Benchmarks

Realistic benchmarks for financial AI.

We evaluate AI models on the tasks that matter most to financial institutions—using real data, realistic scenarios, and the metrics that are most relevant for the domain.

KYBench - Adverse Media Search

Updated Apr 2, 2026

Evaluating AI agents for adverse media research in Know Your Business reviews. Tests how well AI systems investigate regulatory red flags, fraud history, and sanctions violations across real businesses.

David AhnMaximilian Eber, PhDSahith Jagarlamudi

David Ahn, Maximilian Eber, PhD, Sahith Jagarlamudi

Task types

  • Web investigation
  • Adverse media detection
  • Evidence quality
  • Risk calibration

Data source

47 real businesses annotated by expert compliance practitioners

Evaluation method

Elo ratings, Adj F1, and RAIS evidence quality scoring

Last updated

2026-04-02

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FinSpread-Bench

Updated Mar 10, 2026

The first public benchmark for agentic financial spreading. Evaluates how well AI systems extract, calculate, and reason across financial documents—like bank statements, tax returns, payslips, and financial spreads—in real-world decision scenarios.

Nico KleesMaximilian Eber, PhD

Nico Klees, Maximilian Eber, PhD

Task types

  • Extraction
  • Cross-document reasoning
  • Calculation
  • Structured output

Data source

Anonymized data from Taktile co-development partners

Evaluation method

Automated metrics and expert human evaluation

Last updated

2026-03-04

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