AI infrastructure and cloud back-end for a new VR training platform

Client NameČeská podnikatelská pojišťovna

Client CountryCzech Republic

  • Client typeEnterprise
  • IndustryFinancial Services, Markets & Insurance
  • Application areasArea Agnostic
  • AI technologiesConversational AI (chatbots, voicebots), Large Language Models (LLMs), Natural Language Processing (NLP), Speech Recognition & Synthesis
  • Business impactsEmployee Enablement & Productivity
  • Data typesAudio Data, Documents / Semi-structured Data, Textual Data, Video Data
  • Delivery modelsCustom Development
  • DeploymentsCloud
  • Key capabilitiesAI Education & Competency Development
  • Project stagesInitial Production Deployment
  • Solution formsStandalone Application

Solution Description

Problem description

Traditional training methods lacked immersion and real-life simulation. There was no measurable feedback to track progress. Scalability and repeatability of instructor-led training were limited. Professionals needed to improve clarity, confidence, and non-verbal communication in realistic conditions. It was difficult to adapt training to different roles or situations.

Solution

BigHub developed the AI infrastructure and cloud back-end for a new VR training platform focused on presentation skills. The system collects and processes motion and voice data in the Microsoft Azure environment and provides each user with dynamic feedback.

Main Users of the Solution

Employees

Project timeframe (months)

3

Technologies used

Integration of Azure services, including Data Lake, Terraform, ADLS Gen2, Entra ID and LangChain-based logic.

Additional services

  • AI strategy and roadmap
  • AI model selection and customisation

Implementation

Project Owner on the Client's Side

Head of Innovation / Digital Transformation

Impact and Results

Qualitative Benefits

Faster skills development – users achieved up to three times faster improvement in speaking and presentation skills compared to traditional classroom training. Increased confidence – 100% of users reported higher confidence after using the platform. Data-driven feedback – measurable impact on speech clarity, eye contact, posture, and audience engagement, monitored with real-time AI analysis. Scalable and reusable – the platform can be adapted to simulate different business situations (e.g., internal updates, sales presentations, public speaking).

Client Feedback

“We consider BigHub one of the leading AI and data solutions providers in the Czech Republic, which has been repeatedly confirmed by the projects we work on together. They not only help us deliver these projects but also actively contribute to their creation and proactively seek opportunities to deliver business value.” – Vít Fadrhons, Director of AI Department, Kooperativa.

Lessons Learned and Recommendations

Key Success Factors

Effective project management – clearly defined roles, responsibilities, and regular communication. Team collaboration – high engagement and open knowledge sharing among team members. Data quality and availability – enabled faster development and more reliable results. Flexibility and adaptability – ability to quickly respond to changes and new requirements.

Recommendation for Others

When planning an AI project, we recommend starting with a clearly defined business goal and a realistic estimate of benefits and risks.

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