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The Problem
Prompt Experimentation
Always having to depend on software engineers to make code changes and run deployments to update prompt settings is keeping product teams back from iterating quickly.
Scalable Growth
AI startups need the right infrastructure and support to move from POC to production. Most existing tools lack the proper guardrails and security protection that allow startups to innovate responsibly and grow their customer base.
The Solution
Stop changing your product’s code whenever you need to update a prompt. Easily create, change, and experiment with prompts and models within a safe, low-risk test environment before you deploy them to production.
Version-controlled and context-aware prompt configurations
Mass experimentation and optimization
Support for 100+ models and tools
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You can’t scale by managing prompt data in Excel. Access a platform that lets you view, organize, store, and analyze prompt data generated from mass experimentation for continuous improvements.
Side-by-side overview to measure performance per prompt and model
Extract important insight into the cost, latency, and more of your deployments to gauge overall performance and iterate where needed
Optimize AI responses through feedback from human-in-the-loop annotations
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Don't depend on an engineer to iterate and innovate on your AI product. Confidently take experiments into production and stay in control of your product's performance.
Deploy experiments to production in seconds against guardrails that promote responsible AI development
Run beta and canary releases to measure performance per cohort before conducting mass releases
Iterate on your product and take it to market fast by testing and iterating on prompts in a no-code environment
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