For advanced analytics and customization to support your enterprise requirements, check out ClearGPT. This secure, enterprise-ready platform combines generative AI and Large Language Models (LLMs) like ChatGPT without any data or IP leakage. It includes role-based access and data governance for privacy and control, as well as full customization to support unique use cases, easy integration with existing applications, and continuous fresh data for the most up-to-date AI.
Another great option is Abacus.AI, which lets developers create and deploy applied AI agents and systems at scale. It includes a variety of predictive and analytical capabilities such as forecasting, anomaly detection and personalization AI. The platform can automate complex tasks, forecast in real time and detect anomalies. It's designed for improving customer service, optimizing business processes and predicting sales and revenue.
If you prefer a self-hosted option, CodeComplete could be a good choice. This AI-powered coding assistant includes tools for code generation, automated unit testing, documentation, refactoring and migrations. It includes powerful analytics by logging data directly into the user's database, giving visibility into usage and performance. The platform also supports advanced features, self-hosted deployments and fine-tuning, making it a good fit for enterprise-level user management and governance.
Last, Credal offers a collection of tools to build secure AI applications using a company's own data. With point-and-click integration, pre-built and custom data connectors, and built-in security and access controls, Credal adheres to GDPR and HIPAA. It also includes Retrieval Augmented Generation (RAG) technology for building secure AI applications, making it a strong option for enterprise needs.