What We Did
Sentigraph AI is an advanced report management and analytics platform designed to help teams understand data on a deeper, human level. Instead of focusing only on numbers and surface-level metrics, Sentigraph analyzes sentiment and emotional context to reveal how people actually feel behind the data. The platform transforms qualitative signals into clear insights that support better decision-making.
VECTO Digital was responsible for building the core web platform and administrative infrastructure. We developed a secure admin panel for company administrators and end users, allowing controlled access to reports, data sources and AI-powered analysis tools. The system was designed to support complex report generation workflows while remaining easy to use for non-technical teams.
Our work included backend development, AI integration and report logic architecture. The platform supports structured emotional analysis, sentiment classification and visual insight generation, making it suitable for internal analytics teams, researchers and decision-makers. The project was delivered using VECTO Digital’s software development services in Armenia and advanced web development service capabilities, supported by our role as a reliable IT service provider.
Technologies
- Node.js
- OpenAI model integration
- Self-hosted AI models
- Prompt engineering for sentiment analysis
- Data processing and analytics logic
- Custom admin panel architecture
Client’s Challenge
The client’s main challenge was to move beyond traditional reports based only on raw data and numerical indicators. They wanted to create reports that focus on emotional understanding and sentiment-driven insights.
Key challenges included:
- Designing a system capable of identifying sentiment categories such as positive, neutral and negative.
- Extracting emotional trends from large volumes of unstructured text and qualitative input.
- Presenting emotional insights in a structured and understandable report format.
- Supporting multiple report sections without overwhelming users with technical complexity.
- Building a platform flexible enough to evolve as emotional analysis models improve over time.
The client needed a solution that could interpret emotional context accurately while remaining clear and actionable for business and research teams.
Our Solution
VECTO Digital designed and built a sentiment-focused reporting system supported by AI-driven analysis. Our approach centered on clarity, depth and usability.
Key elements of the solution included:
- Development of a structured sentiment analysis engine that classifies emotional tone across datasets.
- Creation of multi-section reports covering emotional trends, sentiment distribution and contextual patterns.
- Integration of charts and heatmaps to visually represent emotional intensity and sentiment shifts.
- Implementation of an AI assistant that supports interpretation of emotional signals and highlights key insights.
- Construction of a role-based admin panel for managing users, reports and access permissions.
- Backend logic that allows reports to be generated, updated and reviewed efficiently.
Prompt engineering and model tuning were applied to improve interpretation accuracy and maintain consistency across reports.
Results and Impact
While the platform does not yet have measurable performance data, Sentigraph AI demonstrates strong potential across multiple use cases.
The platform helps teams to:
- Gain deeper understanding of emotional patterns hidden within qualitative data.
- Move from surface-level metrics to insight-driven analysis focused on human response.
- Identify emotional shifts, recurring concerns and sentiment trends over time.
- Support better decision-making by combining data analytics with emotional context.
- Adapt reporting strategies as new datasets and analysis models are introduced.
Sentigraph AI lays the foundation for a new approach to analytics, where emotional understanding plays a central role alongside traditional data analysis. The project positions the client to expand capabilities as adoption grows and reporting needs evolve.
