# Your sensitive data never leaves the building.
Detect and transform the personal information in medical records, PDFs, images and audio, inside your own network.
Detect, transform, return. All on your premises.

## Every medical record is an identity document.
And the model you want to summarise it with lives in the cloud. Velô stands between the two: it finds every piece of personal data and transforms it before the text crosses your firewall.
- Patient and companion names: NAME
- SSN, driver's license, member ID: ID
- Record and authorization numbers: RECORD
- Street address and ZIP code: ADDRESS
- Insurer, hospital and attending physician: FACILITY
- Admission, discharge and follow-up dates: DATE

## Live redaction
A discharge summary exactly as it leaves the EHR. This is how you would see it in a PDF.

## It reads U.S. clinical notes.
NER models trained on clinical notes, rules for the identifiers generic models miss (SSN, MRN, NPI, member IDs), and an optional second pass with an LLM running on the same Node. Every detection is logged with its type, position and confidence for audit.
Colombia · United States · Brazil
Identity
- Given names and surnames: NAME
- Social Security number: 412-58-7390
- Driver's license and passport: D1234567
- Age: 67 years
Clinical
- Medical record number: MRN 00482137
- Insurer, member ID, facility: FACILITY
- Prior authorization: #88213-4
- Clinician NPI: NPI 1548392017
Contact
- Street address: 1452 Maple Ave
- City, state and ZIP: VT 05401
- Mobile and landline: (802) 555-0142
- Email: EMAIL
Time
- Numeric dates: 03/14/2026
- Written-out dates: April 2
Financial and digital
- Cards and accounts: PAN, IBAN
- IP, URL, username: DIGITAL
Custom
- Your own types: internal codes, site names, sequence numbers: CUSTOM
- Trained from annotated examples in the UI, no data science team required: UI

### Six ways to treat each value. Per entity type.
Pick a policy per entity and per project: names get synthesized, dates get shifted, the SSN gets tokenized.
Mode
What it does
Example
Redact
- Replaces the value with its type label.
- Mary F. Rogers → [NAME]
Tokenize
- A consistent token across the whole document, reversible with the local vault.
- Mary F. Rogers → NAME_1
Synthesize
- A realistic value of the same type and format; the text still reads naturally.
- Mary F. Rogers → Claire I. Morgan
Shift dates
- One offset per patient, so clinical intervals are preserved.
- 03/14 → 04/08
Generalize
- Age to a range, ZIP to its first three digits, to lower re-identification risk.
- 67 years → 65 to 69
Format-preserving encryption
- Encryption that keeps the format, reversible only with your key.
- 412-58-7390 → 689-21-4053

## Any file goes in. It comes out clean.
Out in the same format, or as Markdown and JSON ready for RAG, fine-tuning and analytics.

### PDF
Input
- Native or scanned, with local OCR
Output
- A new PDF with no hidden text layer, metadata or attachments

### Office
- DOCX, PPTX, XLSX
- The same file, structure and styles intact

### Data
- CSV, JSON, XML, HTML, plain text
- Free-text fields cleaned; structured columns by policy

### Images
- PNG, JPG, TIFF, photos of prescriptions and orders
- Text found by OCR and covered at the pixel level

### Audio
- WAV, MP3, contact-centre calls
- Local transcription, silence over every sensitive segment

### Email
- EML and MSG, attachments included
- Body and attachments processed in a single pass
In batches from a folder or a bucket, or one document at a time over the API. The same engine either way.

## Velô Nodo.
An AI computer the size of a book. Plug it into your network, it boots without internet and processes your documents on site.
Memory
- 128 GB unified CPU + GPU memory
Storage
- 4 TB NVMe, encrypted at rest
Network
- 2 × 10 GbE, air-gapped mode
Throughput
- 3,000 to 10,000 pages per hour
Size
- 15 × 15 × 5 cm
License
- Offline validation, no outbound calls
Reference specifications, subject to change.
Already have servers? Velô Motor installs on your cluster with Docker or Kubernetes, on x86 or ARM, with a 16 GB NVIDIA GPU or CPU only.

## It plugs into what you already run.
A REST API and Python SDK for your pipelines, a web UI for reviewers, and connectors that read and write where your documents already live.

### Connectors
- Amazon S3
- Azure Blob
- Google Cloud Storage
- SharePoint
- SMB and NFS shares
- SFTP
- API REST

### Governance
- Roles and permissions per project, SSO with SAML or OIDC
- An audit log of every detection and every re-hydration
- Sampled human review from the UI
- Recall per entity type, measured on your own validation set

### Regulatory framework
Designed to support compliance with these frameworks. These are not certifications or official seals.
Pseudonymization is not anonymization. If a vault can reverse it, what travels is still pseudonymized data. We help you document the control for your committee and pair it with zero retention and a DPA from your cloud provider.

### On-site POC
With 100 to 200 real PDFs from your most common sources, hand-annotated, we measure recall per entity type.

### Tuned to your EHR
Rules per export format (Epic, Oracle Health, MEDITECH and others) and entities specific to your institution.

### Node or cluster
We install the Node or the Motor in your infrastructure, with 8×5 or 24×7 support and offline model updates.

## Use any model you like. It will never meet your patient.
The vault never leaves the Node. The cloud provider receives tokens or substitutes; the answer comes back with your real data only inside your network.

## Try it with your own text.
Paste a note. It is processed in your browser with demo rules for U.S. clinical notes; nothing is sent to any server. The product uses NER models, not just rules.

## Pricing. Licensed per device, no page limits.
You pay for each device Velô runs on, not per document or per page. Process everything your hardware can handle.
With hardware

### Velô Nodo + license
USD 7,000 per device, one-time
Preconfigured and ready to plug into your network.
- First month of license free
- From the second month: USD 4,500 per month per device
Example, 6 months
- USD 29,500
Paying all 6 months upfront
- USD 26,125
Device USD 7,000 + 5 months of license. The 15% discount applies to the license.
Your hardware

### License only
USD 4,500 per month per device, from the first month
For companies that already own compatible hardware: any system with NVIDIA GB10 Grace Blackwell and 128 GB of unified memory, such as the NVIDIA DGX Spark or GB10 systems from other manufacturers.
- USD 27,000
- USD 22,950
6 months of license with a 15% discount for paying upfront.
- No limit on pages or documents. The only limit is the number of devices.
- 3,000 to 10,000 pages per hour per device on average: fewer when documents need OCR, more when they are native digital.
- 6-month minimum term on either option.
- 15% off the license when you pay the full term upfront.
- 50% off the second license when you buy more than one device.
- Priority support included while the license is active.
- Shipping outside the U.S. not included. Quoted separately by destination.
- Prices in U.S. dollars (USD), per device.

## Measure it on your PDFs.
An on-site POC, with your documents, and nothing leaves your network. You finish with recall per entity type and a report for your committee.
Designed to support compliance.

## Frequently asked questions

### What is Velô?
Velô is PII detection and de-identification software for clinical text that runs on-premise: on the Velô Nodo, a compact AI computer, or on your own cluster. It processes medical records, PDFs, images and audio without the data leaving your network.

### Does my data leave my network?
No. Detection, transformation and the reversal vault all run inside your infrastructure. If you choose to use a cloud model, only tokenized or synthesized text travels, and the answer is re-hydrated locally.

### Is pseudonymization the same as anonymization?
No. If a vault can reverse the tokens, the data is still pseudonymized and still subject to personal data regulation. Anonymization requires that re-identification is not reasonably possible, and that has to be measured.

### Which markets and identifiers does it cover?
The United States (SSN, MRN, member ID, NPI, ZIP), Colombia (cédula, medical record number, EPS insurer, local address formats) and Brazil (CPF, Cartão SUS, prontuário, CRM, CEP), plus names, dates, phone numbers, emails and institutions.

### Which formats does it process?
Native and scanned PDF with local OCR, DOCX, PPTX, XLSX, CSV, JSON, XML, HTML, images, audio and email with attachments. Output can be the same format, or Markdown and JSON ready for RAG.

### How much does it cost?
Licensing is per device with no page limits: USD 4,500 per month per device, with a 6-month minimum. With the Velô Nodo (USD 7,000 per device, preconfigured) the first month of license is free. Paying the full term upfront gives 15% off the license. If you buy more than one device, the second license is 50% off. Each device processes on average 3,000 to 10,000 pages per hour, depending on whether documents need OCR or are native digital. Priority support is included; shipping outside the U.S. is not.

### How do I start?
With a one-to-three-week on-site POC on 100 to 200 real, hand-annotated documents. You finish with recall per entity type and a report for your privacy committee.
velô is a product concept. The documents, names and numbers on this page are fictional. The Node specifications are for reference.
© 2026 NETBRAND CORP · West Palm Beach, Florida, USA · Made in the USA

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Source: https://netbrandcorp.com/