GobernAI
GobernAI provides an agentic AI platform that simulates public reactions to policy decisions before implementation, helping governments, parliaments, and political campaigns compare scenarios and assess legitimacy across population segments. The platform integrates evidence, multi-agent simulation, and human review into traceable briefings for decision-makers.
- Government Technology
- Artificial Intelligence
- AI Agents
- Data & Analytics
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Public officials and political organizations face complex decisions with limited capacity to anticipate how different population segments will understand, accept, or reject a policy before implementation. Traditional consultation methods are slow, expensive, and cannot easily test multiple alternative scenarios within tight decision cycles.
Solution
GobernAI provides a multi-agent artificial intelligence platform that simulates public reactions to policy decisions before they are implemented. Users configure territories, target populations, segments, and scenario conditions; the platform then generates a virtual population that reacts to decisions, alternatives, and explanations. The system organizes comparative scenarios, legitimacy readings, action routes, and traceable briefings that include recommendations, evidence, sources, and review status for decision-makers. Human review remains integrated throughout, ensuring institutional oversight and defensibility of outputs.
Target Audience
Primary customers are governments and public administrations, legislative chambers and parliamentary institutions, and political candidates and campaign teams across Europe and Latin America.
Features
- Three specialized environments: Executive (public agenda decisions), Parlamentario (legislative knowledge and analysis), and Elections (campaign daily operations)
- Multi-agent architecture that simulates a virtual population (ÁGORA) to measure comprehension, perceived legitimacy, rejection, sensitivity, and uncertainty by segment
- Configurable scenario conditions allowing teams to adjust parameters and re-query within the same decision cycle
- Traceable outputs identifying universe, method, sources, assumptions, and uncertainty; primary calibration requires a GobernAI-designed online survey or client-shared valid field work
- Comparative scenario analysis covering alternatives, restrictions, effects, trade-offs, and success conditions before resources are committed
- Action route generation with responsibilities, sequence, dependencies, flags, and next steps; briefing summaries with recommendation and evidence for authorities
- AEGIS social listening module integrated into institutional contexts