
Adaline
Prompt Engineering and Monitoring Tools
Adaline is the single platform to iterate, evaluate, deploy, and monitor LLMs.

What does Adaline do?
Is Adaline generally available, and are there API credits available?
Adaline is generally available and is currently offering $1 million in API credits.
What are Adaline's core pillars and how do they map to the workflow?
Adaline is built around four pillars: Iterate, Evaluate, Deploy, and Monitor. These pillars together describe the end-to-end lifecycle for building, testing, deploying, and operating AI-powered applications on the platform.
What features does Adaline offer for AI model iteration and evaluation?
- Sketch, test, and refine prompts using the Editor and Playground
- Compare models side-by-side across datasets and collaborate with automatic versioning and prompt management
- Automatic version history to track changes and revert to previous iterations
- Centralized prompt management across all LLM providers to ensure consistency
- Test prompts across multi-modal inputs, images, and dynamic RAG context in real-time to identify optimal configurations
How does Adaline support deployment and monitoring of AI applications?
- Seamless transition from draft to live deployments
- Analytics and gateway features to manage rollout
- Real-time insights, logs, and advanced analytics to monitor performance
- Tools to track reliability and continuously optimize deployed AI models in production
How does Adaline handle versioning and prompt management?
- Automatic version history captures every change
- You can compare iterations and revert to previous versions
- Centralized prompt management across all providers ensures consistency across AI applications
- Collaborative features to streamline teamwork around prompts and datasets
Does Adaline support multi-modal testing and dynamic variables?
Yes. Adaline lets you test prompts with different inputs and images and evaluate dynamic variables and RAG context in real time to find the best configurations for your use cases.
What resources and documentation does Adaline provide to help you build AI-powered apps?
- A library with case studies, applied research, cookbooks, expert insights, and practical guides
- Documentation, API references, and tutorials to help you maximize the platform’s capabilities
What are Adaline's scale and uptime figures?
- 200M+ API calls per day
- 5B+ tokens per day
- 300+ AI models
- Historical uptime: 99.998%
How do I get started with Adaline?
Visit the Adaline site and click Start for free to begin exploring the platform.
Last modifiedMay 25, 2026
Date listedJul 17, 2025