If you need a platform that lets you set up alerts and cost tracking for your AI projects, Athina could be a good choice. It's an end-to-end platform for enterprise GenAI teams that offers real-time monitoring, cost tracking and customizable alerts. Among its features are LLM Observability, Experimentation, Analytics, GraphQL API Access and flexible pricing for teams big and small.
Another contender is Openlayer. That's good for building, deploying and managing high-quality AI models, in particular large language models. It's got real-time error detection, automated testing, monitoring and alerts, plus versioning and tracking that can help you get your AI model development and deployment work done more efficiently.
If you prefer an analytics approach, Athena is an AI-native analytics platform that speeds up work by working in co-pilot or auto-pilot modes. It can integrate with Enterprise Data Warehouses, offer chat-based interfaces for querying and creating visualizations, and generate custom reports. That could be useful for data-driven decision making across your enterprise.
Last, Anyscale is a powerful platform for building, deploying and scaling AI applications. It's got workload scheduling, cloud flexibility and smart instance management that can help you optimize resource usage and cut costs. Persisted storage and Git integration make Anyscale good for a broad range of AI models, and it's got flexible pricing options including a free tier and customized plans for bigger businesses.