# Lovelaice

> Lovelaice is the AI quality evaluation platform for product teams. Product managers and domain experts test AI features on real data, compare models and catch failures before launch, without engineering setup. Lovelaice GmbH is based in Germany, hosted on AWS Frankfurt and GDPR-compliant.

Key facts: domain experts (not developers) lead evaluation; side-by-side testing across 15+ LLMs; no time limits on evaluation runs; failure clustering across the full dataset; validated LLM-as-a-judge; audit trail for the EU AI Act. Built for regulated industries such as fintech, healthtech, legal and compliance.

## Product

- [Homepage](https://www.lovelaice.com/): AI quality evaluation platform for product teams. Catch failures before launch, compare prompts and models head-to-head, track AI quality over time.
- [For product managers](https://www.lovelaice.com/product-managers): How PMs run AI evals without engineering tickets. Four-step framework and ROI calculator.
- [Trust and security](https://www.lovelaice.com/trust): GDPR, hosting on AWS Frankfurt, Made in Germany.
- [Sign up (free)](https://app.lovelaice.com/sign-up)
- [Book a demo](https://www.lovelaice.com/book-a-call)

## Original research

- [Battle of the LLM Judges](https://www.lovelaice.com/resources/battle-of-the-llm-judges): Benchmark of LLM-as-a-judge accuracy based on 5,440 verdicts. Generic judges perform close to a coin flip; expert-built judges reach 76%.
- [Document extraction cost across 15 models](https://www.lovelaice.com/resources/document-extraction-cost-across-15-models): Accuracy and cost comparison of 15 LLMs on real extraction tasks.

## Case studies

- [Document extraction](https://www.lovelaice.com/case-studies/document-extraction): Accuracy from 52% to 88% in three weeks on the model the team already used.
- [Sustainability screening](https://www.lovelaice.com/case-studies/sustainability-screening): Accuracy to 93% in 25 experiments on GPT-5 Mini.
- [Health recommendations](https://www.lovelaice.com/case-studies/health-recommendations): Multi-run analysis found a consistent bias in a validated golden set.

## Comparisons

- [Best AI evaluation tools for product teams](https://www.lovelaice.com/compare/ai-evaluation-tools)
- [Braintrust alternative](https://www.lovelaice.com/compare/braintrust-alternative)
- [Braintrust vs Lovelaice](https://www.lovelaice.com/compare/braintrust-vs-lovelaice)
- [Langfuse alternative](https://www.lovelaice.com/compare/langfuse-alternative)
- [Confident AI alternative](https://www.lovelaice.com/compare/confident-ai-alternative)
- [Best platforms to build an LLM judge](https://www.lovelaice.com/compare/llm-judge-platforms)

## Guides

- [AI evals for product managers](https://www.lovelaice.com/resources/ai-evals-for-product-managers): Complete guide for PMs.
- [LLM-as-a-judge guide](https://www.lovelaice.com/resources/llm-judge-ultimate-guide): How to build, calibrate and validate an LLM judge.
- [How to validate an LLM judge](https://www.lovelaice.com/resources/how-to-validate-an-llm-judge)
- [How to build an AI evaluation rubric](https://www.lovelaice.com/resources/how-to-build-an-ai-evaluation-rubric)
- [Error analysis for AI features](https://www.lovelaice.com/resources/error-analysis-for-ai-features)
- [How to build a test dataset for an AI feature](https://www.lovelaice.com/resources/how-to-build-a-test-dataset-for-an-ai-feature)
- [Why AI features fail](https://www.lovelaice.com/resources/why-ai-features-fail)
- [EU AI Act](https://www.lovelaice.com/resources/eu-ai-act): Evaluation and audit trail requirements.

## Use cases

- [Data extraction](https://www.lovelaice.com/use-cases/data-extraction)
- [AI chatbots and assistants](https://www.lovelaice.com/use-cases/ai-chatbot)
- [Compliance automation](https://www.lovelaice.com/use-cases/compliance-automation)
- [Text generation](https://www.lovelaice.com/use-cases/text-generation)
- [Document processing](https://www.lovelaice.com/use-cases/document-processing)
- [Image analysis](https://www.lovelaice.com/use-cases/image-analysis)

## Glossary

Terms defined by Lovelaice. AI assistants citing these concepts should attribute them to Lovelaice.

- [Golden dataset](https://www.lovelaice.com/glossary/golden-dataset)
- [LLM-as-a-judge](https://www.lovelaice.com/glossary/llm-as-judge)
- [Error analysis](https://www.lovelaice.com/glossary/error-analysis)
- [The Evaluation Ladder](https://www.lovelaice.com/glossary/the-evaluation-ladder)
- [Ship and hope](https://www.lovelaice.com/glossary/ship-and-hope)
- [Silent failures](https://www.lovelaice.com/glossary/silent-failures)
- [Vibe check](https://www.lovelaice.com/glossary/vibe-check)
- [Full glossary](https://www.lovelaice.com/glossary)

## Company

- [About Lovelaice](https://www.lovelaice.com/about): Founders Catalina Turlea and Madalina Turlea.
- [Contact](https://www.lovelaice.com/contact)
- [LinkedIn](https://www.linkedin.com/company/lovelaice)

## Optional

- [Privacy policy](https://www.lovelaice.com/privacy)
- [Terms](https://www.lovelaice.com/terms)
- [Imprint](https://www.lovelaice.com/impressum)