The Aletta® ARPD™ is intended to perform autonomous, ultrasound-guided, venipuncture and collection of blood for diagnostic purposes in adult outpatients, monitored by a trained phlebotomist. One phlebotomist may supervise up to three Aletta® ARPD™ devices simultaneously.
Device Story
Aletta® ARPD™ is an electromechanical robotic system for autonomous peripheral venous blood collection. Device utilizes ultrasound guidance to identify and target veins for needle insertion. Operated in outpatient clinical settings under supervision of a trained phlebotomist, who may monitor up to three devices simultaneously. System automates vessel identification, targeting, and needle insertion to obtain blood samples. Output is collected blood sample for diagnostic testing. Benefits include standardized collection process and reduced manual phlebotomy burden. Healthcare providers use collected samples for standard diagnostic workflows. Safety mechanisms include passive safety features and fault detection to prevent injury or collection failure.
Clinical Evidence
Clinical performance testing required to demonstrate intended performance in the target population. Required metrics include first puncture success rates, sample quality/quantity characterization, adverse event rates (severity, cause, outcome), and sub-group analyses (e.g., skin tone, BMI, anticoagulation status, difficult venous access).
Technological Characteristics
Electromechanical robotic system; ultrasound-guided sensing; needle-based blood collection; includes reusable and consumable components; requires biocompatibility, sterility, and electrical/mechanical safety validation; software-controlled autonomous operation.
Indications for Use
Indicated for autonomous, ultrasound-guided venipuncture and blood collection for diagnostic purposes in adult outpatients.
Regulatory Classification
Identification
The Aletta® Autonomous Robotic Phlebotomy Device (ARPD™) (Gen1 US) is an electromechanical device intended to perform autonomous, ultrasound-guided, venipuncture and collection of blood for diagnostic purposes in adult outpatients, monitored by a trained phlebotomist. The device uses robotic systems to assist with the blood collection procedure, including vessel identification, targeting, and/or needle insertion, and may perform its functions in an automated or autonomous manner.
Submission Summary (Full Text)
{0}
FDA
U.S. FOOD & DRUG
ADMINISTRATION
August 19, 2026
Vitestro
% Michael Daniel
President
Daniel & Daniel Consulting
P.O. Box 129
Minden, Nevada 89423
Re: DEN250046
Trade/Device Name: Aletta® Autonomous Robotic Phlebotomy Device (ARPD™) (Gen1 US)
Regulation Number: 21 CFR 880.6975
Regulation Name: Robotic peripheral venous blood collection system
Regulatory Class: Class II
Product Code: SIW
Dated: June 5, 2026
Received: June 5, 2026
Dear Michael Daniel:
The Center for Devices and Radiological Health (CDRH) of the Food and Drug Administration (FDA) has completed its review of your De Novo request for classification of the Aletta® Autonomous Robotic Phlebotomy Device (ARPD™) (Gen1 US), a prescription device under 21 CFR Part 801.109 with the following indications for use:
The Aletta® ARPD™ is intended to perform autonomous, ultrasound-guided, venipuncture and collection of blood for diagnostic purposes in adult outpatients, monitored by a trained phlebotomist. One phlebotomist may supervise up to three Aletta® ARPD™ devices simultaneously.
FDA concludes that this device should be classified into Class II. This order, therefore, classifies the Aletta® Autonomous Robotic Phlebotomy Device (ARPD™) (Gen1 US), and substantially equivalent devices of this generic type, into Class II under the generic name robotic peripheral venous blood collection system.
FDA identifies this generic type of device as:
**Robotic peripheral venous blood collection system.** A robotic peripheral venous blood collection system is an electromechanical device used to obtain blood samples from peripheral veins for diagnostic purposes. The device uses robotic systems to assist with the blood collection procedure,
U.S. Food & Drug Administration
10903 New Hampshire Avenue
Silver Spring, MD 20993
www.fda.gov
{1}
DEN250046 - Michael Daniel
Page 2
including vessel identification, targeting, and/or needle insertion, and may perform its functions in an automated or autonomous manner.
Section 513(f)(2) of the Food, Drug and Cosmetic Act (the FD&C Act) was amended by section 607 of the Food and Drug Administration Safety and Innovation Act (FDASIA) on July 9, 2012. This law provides two options for De Novo classification. First, any person who receives a "not substantially equivalent" (NSE) determination in response to a 510(k) for a device that has not been previously classified under the Act may request FDA to make a risk-based classification of the device under section 513(a)(1) of the Act. On December 13, 2016, the 21st Century Cures Act removed a requirement that a De Novo request be submitted within 30 days of receiving an NSE determination. Alternatively, any person who determines that there is no legally marketed device upon which to base a determination of substantial equivalence may request FDA to make a risk-based classification of the device under section 513(a)(1) of the Act without first submitting a 510(k). FDA shall, within 120 days of receiving such a request, classify the device. This classification shall be the initial classification of the device. Within 30 days after the issuance of an order classifying the device, FDA must publish a notice in the Federal Register announcing the classification.
On September 26, 2025, FDA received your De Novo requesting classification of the Aletta® Autonomous Robotic Phlebotomy Device (ARPD™) (Gen1 US). The request was submitted under section 513(f)(2) of the FD&C Act. In order to classify the Aletta® Autonomous Robotic Phlebotomy Device (ARPD™) (Gen1 US) into class I or II, it is necessary that the proposed class have sufficient regulatory controls to provide reasonable assurance of the safety and effectiveness of the device for its intended use. After review of the information submitted in the De Novo FDA has determined that, for the previously stated indications for use, the Aletta® Autonomous Robotic Phlebotomy Device (ARPD™) (Gen1 US) can be classified in class II with the establishment of special controls for class II. FDA believes that class II (special) controls provide reasonable assurance of the safety and effectiveness of the device type. The identified risks and mitigation measures associated with the device type are summarized in the following table:
| Risks to Health | Mitigation Measures |
| --- | --- |
| Device mechanical failure or malfunction (including unanticipated device movement and failure of passive safety mechanisms) resulting in: - Blunt force injury - Unintended puncture - Hematoma - Entrapment - Prolonged procedure time | Clinical performance testing Non-clinical performance testing Software verification, validation and hazard analysis |
| Device blood collection failure, leading to unnecessary tissue injury and/or referral to manual phlebotomy, due to: - Failure to identify a suitable vein - Failed or repeat puncture - Incompatible sample collection device | Clinical performance testing Non-clinical performance testing Human factors/usability testing Labeling |
| Insufficient sample quantity and/or quality, leading to inaccurate test results, or the need for a repeat blood collection | Clinical performance testing Non-clinical performance testing Human factors/usability testing |
{2}
DEN250046 - Michael Daniel
Page 3
| Risks to Health | Mitigation Measures |
| --- | --- |
| | Labeling |
| Infection, including infection due to cross-contamination and bloodborne pathogen exposure | Human factors/usability testing Sterilization validation Reprocessing validation Non-clinical performance testing Software verification, validation, and hazard analysis Labeling |
| Adverse tissue reaction | Biocompatibility evaluation |
| Electromagnetic interference or electrical fault resulting in device failure, tissue injury, or electric shock | Electrical safety testing Electromagnetic compatibility testing |
In combination with the general controls of the FD&C Act, the robotic peripheral venous blood collection system is subject to the following special controls:
(1) Clinical performance testing must demonstrate that the device performs as intended in the intended patient population under anticipated conditions of use. This testing must include:
(i) First puncture success rates;
(ii) Characterization of collected sample quality and quantity, based on requirements for compatible sample collection devices and intended downstream applications;
(iii) Rates of adverse events, including severity, causes, and outcomes; and
(iv) Sub-group analyses based on patient characteristics affecting device performance or safety (e.g., skin tone, body mass index, anticoagulation, or known difficult intravenous access).
(2) Non-clinical performance testing must demonstrate that the device performs as intended under anticipated conditions of use and must include:
(i) Device motion accuracy and precision;
(ii) Verification of design characteristics intended to mitigate needle reuse;
(iii) Verification of maximum autonomous motion speed and force under all conditions of use;
(iv) Validation of safe system behavior upon fault or failure;
(v) Verification of the specified useful life under estimated worst-case use conditions.
(3) Human factors/usability testing must demonstrate that all intended users can correctly use the device based on the directions for use, including training materials when applicable, in all intended use environments.
(4) Software verification, validation, and hazard analysis must be performed.
(5) Electromagnetic compatibility and electrical, thermal, and mechanical safety testing must be performed.
(6) Performance data must demonstrate the sterility of all blood path contacting device components.
(7) Performance data must support the shelf life of the device components provided sterile by demonstrating continued sterility and package integrity over the labeled shelf life.
(8) Performance data must validate the reprocessing instructions for the reusable components of the device.
(9) Performance data must demonstrate that all patient-contacting components of the device are biocompatible.
(10) Labeling must include:
{3}
DEN250046 - Michael Daniel
Page 4
(i) A summary of the clinical performance testing with the device, including:
(A) The patient population and intended use environment(s) studied;
(B) First puncture success rate;
(C) The expected rate of referral to manual phlebotomy;
(D) Device- and procedure-related adverse events; and
(E) Subgroups with deviations in device effectiveness or safety.
(ii) Training needed for the safe use of the device;
(iii) Compatible blood collection devices;
(iv) Validated methods and instructions for reprocessing of any reusable components;
(v) The useful life of the device;
(vi) Disposal instructions for consumable components.
In addition, this is a prescription device and must comply with 21 CFR 801.109.
Although this letter refers to your product as a device, please be aware that some granted products may instead be combination products. If you have questions on whether your product is a combination product, contact CDRHProductJurisdiction@fda.hhs.gov.
Section 510(m) of the FD&C Act provides that FDA may exempt a class II device from the premarket notification requirements under section 510(k) of the FD&C Act, if FDA determines that premarket notification is not necessary to provide reasonable assurance of the safety and effectiveness of the device type. FDA has determined premarket notification is necessary to provide reasonable assurance of the safety and effectiveness of the device type and, therefore, the device is not exempt from the premarket notification requirements of the FD&C Act. Thus, persons who intend to market this device type must submit a premarket notification containing information on the robotic peripheral venous blood collection system they intend to market prior to marketing the device.
Please be advised that FDA's decision to grant this De Novo request does not mean that FDA has made a determination that your device complies with other requirements of the FD&C Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the FD&C 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) for devices or postmarketing safety reporting (21 CFR 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 4, Subpart A) for combination products; and if applicable, the electronic product radiation control provisions (Sections 531-542 of the FD&C Act; 21 CFR 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
{4}
DEN250046 - Michael Daniel
Page 5
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.
A notice announcing this classification order will be published in the Federal Register. A copy of this order and supporting documentation are on file in the Dockets Management Branch (HFA-305), Food and Drug Administration, 5630 Fishers Lane, Room 1061, Rockville, MD 20852 and are available for inspection between 9 a.m. and 4 p.m., Monday through Friday.
As a result of this order, you may immediately market your device as described in the De Novo request, subject to the general control provisions of the FD&C Act and the special controls identified in this order.
For comprehensive regulatory information about medical devices and radiation-emitting products, 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-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).
If you have any questions concerning the contents of the letter, please contact Michael Lancina at 301-796-1459.
Sincerely,
JULIANE C. LESSARD -S
Juliane C. Lessard, Ph.D.
Director
DHT3C: Division of Drug Delivery and
General Hospital Devices, and
Human Factors
OHT3: Office of Gastrorenal, ObGyn,
General Hospital, and Urology Devices
Office of Product Evaluation and Quality
Center for Devices and Radiological Health
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.