K260205 · AS Software, LLC · LLZ · Feb 19, 2026 · Radiology
Device Facts
Record ID
K260205
Device Name
AS Software Version Asera
Applicant
AS Software, LLC
Product Code
LLZ · Radiology
Decision Date
Feb 19, 2026
Decision
SESE
Submission Type
Special
Regulation
21 CFR 892.2050
Device Class
Class 2
Attributes
Software as a Medical Device
Indications for Use
AS Software Version Asera is intended to automate the management of patient information. The system allows image acquisition, review, documentation, storage, archiving, and reporting.
Device Story
AS Software Version Asera is a web-based medical image management and processing system; functions as a software-only application for ultrasound data. Device captures examination data and images from ultrasound machines via DICOM and HL7 interfaces; enables image review, documentation, storage, archiving, and reporting. Used in hospitals and medical offices by sonographers, obstetricians, gynecologists, perinatologists, radiologists, and cardiologists. System utilizes a serverless, cloud-hosted architecture (AWS) with a modern frontend framework supporting multitenancy. Healthcare providers access the system to manage patient records and diagnostic images, facilitating clinical documentation and reporting workflows. Device does not contact patients; relies on commercial off-the-shelf hardware.
Clinical Evidence
No clinical data. Safety and effectiveness validated via software verification and validation studies.
Technological Characteristics
Software-only medical image management system. Interfaces with DICOM and HL7 standards. Architecture: serverless, cloud-hosted (AWS), multitenant. Hardware: commercial off-the-shelf (no dedicated energy source). Cybersecurity: compliant with June 2025 FDA guidance.
Indications for Use
Indicated for sonographers, obstetricians, gynecologists, perinatologists, radiologists, and cardiologists for the management of patient information and ultrasound images in hospitals and medical offices.
Regulatory Classification
Identification
A medical image management and processing system is a device that provides one or more capabilities relating to the review and digital processing of medical images for the purposes of interpretation by a trained practitioner of disease detection, diagnosis, or patient management. The software components may provide advanced or complex image processing functions for image manipulation, enhancement, or quantification that are intended for use in the interpretation and analysis of medical images. Advanced image manipulation functions may include image segmentation, multimodality image registration, or 3D visualization. Complex quantitative functions may include semi-automated measurements or time-series measurements.
Special Controls
*Classification.* Class II (special controls; voluntary standards—Digital Imaging and Communications in Medicine (DICOM) Std., Joint Photographic Experts Group (JPEG) Std., Society of Motion Picture and Television Engineers (SMPTE) Test Pattern).
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FDA U.S. FOOD & DRUG ADMINISTRATION
AS Software, LLC
Becky Piroga
FDA Compliance Manager
560 Sylvan Ave.
Englewood Cliffs, NJ 07632
February 19, 2026
Re: K260205
Trade/Device Name: AS Software Version Asera
Regulation Number: 21 CFR 892.2050
Regulation Name: Medical Image Management And Processing System
Regulatory Class: Class II
Product Code: LLZ
Dated: January 23, 2026
Received: January 23, 2026
Dear Becky Piroga:
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 (the 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. Although this letter refers to your product as a device, please be aware that some cleared products may instead be combination products. The 510(k) Premarket Notification Database available at https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm identifies combination product submissions. 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.
Additional information about changes that may require a new premarket notification are provided in the FDA guidance documents entitled "Deciding When to Submit a 510(k) for a Change to an Existing Device"
U.S. Food & Drug Administration
10903 New Hampshire Avenue
Silver Spring, MD 20993
www.fda.gov
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K260205 - Becky Piroga
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(https://www.fda.gov/media/99812/download) and "Deciding When to Submit a 510(k) for a Software Change to an Existing Device" (https://www.fda.gov/media/99785/download).
Your device is also subject to, among other requirements, the Quality Management System Regulation (QMSR) (21 CFR Part 820), which includes, but is not limited to, ISO 13485 clause 7.3 (Design controls), ISO 13484 clause 8.3 (Nonconforming product), and ISO 13485 clause 8.5 (Corrective and preventative action). Please note that regardless of whether a change requires premarket review, the QMSR requires device manufacturers to review and approve changes to device design and production (ISO 13485 clause 7.3 and 21 CFR 820.70) and document changes and approvals in the device master record (21 CFR 820.181).
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); medical device reporting (reporting of medical device-related adverse events) (21 CFR Part 803) for devices or postmarketing safety reporting (21 CFR Part 4, Subpart B) for combination products (see https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reporting-combination-products); good manufacturing practice requirements as set forth in the Quality Management System Regulation (QMSR) (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR Part 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR Parts 1000-1050.
All medical devices, including Class I and unclassified devices and combination product device constituent parts are required to be in compliance with the final Unique Device Identification System rule ("UDI Rule"). The UDI Rule requires, among other things, that a device bear a unique device identifier (UDI) on its label and package (21 CFR 801.20(a)) unless an exception or alternative applies (21 CFR 801.20(b)) and that the dates on the device label be formatted in accordance with 21 CFR 801.18. The UDI Rule (21 CFR 830.300(a) and 830.320(b)) also requires that certain information be submitted to the Global Unique Device Identification Database (GUDID) (21 CFR Part 830 Subpart E). For additional information on these requirements, please see the UDI System webpage at https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-assistance/unique-device-identification-system-udi-system.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to https://www.fda.gov/medical-devices/medical-device-safety/medical-device-reporting-mdr-how-report-medical-device-problems.
For comprehensive regulatory information about medical devices and radiation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-assistance) and CDRH Learn (https://www.fda.gov/training-and-continuing-education/cdrh-learn). Additionally, you may contact the Division of Industry and Consumer Education (DICE) to ask a question about a specific regulatory topic. See the DICE website (https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-
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K260205 - Becky Piroga
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assistance/contact-us-division-industry-and-consumer-education-dice) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).
Sincerely,

Jessica Lamb, PhD
Assistant Director
Imaging Software Team
DHT8B: Division of Radiological Imaging Devices and Electronic Products
OHT8: Office of Radiological Health
Office of Product Evaluation and Quality
Center for Devices and Radiological Health
Enclosure
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| Indications for Use | | |
| --- | --- | --- |
| Please type in the marketing application/submission number, if it is known. This textbox will be left blank for original applications/submissions. | K260205 | ? |
| Please provide the device trade name(s). | | ? |
| AS Software Version Asera | | |
| Please provide your Indications for Use below. | | ? |
| AS Software Version Asera is intended to automate the management of patient information. The system allows image acquisition, review, documentation, storage, archiving, and reporting. | | |
| Please select the types of uses (select one or both, as applicable). | ☑ Prescription Use (21 CFR 801 Subpart D)
☐ Over-The-Counter Use (21 CFR 801 Subpart C) | ? |
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K260205
Special 510(k) Summary
AS Software Version Asera
In accordance with 21 CFR 807.92
I. SUBMITTER
Manufacturer: AS Software, LLC
Address: 560 Sylvan Ave
Englewood Cliffs, NJ
USA 07632
Phone: 201-541-1900
FDA Registration: 3005207094
Contact Person: Becky Piroga, FDA Compliance Manager
Date Prepared: January 23, 2026
II. SUBJECT (MODIFIED) DEVICE
| Device Proprietary Name: | AS Software Version Asera |
| --- | --- |
| Common Name: | Medical Image Management and Processing System |
| Manufacturer: | AS Software, LLC |
| Classification Name: | System, Image Processing, Radiological |
| Primary Product Code: | LLZ |
| Regulation Number: | 21 CFR 892.2050 |
| Device Classification: | Class II |
III. PREDICATE (UNMODIFIED) DEVICE
| Device Proprietary Name: | AS-OBGYN Information System |
| --- | --- |
| 510k Number: | K051639 |
| Common Name: | Medical Image Management and Processing System |
| Manufacturer: | AS Software, LLC |
| Classification Name: | System, Image Processing, Radiological |
| Primary Product Code: | LLZ |
| Regulation Number: | 21 CFR 892.2050 |
| Device Classification: | Class II |
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# IV. DEVICE DESCRIPTION
AS Software Version Asera is an interactive web application which allows for the management of patient information and images. The ultrasound reporting and management system provides the capability to capture examination data and images from ultrasound machines and to generate electronic and printed medical reports from them.
AS Software Version Asera interfaces with HL7 standards and DICOM modality machines.
AS Software Version Asera is a software-only device. All hardware used by AS Software Version Asera (including computers, storage drives, network interface, monitors, printers, and ultrasound peripherals) is commercial off-the-shelf equipment and does not require an additional dedicated energy source.
AS Software Version Asera is an updated version of the current AS Software. It provides a modernized user interface and allows for multitenancy.
# V. INDICATIONS FOR USE
AS Software Version Asera is intended to automate the management of patient information. The system allows image acquisition, review, documentation, storage, archiving, and reporting.
# VI. INTENDED USERS / USE ENVIRONMENT
AS Software Version Asera is intended for use by sonographers, obstetricians, gynecologists, perinatologists, radiologists, and cardiologists. It is designed for use in hospitals, medical offices, and similar healthcare environments.
# VII. COMPARISON TO THE PREDICATE DEVICE
| Feature | Subject (Modified) Device: AS Software Version Asera | Predicate (Unmodified) Device: AS-OBGYN Information System | Comparison |
| --- | --- | --- | --- |
| Manufacturer | AS Software, LLC | AS Software, LLC | Same |
| Intended Use | Intended to automate the management of patient information. The system allows image acquisition, review, documentation, storage, archiving, and reporting. | Intended to automate the management of patient information. The system allows image acquisition, review, document, storage, archive, and reporting. | Same (edited for grammar) |
| Intended Users | Sonographers, obstetricians, gynecologists, perinatologists, radiologists, cardiologists. | Obstetricians, gynecologists, perinatologists, radiologists, cardiologists. | Same (clarified ‘sonographers’ as its own role) |
| Use Environment | Hospitals, medical offices | Hospitals, medical offices | Same |
| Device Type | Medical image management and processing system | Medical image management and processing system | Same |
| Device Regulation | 21 CFR 892.2050 | 21 CFR 892.2050 | Same |
| Device Classification | Class II | Class II | Same |
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| Product Code | LLZ | LLZ | Same |
| --- | --- | --- | --- |
| Hardware | Commercial Off-The-Shelf (does not require dedicated energy source) | Commercial Off-The-Shelf (does not require dedicated energy source) | Same |
| Image Input and Interfaces | DICOM
HL7 | DICOM
HL7 | Same |
| Image Modality | Ultrasound | Ultrasound | Same |
| Data Privacy and Security | Falls under the umbrella of the manufacturer’s SOC 2 and HIPAA compliance | Falls under the umbrella of the manufacturer’s SOC 2 and HIPAA compliance | Same |
| Architecture | Serverless, cloud hosting with AWS, modern frontend framework allows for multitenancy | Cloud hosting with Azure or on-prem | Similar |
| Patient Contact | None (software only) | None (software only) | Same |
| Software Documentation Level | Basic | Basic | Same |
VIII. TECHNOLOGICAL CHARACTERISTICS
Comparisons to its predicate, an earlier version of the AS Software system, show the technological characteristics to be substantially equivalent. The proposed changes are functionally identical to the predicate device.
IX. SOFTWARE TESTING AND PERFORMANCE DATA
A summary of software verification and validation studies are provided in support of a substantial equivalence determination for the changes made to the subject device.
X. CYBERSECURITY TESTING
Cybersecurity testing for AS Software Version Asera was conducted and documented in accordance with the FDA Guidance Document “Cybersecurity in Medical Devices: Quality System Considerations and Content of Premarket Submissions” from June 2025.
XI. SUMMARY OF CLINICAL DATA
Clinical studies are not necessary to validate the safety and effectiveness of the software in AS Software Version Asera.
XII. CONCLUSION
Results of testing have demonstrated that AS Software Version Asera meets requirements for its intended use. The information provided above supports that AS Software Version Asera is substantially equivalent to the predicate device: the intended use and indications for use are the same, the majority of the features are the same, and no new concerns regarding safety or effectiveness were raised during testing.
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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.
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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.
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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
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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.
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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.