- Describe your company in one paragraph
Virtuona is a software company focused on developing intelligent platforms for individuals, small businesses and large enterprises. Its team members have been involved in cutting-edge research and providing outstanding solutions to international customers, among which Fortune 500 corporations. Virtuona develops AI-based software solutions for business optimization and data management built upon TasorSCAS – a semantic Knowledge Graph AI applications development platform in enterprise. Its flagship product is Tasor Planner™ – an intelligent system that makes planning and scheduling in manufacturing companies with complicated operations possible. Thanks to latest initiatives, TasorSCAS has grown into LLM agentic applications development platform integration on-premise edge with cloud. This way, agentic AI applications are easy, reliable and safe for adoption in enterprise.
- What challenge are you addressing under the O-CEI Horizon’s first Open Call, and how is your proposal relevant to the challenge?
The SAIHAN4EF targets Pilot 8, challenge 2 of the O-CEI Horizon call, focusing on increased social engagement and technical orchestration of resilience in urban area. It tackles the problem of energy flexibility management in decentralized environments by linking IoT data with human intentionality using semantic interoperability, agent Cloud-Edge-IoT workflow, and LLM-based NLP interaction.
The problem we solve is the limited adoption due to complexity of managing energy flexibility in a decentralized community environments – residential buildings, hotels, communities and tourist destination where raw IoT data is challenging to transform into clear and actionable instructions for the end users. Our proposed solution relies on semantic interoperability, agent-based Cloud-Edge-IoT architecture, and human-centric AI interactions. Ontology based semantic data enrichment ensures the development of a standardized semantic knowledge graph that facilitates interoperability and transparency. The novel agentic architecture features unique combination of reliable semantic reasoning with powerful LLM interaction. The application consist of a coherent combination of five intelligent agents. An LLM agent allows users to convert their natural language into semantic queries and turn human-like names into a fully optimized flexibility plan based on available devices and network limitations.
The relevance of our solution is reflected in three key aspects: modular adoption through existing agents, which reduces integration costs; seamless integration with existing devices and platforms, which avoids vendor lock-in; and a natural language interface that enables improved adoption by citizens, communities, and small tourism operators. In this way, SAIHAN4EF not only contributes to the technical goals of the Pilot 8 challenge, but also strengthens the O-CEI ecosystem through a reusable ontology, open APIs, and an agentic architecture. The solution benefits various stakeholders – prosumers, communities, energy companies and researchers – by providing transparent, explainable and interoperable data-driven flexibility management.
- What is the expected impact of your proposal?
The deployment of SAIHAN4EF is likely to result in a transformative experience in terms of how energy flexibility is managed and used by end-users. With its multi-layered semantic approach, AI interpretations are explainable through contextual semantics and physical constraints of devices, fostering transparency and trust. The Tasor Planner Agent deterministically creates plans that take into account not only the needs of users but also the necessities of the grid and capabilities of devices, thus ensuring not only effectiveness of the network but also the acceptance of the solution by end-users. LLM driven AI agents offer advanced analysis services such as forecasting, consumption pattern analysis, and anomaly detection, which allows providing recommendations and responding to changes in the environment quickly. Data standardization using knowledge graph facilitates integration between data, reasoning, and planning.
The SAIHAN4EF involves designing a solution that is scalable and ready for the market to provide flexibility services to future generations. This will add value to the O-CEI ecosystem through reuse of ontologies, agent modules, and open APIs, thus creating opportunities for innovation.
SAIHAN4EF benefits all stakeholders – consumers, communities, energy companies, researchers and tourism operators – by providing transparent, accountable and sustainable management of energy flexibility. It reduces peak loads, improves resilience and supports cooperatively driven demand response. Ultimately, SAIHAN4EF lays the foundation for future energy systems that are flexible, user-centric, environmentally responsible, and ready for large-scale adoption.
