Nexcomp is intended to restore carious lesions or structural defects in teeth. It is indicated for Class I, II, IV, and V restorations, core-buildup to replace missing tooth structure, for splinting and for diastema closure, direct veneers, composite and porcelain repairs. Meta Etchant is intended for use in dentin/enamel etching to prepare the tooth surface for application of a bonding agent.
Device Story
Nexcomp: light-cured hybrid composite restorative material; 75 wt.% filled with ultra-fine filler and 40 nm silica particles; radiopaque; used by dentists for cavity preparations, restorations, and structural repairs; bonds micromechanically and chemically to tooth surfaces and adhesives via air-inhibited layer; supplied in tubes for screw-syringe application. Meta Etchant: thickened, colored phosphoric acid semi-gel; used by dentists to etch dentin/enamel surfaces to facilitate bonding agent, cement, or restorative material adhesion. Both devices are used in clinical dental settings to restore tooth structure and improve restorative material retention.
Clinical Evidence
Bench testing only. Compliance with ISO 4049:2000(E) for polymer-based filling, restorative, and luting materials. No clinical data provided.
Technological Characteristics
Nexcomp: Light-cured hybrid composite, 75 wt.% filled, 40 nm silica particles, radiopaque. Meta Etchant: Phosphoric acid-based thickened semi-gel. Both devices are manual, non-electronic, and non-software based. Nexcomp complies with ISO 4049:2000(E).
Indications for Use
Indicated for patients requiring dental restorations (Class I, II, IV, V, core-buildup, splinting, diastema closure, veneers, repairs) or dentin/enamel etching prior to bonding agent application. No specific age or gender contraindications provided.
Regulatory Classification
Identification
Tooth shade resin material is a device composed of materials such as bisphenol-A glycidyl methacrylate (Bis-GMA) intended to restore carious lesions or structural defects in teeth.
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K080305
510(k) SUMMARY (Nexcomp)
APR - 7 2008
Submitter: Tae-Hoon Kim, Manager QM, Meta Biomed Co., Ltd. Cheongwongun Chungbuk, Korea. Tel: 82-43-218-1983.
Classification Name and Number: Tooth Shade Resin Material, Class II, EBF.
Common/Usual Name: Composites, restoratives.
- 1. Proprietary Name: Nexcomp
- II. Registration No .: 9681254
- lll. Compliance with Performance Standards: Nexcomp complies with ISO 4049:2000(E), Polymer-based filling, restorative, and luting materials. Also, followed "Guidance for Industry and FDA Staff; Dental Composite Resin Devices - Premarket Notification [510(k)] Submissions"
- IV. Description of the Device: Nexcomp is a highly filled (75 wt.%), light-cured hybrid composite. The material is radiopaque and indicated for all types of cavity preparations. The hybrid blend has an ultra fine filler and 40 nm silica particles. Nexcomp will be marketed in incisal, body translucent, and body opaque shades which correspond with the Vita shade guide.
Nexcomp bonds micromechanically and chemically to prepared tooth surfaces, dental primers and bonding resin adhesives through copolymerization of its air-inhibited layer. It's color can be matched with various shades of standard color quides. It is available in tubes which are designed to be fitted into a screw-syringe with a body cap seal.
- V. Labels and Labeling: Draft labels of Nexcomp and instructions for use are provided, together with warnings and contra-indications.
- VI. Substantial Equivalence: These devices are equivalent to devices manufactured and sold before 1976, having a U. S. classification number (code) EBF, and those described under 21 CFR 872.3690. Each is also equivalent to several devices currently on the market that have been cleared by the premarket notification-510(k) process. Some of these are outlined below:
- 1. K070583, Nano Composite, Cosmedent, Inc.,
XI.
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- 2. K052097, Ceram X Universal Mano-Ceramic Restorative, Dentsply, Inc.
- 3. K003361, Renew LS-2, Bisco, Inc.,
- 4. K982729, Renew, Bisco, Inc.
The "510(k) "Substantial Equivalence" Decision-Making Process (Detailed) from ODE Guidance Memorandum #86-3 was followed.
(End of Summary)
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K080305
APR - 7 2008
## 510(k) SUMMARY (Meta Etchant)
Submitter: Tae-Hoon Kim, Manager QM, Meta Biomed Co., Ltd, Cheongwongun Chungbuk, Korea. Tel: 82-43-218-1983.
Classification Name and Number: Tooth Shade Resin Material, Class II, EBF.
Common/Usual Name: Etching gel.
- Proprietary Name: Meta Etchant. 1.
- 11. Registration No.: 9681254
- Compliance with Performance Standards: There appear to be no III. applicable standards for etching gels, however, we followed "Guidance for Industry and FDA Staff; Dental Composite Resin Devices - Premarket Notification [510(k)] Submissions".
- IV. Description of the Device: Meta Etchant is a thickened, colored, phosphoric acid semi-gel designed to prepare tooth surfaces (dentin and enamel) for application of a bonding agent, cementation, or restorative materials.
- Labels and Labeling: Draft labels of Meta Etchant and instructions for use V. are provided, together with warnings and contra-indications.
- Substantial Equivalence: These devices are equivalent to devices VI. manufactured and sold before 1976, having a U. S. classification number (code) EBF, and those described under 21 CFR 872.3690. Each is also equivalent to several devices currently on the market that have been cleared by the premarket notification-510(k) process. For Meta Etchant, some predicates are:
- 1. K062409. K-Etchant Gel, Kuraray Medical Inc.,
- 2. K022492, Pulpdent Semi-Gel Etch, Pulpdent Corporation,
The "510(k) "Substantial Equivalence" Decision-Making Process (Detailed) from ODE Guidance Memorandum #86-3 was followed.
(End of Summary)
XI.
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Image /page/3/Picture/1 description: The image shows the logo for the U.S. Department of Health & Human Services. The logo consists of a circular seal with the text "DEPARTMENT OF HEALTH & HUMAN SERVICES - USA" arranged around the perimeter. Inside the circle is a stylized image of an eagle with its wings spread.
Food and Drug Administration 9200 Corporate Boulevard Rockville MD 20850
Mr. Tac-Hoon Kim QM Manager Meta Biomed Company, Limited 441-12 Mo Choong Dong Cheong Ju Cheong City, Chung Buk REPUBLIC OF KOREA
APR - 7 2008
Re: K080305
Trade/Device Name: Nexcomp and Meta Etchant Regulation Number: 872.3690 Regulation Name: Tooth Shade Resin Regulatory Class: Il Product Code: EBF, KLE Dated: January 19, 2008 Received: January 5, 2008
Dear Mr. Kim:
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.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to such 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.
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Page 2 - Mr. Kim
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. 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); 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.
This letter will allow you to begin marketing your device as described in your Section 510(k) premarket notification. The FDA finding of substantial equivalence of your device to a legally marketed predicate device results in a classification for your device and thus, permits your device to proceed to the market.
If you desire specific advice for your device on our labeling regulation (21 CFR Part 801), please contact the Office of Compliance at (240) 276-0115. Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21CFR Part 807.97). You may obtain other general information on your responsibilities under the Act from the Division of Small Manufacturers, International and Consumer Assistance at its toll-free number (800) 638-2041 or (301) 443-6597 or at its Internet address http://www.fda.gov/cdrh/industry/support/index.html.
Sincerely yours,
Suitty Y. Mccleese Ows.
Chiu Lin, Ph.D. Director Division of Anesthesiology, General Hospital, Infection Control and Dental Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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## X.1 Indications for Use: [Separate Page]
Kogo 305 510(k) Number: 😍ጅ
Device Name: Meta Etchant
Indications for use:
Meta Etchant is intended for use in dentin/enamel etching to prepare the tooth surface for application of a bonding agent.
Prescription Use × (Per 21 CFR 801 Subpart D) OL
Over-The-Counter Use (21 CFR 807 Subpart C)
(PLEASE DO NOT WRITE BELOW THIS LINE-CONTINUE ON ANOTHER PAGE IF NEEDED)
9
Concurrence of CDRH, Office of Device Evaluation (ODE)
Susan Ruoppner
(Division Sign-Off) Division of Anesthesiology, General Hospital Infection Control, Dental Devices
510(k) Number: K080305
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## X. Indications for Use: [Separate Page]
16080305 510(k) Number: MA
Device Name: Nexcomp
Indications for use:
Nexcomp is intended to restore carious lesions or structural defects in teeth. It is indicated for Class I, II, IV, and V restorations, core-buildup to replace missing tooth structure, for splinting and for diastema closure, direct veneers, composite and porcelain repairs.
Prescription Use × (Per 21 CFR 801 Subpart D) Over-The-Counter Use (21 CFR 807 Subpart C)
(PLEASE DO NOT WRITE BELOW THIS LINE-CONTINUE ON ANOTHER PAGE IF NEEDED
8
or
Concurrence of CDRH, Office of Device Evaluation (ODE)
Division Sign-Off) Division of Anesthesiology, General Hospital nfection Control, Dental Devices
10(k) Number. KCSOBCS
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Learn the FDA Browser
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.