DataRobot AI Platform unifies generative and predictive workflows, letting you quickly build and deploy AI models with tight enterprise oversight and control. It provides end-to-end visibility and control, which is important for ensuring the security and governance of your AI models. DataRobot is a leader in the 2024 Gartner Magic Quadrant for Data Science and Machine Learning Platforms, with strong results including faster deployment and higher analytics productivity.
Another powerful option is Aible, which offers fast and secure generative AI applications. It controls access to both structured and unstructured data, and you can install custom generative AI applications in your own private cloud instance in minutes. Aible integrates with big cloud companies so your data remains private and secure, and it's a good option for business teams that want to use generative AI without having to know a lot of technical details.
Togeth offers a relatively low-cost way to quickly develop and deploy generative AI models. With optimizations like Cocktail SGD and FlashAttention 2, it accelerates AI model training and inference. Together also supports a broad range of models for different AI tasks and has scalable inference for high traffic, so it's a good option for those who want to build private AI models into their products without breaking the bank.
Last, Credal offers a collection of tools to build AI applications securely with your company's data. With built-in security, access controls and compliance features like automatic redaction of personally identifiable information and SOC 2 compliance, Credal ensures the security and governance of your AI models. It offers point-and-click integration with many data sources and custom data connectors, so it's easy to set up secure AI applications.