Tool · 510(k)

510(k) Predicate Finder

Find potential predicate devices for your 510(k) submission. Enter a K-number to find all clearances with the same product code, a three-letter product code to browse clearances directly, or search by device name.

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Describe your device and the Research Assistant searches 510(k)s, compares intended use, and drafts a predicate shortlist — with citations.

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Product Code: HKK FDA class 1

Telescope, Spectacle, Low-Vision

Ophthalmic

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The Low-Vision Spectacle Telescope is a telescopic optical system mounted in spectacle frames, designed for patients with low vision to provide magnification for intermediate or distance viewing tasks, such as watching television or recognizing faces. It is classified as FDA Class 1, the lowest risk category, subject only to general controls without a premarket notification requirement. The product code is HKK, regulated under 21 CFR 886.5870, within the Ophthalmic medical specialty. This device is exempt from Good Manufacturing Practice (GMP) requirements under 21 CFR Part 820.

510(k) Clearances

2 matches
K Number
Device Name
KEELER LVA SYSTEM MULTI-CAP SERIES LVA51-1/2/3/4/5
DUALENZ LOW VISION EYEWEAR

What is a Predicate Device?

A predicate device is a legally marketed device that a new 510(k) applicant uses to demonstrate substantial equivalence. The FDA's 510(k) pathway requires manufacturers to show that their device has the same intended use and similar technological characteristics as one or more predicate devices already cleared for commercial distribution.

Finding the right predicate is a critical step in 510(k) strategy. Manufacturers typically search for cleared devices with the same FDA product code, which groups devices by their intended use and regulatory classification. This tool helps you identify potential predicates by browsing all clearances within a product code.

Note that predicate devices must be legally marketed — they cannot be devices that were cleared but never commercialized, or devices subject to a mandatory recall. The determination of substantial equivalence considers intended use, technological characteristics, and performance data.

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