AgentBench is an independent platform for the objective evaluation of AI agent effectiveness within corporate environments. It prioritizes tangible business impact over model-centric technical metrics.

Our key differentiator is a skills-based assessment methodology: the system evaluates agents' ability to execute specific, real-world business tasks - such as report generation, resource planning, invoice processing, and other critical operational workflows - across both universal and industry-specific scenarios.

Developed by the seasoned DYC team - comprising experts from technology, e-commerce, FMCG, and logistics sectors with proven experience in enterprise corporations and international business expansions - AgentBench leverages deep practical insight to design robust, universally applicable, and industry-tailored tests. These assessments reflect genuine business pain points, not theoretical or lab-based scenarios.

The platform targets organizations where core success metrics include the measurable impact of AI agents on:
- Business process efficiency
- Operational risk mitigation
- Workforce productivity enhancement

AgentBench empowers businesses to validate AI agent performance where it matters most: in driving real operational value.