The yardstick for AI in finance - calibrated for your sub-segment and your stack.

How we test, score, and publish

Yardstick Research is an independent software research and consulting agency for B2B AI tools. We test the tools ourselves, score them on outcomes that matter, and publish the results. Methodology in plain sight, so any board or risk committee can check our work. For banks, processors, asset managers, RIAs, embedded-finance platforms, lenders, and crypto firms, we weight Data Readiness and Tool Stack heavily because in financial services your existing core banking, identity, and fraud stack determines what AI you can actually deploy, and regulator-grade data hygiene is the precondition for production AI. Here's how that actually happens:

1. 01

   We evaluate every FinTech vendor on this list using public information and free-tier hands-on.

   Our researchers evaluate each vendor on the list using a defensible mix of inputs: vendor documentation and pricing pages, free-tier or trial-seat hands-on where the vendor offers one, video walkthroughs, third-party reviews (G2, Capterra, Gartner Peer Insights), published customer case studies, practitioner discussion (LinkedIn, Bank Innovation, Finovate coverage), and recent funding and news coverage. Where we can sign up and exercise the product directly, we do, and grade the output against a sample workflow: in the FinTech case, a fraud-alert triage, a know-your-customer document review, or a credit-decisioning explanation. We do not pay for paid tiers and we do not run a held-out fraud-detection benchmark through every tool. Both are cost-prohibitive at the scale this guide covers.

   Every claim in a tear-sheet is labelled MEASURED (free-tier hands-on observation, or output graded against a sample workflow), ESTIMATED (cost-per-seat efficiency derived from the vendor's pricing page and feature limits), or CITED (vendor-published or third-party benchmark, with the source linked).

2. 02

   We score on outcomes buyers care about, with weights we publish.

   Vendor decks sell features. FinTech operators actually buy outcomes: fraud losses that drop materially, onboarding flows that convert without crossing the SR 11-7 model-risk line, and a stack that survives FFIEC, NYDFS 500, BSA/AML, and OFAC review. We score five dimensions: Strategy & Use Cases, Data Readiness, Tool Stack, Team & Workflow, and Budget & Procurement. Industry benchmarks for mature FinTech operators sit at 70 / 75 / 60 / 70 / 80 percent of each dimension's maximum. The dimensions and benchmarks are public so your board can defend the pick, and so vendors can't quietly negotiate them. The audit also captures your operating baselines (fraud loss rate, net interest margin, non-performing loan ratio, onboarding completion, net-new-assets growth, AML false-positive rate) and fans return-on-investment scenarios out per selected baseline.

3. 03

   We publish. Vendors check facts. Affiliate links are disclosed.

   Every vendor receives their scored tear-sheet seven days before publication and can flag factual errors (wrong pricing tier, misquoted feature, integration listed as native that's actually via a third party). Rankings can't be appealed; only factual corrections are accepted. Where the guide links to a vendor's product, that link may earn us a commission. Disclosed on every page where the link appears. Vendors do not pay for inclusion, placement, or ranking.