Multi-objective prompt optimisation for production LLM systems. Automatically find the optimal trade-off between cost and accuracy — in minutes, not weeks.
Manual prompt tuning doesn't scale. Engineers spend days tweaking prompts through trial and error, LLM inference costs spiral without clear benchmarks, and hallucinations erode user trust. EigenPrompt automates the process — systematically generating and evaluating hundreds of prompt variations to find what works best for your specific use case.
Set your evaluation criteria and choose your target LLM provider.
Provide your base prompt and test dataset.
EigenPrompt automatically generates and evaluates hundreds of prompt variations. Runs typically complete in 5–10 minutes.
Review results on an interactive Pareto frontier — visualising the precise trade-off between cost and accuracy for every variation.
Select your optimal prompt and ship with confidence.
Interactive cost-vs-accuracy visualisation for data-driven prompt selection. No more guesswork — see exactly where each variation sits on the efficiency curve.
Works across all major providers. Bring your own API keys and optimise on the models you actually use in production.
Quantitative scoring with expected outputs for classification and extraction tasks, or qualitative assessment using LLM judges with custom rubrics for open-ended outputs.
AES-256-GCM encryption at rest, TLS in transit, per-account key derivation. Your prompts and data stay yours.
Try EigenPrompt with a free trial — if we can't find a better prompt, your credit is refunded.
Try EigenPrompt