The only LLM-based synthetic dataset-building and evaluation platform. Automatically generate golden question sets using high-quality default or custom metrics. Evaluate and enhance your LLM models and LLM-powered services with Datumo Eval.
Evaluating your LLM model starts with building a high-quality LLM evaluation question dataset. With Datumo’s advanced agentic flow, simply upload your source document, and we’ll generate industry-specific high-quality datasets tailored to your needs.
Set default and custom metrics for your LLM evaluation question datasets. Datumo Eval automatically assesses question quality and delivers domain-specific, intent-aligned results using our advanced agentic flow.
Multiple LLM Agents collaborate in question generation and evaluation to deliver more accurate and high-quality results. Experience Human Alignment that minimizes gaps between evaluation intent and automated outcomes.
Step 1
Automatically generate high-quality question sets based on the uploaded source document. Adjust questions according to your evaluation criteria
- Bulk question generation
- Custom evaluation criteria
- Assigned scores and rationale
Step 2
Evaluate generated questions based on your criteria. Select and/or add custom criteria for more precise adjustments
- Custom metrics addition
- Statistics and score distribution
With the rise of Large Language Models (LLMs), a new capability has emerged in the AI landscape: LLM agents. Distinct from traditional AI models that respond ···
The rise of large language models (LLMs) has revolutionized many industries, providing businesses with more efficient ways to retrieve and generate ···
In the rapidly advancing field of artificial intelligence (AI), Large Language Models (LLMs) have transformed various industries by offering powerful text ···
Asia's First & Largest Red Team Challenge
In partnership with the Korean government, Datumo hosted the 2024 AI Safety Conference with speakers from Cohere, Stability AI, and others. The event featured Asia's first Red Team Challenge
World's First Methodology
KorNAT*: The first LLM evaluation dataset on Korean social values and common knowledge, using a pioneering methodology. The paper, with Datumo as the 1st & 3rd authors, was published at ACL 2024.
*LLM Alignment Benchmark for Korean Social Values and Common Knowledge
Technology Patent
With expertise in LLM technology, Datumo has filed 47 patent applications in total and registered 16 patents as of 2024.
Evaluate the customization accuracy of product recommendation LLMs to increase customer conversion rates
Verify the accuracy and reliability of customer inquiry response LLMs to enhance the quality of financial services
Validate the response quality of personalized learning support LLMs to improve learning efficiency
Assess the accuracy and reliability of legal advisory LLMs to minimize legal risks
Evaluate the safety and accuracy of healthcare advisory LLMs to enhance patient trust
Test customer service LLMs for consistency and reliability to improve experience
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LLM Evaluation
Enhance the performance of your LLM-based services with Datumo Eval. Create questions tailored to your industry and intent, and systematically analyze model performance using custom metrics.