NFANT® Feeding Solution is intended to measure movement of the nipple during non-nutritive suck (NNS) or nutritive suck (NS).
Device Story
NFANT Feeding Solution measures infant nipple movement during non-nutritive and nutritive sucking. System consists of portable electronics unit (SSB Sensor), single-use bottle coupling (Coupling), and mobile application. Coupling connects to standard bottle/pacifier nipple; membrane separates fluid from pressure sensors in sensor housing. Sensor captures nipple movement data via pressure sensors and transmits wirelessly to mobile app. App displays data for clinician interpretation; data can be stored/retrieved via cloud database (DBMS). Used in clinical settings by clinicians to assess infant oral feeding coordination (sucking, swallowing, breathing). Provides objective data to inform clinical decision-making regarding feeding progress and maturation.
Clinical Evidence
Bench testing only. Included biocompatibility testing per ISO 10993-1, verification of pressure seals, calibration of pressure inputs, measurement of nipple dynamics, and validation of accelerometer tilt readings. Software verification and validation performed for embedded firmware, mobile app, and web portal. Shelf life testing conducted via accelerated aging.
Technological Characteristics
System includes portable electronics unit (SSB Sensor), single-use plastic coupling, and mobile app. Sensing principle: pressure sensors separated from fluid by two-compartment membrane. Power: non-rechargeable coin cell battery. Connectivity: wireless transmission to mobile device and cloud database. Non-sterile. Software: embedded firmware, mobile app, and web-based database management system.
Indications for Use
Indicated for infants to measure nipple movement during non-nutritive (NNS) and nutritive (NS) sucking sessions to assist clinicians in assessing oral feeding coordination.
Regulatory Classification
Identification
A biofeedback device is an instrument that provides a visual or auditory signal corresponding to the status of one or more of a patient's physiological parameters (e.g., brain alpha wave activity, muscle activity, skin temperature, etc.) so that the patient can control voluntarily these physiological parameters.
Special Controls
*Classification.* Class II (special controls). The device is exempt from the premarket notification procedures in subpart E of part 807 of this chapter when it is a prescription battery powered device that is indicated for relaxation training and muscle reeducation and prescription use, subject to § 882.9.
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Food and Drug Administration 10903 New Hampshire Avenue Document Control Center - WO66-G609 Silver Spring, MD 20993-0002
September 9, 2015
NFANT Labs, LLC % Julie Stephens Consultant Regulatory Resources Group, Inc. 111 Laurel Ridge Drive Alpharetta, GA 30004
K143507 Re: Trade/Device Name: NFANT® Feeding Solution Regulation Number: 21 CFR §882.5050 Regulation Name: Biofeedback device Regulatory Class: II Product Code: HCC Dated: August 6, 2015 Received: August 7, 2015
Dear Julie Stephens,
We have reviewed your Section 510(k) premarket notification of intent to market the device referenced above and have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food. Drug. and Cosmetic Act (Act) that do not require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies.
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You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 801); medical device reporting (reporting of medical device-related adverse events) (21 CFR 803); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820); and if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
If you desire specific advice for your device on our labeling regulation (21 CFR Part 801), please contact the Division of Industry and Consumer Education at its toll-free number (800) 638-2041 or (301) 796-7100 or at its Internet address
http://www.fda.gov/MedicalDevices/ResourcesforYou/Industry/default.htm. Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR Part 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to
http://www.fda.gov/MedicalDevices/Safety/ReportaProblem/default.htm for the CDRH's Office of Surveillance and Biometrics/Division of Postmarket Surveillance.
You may obtain other general information on your responsibilities under the Act from the Division of Industry and Consumer Education at its toll-free number (800) 638-2041 or (301) 796-7100 or at its Internet address
http://www.fda.gov/MedicalDevices/ResourcesforYou/Industry/default.htm.
Sincerely yours,
# Herbert P. Lerner -S
Benjamin R. Fisher, Ph.D. for Director
Division of Reproductive, Gastro-Renal, and Urological Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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# Indications for Use
510(k) Number (if known) K143507
Device Name NFANT® Feeding Solution
Indications for Use (Describe)
NFANT® Feeding Solution is intended to measure movement of the nipple during non-nutritive suck (NNS) or nutritive suck (NS).
Type of Use (Select one or both, as applicable)
X Prescription Use (Part 21 CFR 801 Subpart D)
| Over-The-Counter Use (21 CFR 801 Subpart C)
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# NFANT Labs. LLC Traditional 510(k) # K143507 - NFANT® Feeding Solution
# 510(k) SUMMARY
This 510(k) summary of safety and effectiveness information is being submitted in accordance with the requirements under 21 CFR 807.92.
| Submitted By: | NFANT Labs, LLC<br>817 West Peachtree St. - Suite 320<br>Atlanta, GA 30308<br>Phone: (404) 395-0725 |
|---------------------------------|-----------------------------------------------------------------------------------------------------|
| Contact Person: | Julie Stephens - Regulatory Resources Group, Inc.<br>Regulatory Consultant |
| Date Submitted: | August 6, 2015 - Revised September 3, 2015 |
| Device Name and Classification: | |
| Trade/Proprietary Name: | NFANT® Feeding Solution |
|-------------------------|-----------------------------------|
| Common Name: | Infant Feeding Measurement Device |
| Classification Name: | Biofeedback Device |
| Product Code: | HCC |
| Regulation and Class: | 21 CFR 882.5050; Class II |
# Legally Marketed Predicate Device:
NTrainer System® - KCBioMedix, Inc. (now owned by Innara Health) - 510(k) # K071866
## Device Description:
NFANT® Feeding Solution is comprised of a portable multi-use electronics unit (NFANT SSB Sensor) powered by a non-rechargeable coin cell battery, single use bottle coupling (NFANT Coupling) and mobile application which acts as a user interface and data display (NFANT App). Nipple movement data during Non-Nutritive Suck or Nutritive Suck is transmitted to a mobile device and displayed for clinician interpretation from past feedings can also be securely transferred, stored and retrieved by authorized users from a cloud based database (NFANT DBMS) for comparisons between feedings.
When in use, the NFANT Coupling has a commercially available or prescribed bottle or pacifier nipple placed on one end and a normal bottle on the other. The NFANT SSB Sensor is snapped in place to mate with the NFANT Coupling. The user "wakes-up" (activates) NFANT SSB Sensor for streaming and data collection. An infant then undergoes normal nonnutritive sucking with a pacifier (no liquid swallow) and/or nutritive sucking with a bottle nipple during normal feeding sessions (liquid swallow). Nipple movement data is garnered and displayed on the mobile application for clinical interpretation. Safe oral feeding requires coordination of sucking, swallowing and breathing which involves integration, maturation and coordination of multiple sensorimotor systems. NFANT provides clinicians with objective data reqarding nipple movement during non-nutritive (NNS) and nutritive sucking (NS).
As the infant sucks, the NFANT Coupling allows bottle fluid (when applicable) to flow from the bottle to the nipple. The NFANT Coupling maintains a plug insert that provides a two compartment membrane sealing the NFANT Coupling and separating the bottle fluid from pressure sensors contained in the NFANT SSB Sensor housing. With assembly, ports on the NFANT SNAP housing engage each respective membrane creating a seal between the
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# 510(k) SUMMARY
NFANT SSB Sensor and NFANT Coupling while also creating two sealed chambers between the membrane and a respective pressure sensor.
NFANT has one disposable component, the NFANT Coupling that comes in contact with the fluid. After a single use by a patient, the NFANT Coupling is disposed of in waste. The NFANT SSB Sensor does not come in contact with the feeding fluids and is reused specific to the infant with each NFANT Coupling usage. The NFANT App component is software only. NFANT is sold non-sterile.
#### Indications for Use:
NFANT® Feeding Solution is intended to measure movement of the nipple during nonnutritive suck (NNS) or nutritive suck (NS).
#### Similarities and Differences to the Predicate Devices:
#### Similarities
Most of the same types of materials (plastics, electronics, etc.), the same performance functions, and the same indications for use specific to the passive assessment of nonnutritive suck are used in NFANT Feeding Solution and the predicate device. Both the NFANT and the predicate device couple with commercially available pacifier nipples and they both use pressure sensors located within the electronics unit coupled onto the pacifier nipple to make passive assessment measurements of infant non-nutritive sucking (NNS). Both the NFANT Feeding Solution and the predicate device display the NNS data for clinician interpretation or assessment on a computing device.
## Differences
The differences in materials (plastics, electronics, etc.) and performance functions does not affect the safety and efficacy of NFANT Feeding Solution in comparison with the predicate device. The NFANT Feeding Solution indications for use include passive assessment measurements during nutritive suck (NS) because the NFANT Feeding Solution is not limited to just pacifier nipple use but the predicate device is limited to only pacifier nipple use. The NFANT sensors never come in contact with feeding fluid so it can be used with a bottle nipple coupled with fluid bottle. The NFANT Feeding Solution has separate sensors for nipple movement and ambient pressurement. The predicate product's sensors only come in contact with air within the nipple (i.e., measurement) and do not couple with bottles for feeding. NFANT sensors also only come in contact with air but are located outside of the nipple cavity separated by a membrane. Transmission is wireless and NFANT SSB Sensor is powered only by a coin cell battery rather than plugging into a powered motorized cart unit as is required with the predicate device. The NFANT Feeding Solution is a passive measurement system. The predicate device measures and has an "active therapy" mode which alters pressure dynamics.
## Summary of Testing:
The NFANT Feeding Solution was tested as directed by FDA guidance under ISO 10993-1 biocompatibility requirements and passed. Bench testing completed for the NFANT Feeding Solution included preliminary tests to 1) Verify proper seals of the NFANT SSB Sensors and NFANT Assembly to enable pressure measurements; 2) Calibrate known pressure inputs to NFANT SSB Sensor output; 3) Measure nipple dynamics for clinical interpretation; and 4) Validate accelerometer tilt readings to known angular inputs to determine NFANT Assembly
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# NFANT Labs. LLC Traditional 510(k) # K143507 - NFANT® Feeding Solution
# 510(k) SUMMARY
orientation. Shelf life testing was completed under accelerated aging and will continue under real time aging. Software verification and validation included testing for the three software components for the NFANT Feeding Solution specific to the embedded firmware, the NFANT App, and the Web Portal used within the NFANT Database and Management System.
## Substantial Equivalence Conclusions:
All of the testing results for the NFANT Feeding Solution passed within the acceptance parameters and demonstrated a safe and reliable device for measuring nipple movement of the nipple using pressure sensors. The NFANT Feeding Solution will consistently and accurately make these measurements and display them for the clinician to interpret during non-nutritive suck (NNS) or nutritive suck (NS). While the predicate device, in addition, is active in that it alters pressure dynamics through use of air inflation to the pacifier nipple, the additional feature of the predicate device does not change the substantial equivalence that both devices assist the clinician in their assessment of the premature infant's ability to suck through nipple movement.
Two short videos show you everything — or skip straight to the written tutorial if you'd rather read. You can reopen this any time from the Tutorial button in the top bar.
Part 1 — Search, results, and everyday workflows 16 min
Part 2 — Embeddings: the galaxy map 3 min
1. Search: exact and fuzzy
Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
Use the checkboxes above the results to narrow: SaMD keeps only software-only devices, AI / ML keeps only devices with AI.
Exact vs. fuzzy search: what's the difference?
Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.