Baobab Inc. is proud to announce the launch of “BAO-VAL,” a new service that provides highly objective and transparent third-party Human Evaluation for generative AI model outputs.

 

When validating proprietary models or benchmarks against competitors, organizations often face the challenge of “internal evaluation bias.” BAO-VAL eliminates this bias, providing solid, objective evidence that serves as a reliable foundation for research papers, PR announcements, and internal executive reporting.

 

Leveraging over 15 years of expertise in data annotation and dataset construction, Baobab partners closely with clients right from the initial stage of crafting rigorous evaluation guidelines. This collaborative approach prevents the evaluation process from becoming a black box, while strongly supporting the identification of model weaknesses and driving iterative improvements.

 

We look forward to supporting the foundation of AI development through objective, high-fidelity evaluations, ultimately contributing to the practical deployment of better AI and accelerating innovation.

In conjunction with this launch, we have made a sample of our actual “evaluation dataset” and “evaluation guidelines” available to the public for free. We invite you to explore them below.

 

▶Service Page: https://baobab-trees.com/service/llm

▶Press Release (Japanese): https://prtimes.jp/main/html/rd/p/000000006.000112000.html