The R&D tax credit for fintech companies

Building a fraud-detection model, a real-time risk engine, or a high-throughput payments system means resolving technical uncertainty in computer science and applied math. The four-part test is usually satisfied comfortably by the core engineering.

The experimentation is real: thresholds tuned against false-positive rates, architectures tested under load, models trained and discarded. That iterative work is what the credit rewards.

Software a company builds mainly to run its own operations is internal-use software, and it has to clear a higher three-part test on top of the usual four. An internal risk or reconciliation system can fall into this category.

It is not disqualifying, but it changes what you document. The fix is to identify internal-use components up front and show the innovation and economic risk the higher test requires.

A fintech claim is strongest when it separates customer-facing product work from internal systems, applies the right test to each, and carves out routine integration and compliance work.

R&D Binder does that scoping from the commit history and documents each component against the test that applies to it.

• What is internal-use software (IUS)?
• What is a business component?
• The Section 41 four-part test
• R&D tax credit for AI companies

• 26 U.S.C. § 41, credit for increasing research activities - Cornell Law School, Legal Information Institute
• Treas. Reg. § 1.41-4(c)(6), internal-use software high-threshold-of-innovation test - Cornell Law School, Legal Information Institute
• IRS, Instructions for Form 6765 - Internal Revenue Service