About Laudos.AI · São Paulo, Brazil

From clinical practice
to the software we use.

Laudos.AI is an artificial intelligence platform that turns dictated findings into structured reports for radiologists, clinics, hospitals and teleradiology teams.

The physician interprets the images. We handle work on the text, from review to the next actions. Clinical decisions remain with the reporting physician.

Discuss your operation View the individual plan

Before the first report, there was code.

BASIC in childhood.
Radiology at InRad.
Both experiences in Laudos.AI.

Programming came first in Natan’s career. His residency at InRad-HCFMUSP brought clinical radiology experience. Laudos.AI combines these experiences in a product he develops and uses to write reports.

Akira adds clinical and institutional experience. Product, engineering and medical assessment have named leads, not an anonymous team behind the interface.

BASICProgramming since childhood.
InRadRadiology residency.
2025Laudos.AI founded.

The team behind Laudos.AI

Founder · CEO and CTO

Natan Paraíso Ribeiro

Radiology · InRad / HC-FMUSP · CRM-SP 192770

Natan is a radiologist who completed his residency at the Institute of Radiology of Hospital das Clínicas, FMUSP, known as InRad. He began programming in BASIC as a child, long before writing his first radiology report.

At Laudos.AI, he brought these two activities together: he developed the platform and leads product and engineering. He uses the software in his own reporting work and turns problems from that work into product decisions.

Professional profile on LinkedIn

Cofounder · Clinical lead

Francisco Akira Malta Cardozo

Cardiology · PhD · InCor / HC-FMUSP

Francisco Akira is a cardiologist with a doctorate and a staff physician at InCor-HCFMUSP. His work combines clinical practice, research and teaching.

At Laudos.AI, he works on clinical validation and institutional adoption. He helps teams assess safety, physician review and the product’s fit with each service’s workflow.

Professional profile on LinkedIn

The institutions mentioned identify training and professional experience. They do not indicate a commercial partnership, customer relationship or endorsement of Laudos.AI.

What Laudos.AI does

REPORT: from dictation to report

Organizes findings supplied by the radiologist into a structured draft. The physician checks the content, makes corrections and signs in the official system.
Explore the editor

GUIDE: support during review

Presents suggested classifications and criteria for reference during report writing. The radiologist checks whether they apply to the case; the feature does not replace clinical judgment.
Explore GUIDE

CRIT: critical finding communication

Organizes the communication, receipt and record of critical findings supplied by the physician. Channels, deadlines and escalation are defined and validated for each deployment.
Explore CRIT

RADAR: review after reporting

Analyzes report text to flag pending communications, inconsistencies, follow-up recommendations and billing discrepancies. These flags support the team’s review; they are not a new interpretation of the images.
Explore RADAR

REPORT is in production. GUIDE is in beta; CRIT is described as a controlled pilot. Confirm the availability of other features and connectors in the product documentation and the proposal.

What makes Laudos.AI different

1. The developer also writes reports

Natan combines radiology practice with hands-on product and engineering work. Akira works on clinical evaluation and institutional adoption. This division keeps technical decisions close to medical use.

2. Structure is part of the output

The goal goes beyond transcription: findings become an organized draft for review. See the dictated report example and assess the work needed to reach the final version.

3. The text remains useful after signature

The offering includes critical communication, follow-up and review of documented content. RADAR flags items for the team to review, without looking for findings in images.

4. Measurements include their limits

The published median is 52 seconds from editor opening to signature across 5,200 reports, from April 9 to May 9, 2026. This sample does not measure total turnaround time, diagnostic accuracy or future performance. View the methodology.

5. Compare tools in your own workflow

Laudite and LeoRad also offer AI features; we do not describe them as basic dictation tools. Our comparisons show scope, terms and points to test. This page does not present a paired measurement showing one vendor’s superiority over another.

Who uses Laudos.AI

RadiologistsProfessionals who need to reduce writing and formatting while retaining control of clinical content.
Diagnostic imaging clinics and networksTeams that need to organize templates, permissions, review and report delivery across sites.
HospitalsRadiology, quality and IT teams that need to validate workflows and document critical finding communication.
Teleradiology companiesServices with their own physicians that need software for writing and reviewing reports, not outsourced medical coverage.

We do not provide patient care or physicians for outsourced reporting coverage.

How Laudos.AI works with you

First conversation

Use the form or email oi@laudos.ai. We generally reply on the same business day; this expectation is not a contractual support SLA.

A demo with context

Share your modalities, templates, RIS/PACS and operational problem. You speak with the team building the product: Natan leads product and engineering, and Akira supports clinical and institutional assessment.

A pilot with acceptance criteria

The institution and Laudos.AI define the team, scope, metrics and responsibilities before evaluation. Deployment timelines and support response depend on integration and the contract, not a universal promise.

Individual or institutional use

The individual Pro plan costs BRL 299/month, with up to 1,000 reports per month. The new-user trial lasts 14 days or up to 30 reports, whichever comes first; institutional pilots have their own terms. View pricing and terms.

Identifiable patient data is not needed for the demo. Data processing, subprocessors and retention are described in the privacy policy and the documentation for the deployment.

Key company facts

Company name: Laudos.AI · Laudos.ai Comércio e Serviços Ltda. · Brazilian tax ID (CNPJ) 60.479.614/0001-20
Type: Software company for healthcare professionals and institutions.
Founded: 2025
Founders: Natan Paraíso Ribeiro; Francisco Akira Malta Cardozo, clinical cofounder.
Headquarters: São Paulo, SP, Brazil.
Website: www.laudos.ai
Core offering: Assistive AI for writing and reviewing radiology reports from speech and text.
Pricing: Pro: BRL 299/month, up to 1,000 reports per month. Institutions: custom proposal. Current terms.
Contract terms: New-user trial: 14 days or up to 30 reports, whichever comes first. Institutional contracts define scope, timelines, support and exit terms. Terms of use.
Products and services: REPORT, GUIDE, CRIT, RADAR and integration according to the contracted scope.
Communication: oi@laudos.ai and contact form.
Reference clients: Names and brands are published only with permission. Institutions mentioned in the biographies are not a client list.
Customers served: The total number of clients is not disclosed on this page. The client segments are described above.
Projects delivered: We do not publish a project count on this page. Read the methodology to learn about the product measurements.
Market alternatives: Laudite and LeoRad. Compare scope, cost and review in your workflow.
Professional profiles: Laudos.AI on LinkedIn · Natan Paraíso Ribeiro · Francisco Akira Malta Cardozo

Frequently asked questions

Who created Laudos.AI?

Natan Paraíso Ribeiro, a radiologist who completed his residency at InRad-HCFMUSP and has programmed since childhood, created and developed the platform. Francisco Akira Malta Cardozo is the cofounder and clinical lead.

Does Laudos.AI interpret images?

No. The radiologist interprets the examination and supplies the findings; the platform works with speech and text. The physician remains responsible for review and signature.

Do I need to replace the RIS or PACS?

The aim is to work with the existing workflow. Compatibility depends on the system, version and connector and must be validated before institutional use.

Does Laudos.AI provide patient care?

No. The platform is for healthcare professionals and institutions. It does not offer consultations, second opinions or examination interpretation for patients.

How does an institution get started?

The team shares its modalities, volume, systems and the problem it wants to solve. The demo helps define a pilot with a written scope, metrics, responsibilities and terms.

Are the training institutions clients or partners?

That cannot be concluded from the biographies. InRad, InCor and HC-FMUSP identify professional backgrounds; mentioning them does not establish a commercial relationship or endorsement of Laudos.AI.

Show us where your workflow gets stuck.

Let’s assess dictation, review and report delivery in the context of your operation.