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Or Itzahary

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#artificial intelligence Preprint Sep 2026

Era by Eon: Benchmarking Enterprise Agents on Hidden Knowledge

In the Era by Eon benchmark, each question states the rules for its answer, and code computes the answer from a generated company's data. When agents can run code, the four strongest models each answer 22 to 25 of 27 such questions, so the benchmark barely separates them. We add eight question templates that depend on...

Benjamin Gruenbaum, Doron Porat, Assaf Natanzon et al. · 0 citations

#artificial intelligence Preprint Sep 2026

The Era by Eon Benchmark: A Generated Enterprise Estate with Exact Ground Truth for Benchmarking LLM Agents

LLM agents for enterprise systems of record cannot be evaluated on customer production data, and no existing substitute provides ground truth. We present the Era by Eon Benchmark for evaluating LLM agents that use enterprise tools. The benchmark is built around a complete fictional company. It includes product simulato...

Benjamin Gruenbaum, Doron Porat, Assaf Natanzon et al. · 3 citations