If you're looking for a broad platform to build and deploy AI applications across many domains, Aible is a good option. It can deliver fast and secure generative AI applications at scale and reliability, and it's used by more than 1,200 companies around the world. It's geared for use cases like predicting customer churn, generating content, analyzing data, and optimizing sales, and it's used in marketing, finance and healthcare. The platform can be used for multiple tasks, including augmented data engineering and machine learning, and offers a free trial and flexible pricing.
Another good option is Dayzero, which offers hyper-personalized applications powered by custom Large Language Models (LLMs). Its platform includes products like Worx for deploying and scaling AI models, Altimo for intelligent dialogues and content generation, and Blox for automating tasks. Dayzero's applications are designed to optimize efficiency in many industries and can be integrated with big AI players like OpenAI and Azure OpenAI, and it's designed to meet data protection requirements.
If you're a developer who wants to build and run large-scale AI agents, Abacus.AI is a powerful option. It lets developers build applied AI agents and systems using generative AI and neural network technology. Features include predictive modeling, anomaly detection and personalization AI, with high availability and governance controls. The platform can automate complex tasks and forecast real-time data, and it's good for many business needs.
Last, Keywords AI offers a unified DevOps platform for building, deploying and monitoring AI applications based on large language models. It offers a single API endpoint for multiple models, can handle multiple calls without latency, and offers easy integration with OpenAI APIs. It's geared for AI startups, letting developers focus on product development instead of infrastructure, with features like visualization, logging and performance monitoring.