https://labs.taktile.com Open benchmarks, evaluation frameworks, and applied research for deploying AI in regulated financial institutions. en Tue, 29 Sep 2026 00:00:00 GMT https://labs.taktile.com/benchmarks/ubo-bench https://labs.taktile.com/benchmarks/ubo-bench Benchmark Tue, 29 Sep 2026 00:00:00 GMT Moritz Geist, David Ahn, Maximilian Eber, PhD A benchmark of AI agents that trace ownership structures for beneficial ownership checks on UK and German registers. Measures tracing accuracy across frontier models, importance of country specific configuration, and how much of the work agents complete on their own. https://labs.taktile.com/benchmarks/kybench https://labs.taktile.com/benchmarks/kybench#update-2026-09-07 Update Mon, 07 Sep 2026 00:00:00 GMT https://labs.taktile.com/benchmarks/pibench https://labs.taktile.com/benchmarks/pibench Benchmark Tue, 30 Jun 2026 00:00:00 GMT Koen Roelofs, Jakob Schmitt, Maximilian Eber, PhD The first benchmark of prompt-injection resistance for agentic underwriting. Measures defense success across 16 frontier models, three providers, and five attack vectors — with and without untrusted-content tagging. https://labs.taktile.com/benchmarks/kybench https://labs.taktile.com/benchmarks/kybench Benchmark Thu, 02 Apr 2026 00:00:00 GMT David Ahn, Maximilian Eber, PhD, Sahith Jagarlamudi The first public benchmark of AI-driven adverse media investigation. Evaluates detection accuracy, evidence quality, reliability across agent runs, and cost efficiency across frontier models. https://labs.taktile.com/benchmarks/finspread https://labs.taktile.com/benchmarks/finspread Benchmark Tue, 10 Mar 2026 00:00:00 GMT Nico Klees, Maximilian Eber, PhD The first public benchmark for agentic financial document processing. Evaluates extraction accuracy, cross-document reasoning, calculation correctness, and structured output quality across seven frontier models. Built on anonymized production data from financial institutions. https://labs.taktile.com/publications/ai-in-aml https://labs.taktile.com/publications/ai-in-aml Paper Sun, 01 Mar 2026 00:00:00 GMT Dustin Eaton, Maximilian Eber, PhD Why AML teams must now apply model risk management standards to AI systems. Published in ACAMS Today, exploring how regulators are extending MRM frameworks to AI deployed in compliance functions — and what institutions need to do to prepare.