Generative AI software infrastructure from developers to developers. Easy to manage, develop on top of, and deploy where your data is.
Centria Chooses Us for Its Generative AI Platform
With ConfidentialMind you can skip months of engineering work, while still using components from your chosen cloud vendor, resulting in cost savings and quicker time to market.
Generative AI for Enterprises Is Complex
Easy Integration for Software Developers
Not Just a Test Playground, but an All-in-One Enterprise AI Platform In Your Environment
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Deploy In Any Environment
Deep Integration
What Can You Do with ConfidentialMind?
Manage the complete generative AI application lifecycle from tests and PoCs to production-grade applications. Configure data permissions, models, and user groups quickly in the ConfidentialMind portal.
Build generative AI application pipelines that help your team quickly debug complex industrial equipment based on your internal confidential material, such as CAD drawings and manuals.
Automate existing enterprise processes by creating new custom applications or bring generative AI capabilities to existing legacy applications, no matter where they are deployed, whether on-premises or the cloud.
Build closed-loop internal co-pilots based on the most sensitive internal documentation and software code. Deploy LLM models, object storage, databases, and other required components with a click of a button. No data leaves your environment.
Combine multiple AI models, databases, and data sources to form use case-specific pipelines. Host your stack in one cloud and use models from another. Test prompt combinations and change underlying models on the fly from a easy-to-use admin panel.
Frquently Asked Questions
Every government and nation needs to have full control over their proprietary data while still leveraging AI capabilities. What does that mean? There is a critical need for AI sovereignty, which involves developing, deploying, and hosting generative AI applications safely and securely, especially in environments where it is typically hard to do so, such as in your own data center.
The most crucial downside is that you cannot place sensitive information in the public cloud due to data protection concerns, such as the potential for IP leaks and legal regulations.
• Create internal search tools for highly confidential data
• Automate processes in your custom software systems such as ERPs
• Automate report generation and inspection
• Create internal chat interfaces for employees
• Control and manage your own LLM-agents (Coming soon)
Our product includes all your software developers need to build and integrate generative AI capabilities in your own data centers, with your own proprietary data and on top of your own infrastructure: models, vector databases, data connectors, and prototyping tools. Deploy any containerized workload and connect micro-services together efficiently and securely.
ConfidentialMind's stack is specialized for on-premises data centers but also works in any environment. Operate it on your own servers, any cloud, or hybrid deployments.