Methodology
Behind AgentBench stands a team of industry veterans, not just theorists.
Our experts come from top-tier technology companies, e-commerce, FMCG, and logistics sectors. We combine the scalability experience of large corporations with the agility of international startups.
We know how operations work on the ground. We don't test for "pretty answers" from an AI. We test how an agent handles real-world tasks under the constraints typical of logistics, retail, or finance.
Our expertise allows us to build universal and industry-specific tests that matter to the business, not just the IT department.
Our Focus:
Our focus is on business efficiency and the real impact of AI agents.
We ignore the parameter race. Instead, we measure what truly counts:
🚀 Speed: How much faster is the month-end close after agent implementation?
📉 Accuracy: How many errors does the agent reduce in order processing?
📈 Forecasting: How much more precise is the supply chain prediction?
AgentBench is a tool for CEOs, CFOs and COOs, not just CIOs.
We ignore the parameter race. Instead, we measure what truly counts:
🚀 Speed: How much faster is the month-end close after agent implementation?
📉 Accuracy: How many errors does the agent reduce in order processing?
📈 Forecasting: How much more precise is the supply chain prediction?
AgentBench is a tool for CEOs, CFOs and COOs, not just CIOs.
Methodology.
A test library built on real-world experience.
Leveraging our background in international markets and diverse verticals (FMCG, Logistics, Tech), we developed an evaluation framework that covers: Universal Skills: Communication, planning, data manipulation.
Industry Scenarios: Logistics chain specifics, FMCG inventory turnover requirements, financial reporting standards.
This allows us to evaluate agents in a business-ready context, without requiring deep integration with your closed-loop systems.
A test library built on real-world experience.
Leveraging our background in international markets and diverse verticals (FMCG, Logistics, Tech), we developed an evaluation framework that covers: Universal Skills: Communication, planning, data manipulation.
Industry Scenarios: Logistics chain specifics, FMCG inventory turnover requirements, financial reporting standards.
This allows us to evaluate agents in a business-ready context, without requiring deep integration with your closed-loop systems.
