If you want an AI system that puts you in control of your data, models and stack for the highest security and privacy, Kaba is a good choice. Kaba lets you create, manage and update your own custom Human-like Models (HLMs) in real time, which are trained to learn and adapt as you interact with different data sources. With its dynamic AI application, full data and model ownership, and contextual data generation, Kaba gives you control over your data while delivering fast, secure and personalized AI experiences.
Another interesting option is ClearGPT, an enterprise-focused alternative designed to address security, performance, cost and data governance challenges. ClearGPT has role-based access and data governance controls to protect privacy and control, and it has a human reinforcement feedback loop and continuous fresh data to learn from users. It also can be easily integrated into existing applications so there's no data and IP leakage, making it a good option for corporate AI needs.
If you're a business looking for private and secure AI models you can integrate with your own systems, Signature offers custom-built AI solutions. The platform includes private AI model training, data set preparation, API integration and digital asset management so businesses can tap into the full potential of generative AI while keeping control over their intellectual property.
Last, Credal is a collection of tools to build secure AI applications with a company's own data. With point-and-click integration, permission controls and automatic redaction of personally identifiable information, Credal helps you comply with security requirements and build AI applications that fit into your workflow. Its built-in security and compliance features make it a good option for businesses that need strong data protection.