GenerIA enables organizations to build and deploy sovereign, eco-responsible AI models tailored to their specific data and workflows. The platform ensures data privacy through on-premises or chosen cloud deployments and promotes sustainability with carbon-neutral operations and real-time ecological impact monitoring.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations face challenges in deploying AI solutions that are both tailored to specific data and workflows while also meeting stringent data sovereignty and environmental sustainability requirements. Existing AI platforms often necessitate data externalization or lack transparency in their operational footprint, hindering compliance with data privacy regulations and corporate ESG mandates.
Solution
GenerIA provides a platform for developing bespoke, sovereign, and eco-responsible AI models. These AI solutions are designed to be deployed on-premises or within a chosen cloud environment, ensuring data remains within the organization's secure perimeter. The platform emphasizes computational efficiency, resulting in carbon-neutral operations and providing real-time monitoring of ecological impact. GenerIA's AI can be integrated into existing applications and devices, offering enhanced productivity and direct access to source documents for transparent operations and auditable AI decision-making.
Target Audience
GenerIA targets enterprises and organizations seeking to leverage AI for productivity gains while adhering to strict data privacy, security, and environmental, social, and governance (ESG) objectives.
Features
- Bespoke AI model development tailored to organizational data and workflows.
- Sovereign deployment options, including 100% on-premises installation with no third-party data sharing.
- Eco-transparent AI operations with real-time CO2 impact dashboards and energy efficiency metrics.
- Embeddable AI capabilities for integration into various devices and applications, including voice models.
- Flexible deployment models, supporting both online and offline functionality.
- Direct access to source documents used by the AI for enhanced transparency and auditability.
- Customizable user interfaces for AI interaction, supporting conversational, chatbot, and machine-to-machine modes.
- Secure data handling compliant with privacy regulations such as GDPR, CCPA/CPRA, and PIPEDA.