

Together we create solutions that matter.

Initiate a process that will bring real value. We recommend contacting us to arrange a consultation with an expert.