Datumo Eval is a synthetic dataset-building and evaluation platform that utilizes LLM-based technology to automatically generate high-quality question sets tailored to specific industries. It addresses the need for accurate evaluation of LLM models by providing customizable metrics and systematic analysis to enhance model performance and reliability.
Funding
Funding not disclosed
Founders
Product
Problem
Evaluating large language models (LLMs) requires high-quality, domain-specific datasets, which are often time-consuming and expensive to create manually. Existing evaluation methods may lack the granularity and customization needed to accurately assess LLM performance across diverse industries and use cases.
Solution
Datumo Eval is an LLM evaluation platform that automates the generation of synthetic datasets tailored to specific industries and evaluation criteria. The platform uses an advanced agentic flow, where multiple LLM agents collaborate to generate high-quality question sets from uploaded source documents. Users can define custom metrics to evaluate question quality and systematically analyze model performance, ensuring that LLMs are accurate, reliable, and aligned with specific business needs. Datumo Eval helps organizations enhance the performance of their LLM-powered services by providing a customizable and efficient evaluation process.
Target Audience
Datumo Eval targets organizations across various industries, including legal, healthcare, customer service, e-commerce, finance, and education, that are developing or using LLM-powered services and need to ensure their accuracy, reliability, and alignment with specific business requirements.
Features
- Automated generation of high-quality, industry-specific evaluation datasets from uploaded source documents
- Customizable evaluation criteria and metrics to assess question quality and LLM performance
- Advanced agentic flow with multiple LLM agents collaborating on question generation and evaluation
- Human alignment features to minimize gaps between evaluation intent and automated outcomes
- Statistics and score distribution for detailed analysis of evaluation results
- Bulk question generation and adjustment capabilities