If you need to get custom generative AI apps up and running fast and safely, Aible is a good choice. It offers fast and secure generative AI apps in less than 24 hours, with built-in scaling and reliability. Aible works in many industries and functions, including sales, marketing, finance and healthcare, and works with big cloud companies to keep data private and secure. With features like customer churn prediction, content generation and auto-improvement, Aible offers a broad foundation for running generative AI apps at enterprise scale.
Writer is another strong contender, a full-stack generative AI platform that can be used to deploy apps securely and at scale. With tools like Palmyra LLMs, Knowledge Graph, AI Guardrails and AI Studio, Writer lets companies generate high-quality output, tap into their own data and govern policies and compliance in a secure way. Its flexible deployment options and transparent, auditable code make it a good option for those who want to run AI in a cost-effective way.
If you need a secure, enterprise-scale foundation, ClearGPT is designed to address security and data governance concerns. It runs on a private network with no data or intellectual property leakage, with role-based access controls and data governance for privacy and control. It has a human reinforcement feedback loop and continuous fresh data for training AI that can adapt, making it good for automating workflows and boosting productivity without security risks.
Dayzero offers hyper-personalized apps powered by custom LLMs, and it's designed to run securely in your environment. With products like Worx, Altimo and Blox, Dayzero automates workflows and boosts productivity. It offers precision pre-training and custom application layer development, so it's a good choice for companies that want to train AI models for specific domains while complying with data protection regulations.