Summary
- Profile Type
- Technology offer
- POD Reference
- TOGR20260806006
- Term of Validity
- 6 August 2026 - 6 August 2027
- Company's Country
- Greece
- Type of partnership
- Commercial agreement with technical assistance
- Targeted Countries
- All countries
General information
- Short Summary
- A Greek software company offers an AI-assisted platform for designing, running and evaluating multi-organisation crisis exercises. It creates scenarios from Standard Operating Procedures., doctrines and operational documents, simulates specialist roles, delivers decision-focused injects, and records actions for assessment and after-action review. Field-tested in multiple exercises, the company seeks international customers, technology partners, pilot users and R&D cooperation.
- Full Description
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Crisis preparedness depends on practising decision-making, communication and coordination before an emergency occurs. Yet exercises require time, cost and specialist effort to design, deliver and evaluate, especially when several organisations are involved. The platform addresses these challenges by supporting the exercise lifecycle in one digital environment, enabling remote execution. It is intended for public authorities, emergency services, critical infrastructure operators, training organisations.
The solution enhances Tabletop and Functional Exercises focused on strategic and tactical decisions. It can also support field exercises through scenario design, management and evaluator observations.
Each scenario reflects the participating organisations and how they operate. Organisations can be represented through roles, locations, equipment and communication channels. Models can be stored, reused and adapted without altering the original.
Scenario authors may build an exercise manually or use the AI-Assistant to create a first draft. They define the incident, training focus, duration and difficulty. They may also upload plans, procedures, regulations, risk assessments and local information. The AI can then propose an editable structure, objectives, phases, injects, timeline, decision points, evaluation criteria and required roles.
By analysing objectives, responsibilities and source documents together, the AI-Assistant can improve consistency, identify gaps and dependencies, and suggest alternatives. Experts remain fully in control.
The scenario unfolds through phases and structured injects. An inject prompts participants to decide, act, coordinate or assess. It may be an event, report, message, social-media post, equipment update or communication disruption. They can be delivered through simulated radio/TETRA, telephone and social feeds. For each inject, the author defines the sender, recipient, channel, message, timing and the objective or criterion being tested. This creates a connected sequence of decisions and consequences rather than a static narrative.
Alternative developments can be prepared for key decision points, while trainers decide which injects to release. Participants can staff the roles being tested, while controllers or a simulation cell represent absent specialist roles. This enables small groups to train in a credible multi-agency environment.
During execution, trainers can release, delay, withhold or adapt injects and update vehicles or equipment in response to decisions. Communications and actions are preserved in a timestamped log, showing available information, communications, decisions and subsequent actions.
Evaluation is integrated into the process. Objectives and decisions can be linked to criteria such as timeliness, uncertainty management, doctrine and justification. Evaluators can review the record and organise findings into strengths, improvement areas and corrective measures.
The AI analysis function can examine messages, injects and evaluator notes to identify response times, communication patterns, information flows, critical decisions and outcomes. It can assist in producing a structured evaluation and after-action report, while evaluators validate conclusions and recommendations.
Reusable models, scenario content and lessons from previous exercises make training easier to repeat and adapt, supporting more frequent practice and continuous improvement.
Applications include wildfires, floods, earthquakes, industrial accidents, cyber incidents, transport disruptions, port and airport emergencies, critical infrastructure failures, public-health emergencies and complex security events. Scenario Builder has been field-tested with emergency-response practitioners in multiple exercises, including EU-funded research projects, supporting development in realistic multi-organisation settings. - Advantages and Innovations
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The platform combines activities that are often managed through separate documents, spreadsheets, emails and presentations. The same environment is used to define objectives and evaluation criteria, prepare the scenario, run the exercise, record communications and actions, and organise evidence for evaluation. This creates a clear link from what the exercise is intended to test, through the decisions that participants are called upon to take, to the evidence available for after-action review.
The AI-Assistant is grounded in the objectives, participating organisations and documents selected for the exercise rather than relying on a generic incident prompt alone. The AI-Assistant can prepare a coherent starting point, connect injects and decisions to what is being tested and draw attention to issues that require expert consideration. This improves the authoring process while keeping trainers and subject matter experts in control.
The reuse of organisational models and scenario content can reduce repeated preparation and make exercises easier to tailor to another location, risk or training goal. Trainers can represent absent organisations, deliver information through simulated operational channels and change injects or asset status as the exercise develops. Together with digital execution and evaluation support, this can significantly reduce the time and coordination effort needed to increase and repeat training, helping organisations address a broader range of crisis-specific risks. - Stage of Development
- Already on the market
- Sustainable Development Goals
- Goal 11: Sustainable Cities and Communities
- Goal 16: Peace and Justice Strong Institutions
- IPR status
- IPR granted
Partner Sought
- Expected Role of a Partner
-
The company seeks local, regional and national authorities, civil protection bodies, fire and rescue services, police and emergency medical services, municipalities, critical infrastructure operators, crisis-management institutions, business-continuity teams and training academies interested in first commercial deployments. Under a commercial agreement with technical assistance, the partner would define the operational use case, provide relevant organisational and procedural information, nominate users and subject-matter experts, and participate in configuration, training and exercise preparation. The Greek company would provide platform access, configuration, onboarding, product training, technical assistance and implementation support.
The company also seeks, emergency-management consultancies, training providers and commercial partners with established access to the target sectors. Such partners could support business development, local implementation, translation, adaptation to national or organisational requirements, training and first-line customer support. The Greek company would provide the software, technical documentation, product training and specialist support. The objective is to establish initial commercial deployments and repeatable delivery partnerships.
For research and development cooperation, the company is interested in universities, research organisations, public authorities, emergency-response bodies and technology companies. Cooperation could include testing new use-cases, improving exercise and evaluation methods, developing integrations or additional AI-Assisted functions, localizing the platfrom or participating in European and national research projects. - Type and Size of Partner
- SME 11-49
- Other
- SME 50 - 249
- Big company
- Type of partnership
- Commercial agreement with technical assistance
Dissemination
- Technology keywords
- 01003008 - Data Processing / Data Interchange, Middleware
- 01003022 - Smart Appliances
- 01003016 - Simulation
- 01003003 - Artificial Intelligence (AI)
- 01003013 - Information Technology/Informatics
- Market keywords
- 02007020 - Artificial intelligence programming aids
- 02007008 - Business and office software
- 02007016 - Artificial intelligence related software
- 09002004 - Security and commodity brokers and services
- 02007001 - Systems software
- Targeted countries
- All countries