Your AI's new benchmark for excellence

Your AI's new benchmark for excellence

Your AI's new benchmark for excellence

Elevate your LLM's performance with De-Val, where decentralized evaluation meets unmatched quality.

Elevate your LLM's performance with De-Val, where decentralized evaluation meets unmatched quality.

Elevate your LLM's performance with De-Val, where decentralized evaluation meets unmatched quality.

Advanced Evaluation Metrics

_Evaluators focused on detecting hallucinations, correcting misattributions, and assessing summary completeness.


_Continuous addition of new evaluators based on community feedback and evolving needs.

Seamless Integration and Scalability

_Easy-to-use APIs for integration with existing systems.


_Scalable solutions designed to grow with your business needs.

Coming soon

Cost-Effective Solutions for SMBs

_Flexible pay-per-query API model, providing affordable access to advanced LLM evaluation tools.


_On-demand evaluation solutions to meet your benchmarking and quality needs.

Advanced Evaluation Metrics

_Evaluators focused on detecting hallucinations, correcting misattributions, and assessing summary completeness.


_Continuous addition of new evaluators based on community feedback and evolving needs.

Seamless Integration and Scalability

_Easy-to-use APIs for integration with existing systems.


_Scalable solutions designed to grow with your business needs.

Coming soon

Cost-Effective Solutions for SMBs

_Flexible pay-per-query API model, providing affordable access to advanced LLM evaluation tools.


_On-demand evaluation solutions to meet your benchmarking and quality needs.

Key features

Key features

An illustration from Carlos Gomes Cabral
An illustration from Carlos Gomes Cabral
An illustration from Carlos Gomes Cabral

01.

Hallucination Detection

Identify false or nonsensical outputs within LLM summaries.

02.

Misattribution Correction

03.

Summary Completeness

04.

Relevancy

01.

Hallucination Detection

Identify false or nonsensical outputs within LLM summaries.

02.

Misattribution Correction

03.

Summary Completeness

04.

Relevancy

01.

Hallucination Detection

Identify false or nonsensical outputs within LLM summaries.

02.

Misattribution Correction

03.

Summary Completeness

04.

Relevancy

About us

Our mission

At De-Val, we empower businesses and developers with decentralized, unbiased evaluation tools that enhance the reliability and accuracy of large language models. We set the standard for AI-generated content by addressing key challenges and ensuring AI solutions are trustworthy and effective.

Our mission
Our mission
Our mission
Our mission
Our vision

Our vision

We see De-Val as the leading platform for AI model evaluation, driving trust and innovation across industries. Our goal is to make AI evaluations accessible, transparent, and impactful — ensuring high-quality and reliable AI outputs that you can depend on.

FAQ

Why De-Val?

Why is traditional ML evaluation insufficient for generative AI and LLMs?

How does De-Val help companies benchmark and validate their LLM models?

How does our product generate and handle training data for its evaluation tasks?

Who can benefit from De-Val?

How can I participate?

Why De-Val?

Why is traditional ML evaluation insufficient for generative AI and LLMs?

How does De-Val help companies benchmark and validate their LLM models?

How does our product generate and handle training data for its evaluation tasks?

Who can benefit from De-Val?

How can I participate?

Why De-Val?

Why is traditional ML evaluation insufficient for generative AI and LLMs?

How does De-Val help companies benchmark and validate their LLM models?

How does our product generate and handle training data for its evaluation tasks?

Who can benefit from De-Val?

How can I participate?

Beta coming soon

© 2024. Designed by De-Val

Beta coming soon

© 2024. Designed by De-Val

Beta coming soon

© 2024. Designed by De-Val