If you want a service that lets you plug AI models into your own projects with customization and analytics support, Abacus.AI is a good option. The platform lets developers create and run applied AI agents and systems at scale using generative AI and other neural network technology. It offers several products, including ChatLLM for creating end-to-end RAG systems, AI Agents for automating complex processes, and predictive and analytical tools like forecasting and anomaly detection. The service supports customization, model monitoring and explainable ML, so it's a good all-purpose foundation for adding AI to your apps.
If you need something fast and scalable, AIML API gives you access to more than 100 AI models through a single API. It offers serverless inference and a pay-by-token pricing model, which means it's economical for high scale and high reliability. The API is designed to be easy to integrate and has transparent documentation and billing, which is good for sophisticated machine learning projects.
Last, Instill is a no-code/low-code AI service that automates data, models and pipelines for generative AI. It includes options like speech responses, webpage summarization and visual assistance, and a drag-and-drop interface for custom pipelines. Instill supports open-source components and has SDKs for Python and TypeScript, so it's a good option if you want to add AI abilities without a lot of infrastructure hassle.