Comparison2026 · Laudite
Alternative to Laudite — Laudos.AI with real data (2026)
If you're evaluating an alternative to Laudite, the question is: do you want cheaper dictation, or a more governed, integrated, AI-assisted reporting flow? This comparison separates the two decisions with real data.
TL;DR
Laudite consolidated the BR voice-dictation market with speech recognition tuned to radiology terminology. Laudos.AI is built one step further: speech-to-REPORT — AI generates the structured report from natural speech, without the radiologist dictating punctuation, headers, or transitions. For teams with high volume, contract-governed critical findings and TAT pressure, Laudos.AI shows sub-1min median. For teams satisfied with Laudite voice recognition and a calibrated macros flow, switching may not be a priority.
Who should stay on Laudite
Teams that: (a) already have Laudite deployed for years with calibrated voice macros and shortcuts; (b) prefer classic dictation with speech recognition without AI structured generation; (c) operate low volume where TAT is not the bottleneck; (d) have a review-and-signature flow well-fitted and the adaptation cost doesn't justify migration. Honest take: Laudite delivers radiology voice recognition well in many established services.
Who should evaluate Laudos.AI
Teams that: (a) dictate punctuation, header and formatting manually and want to stop; (b) operate high volume (>40 reports/day/radiologist, on-call, teleradiology) where sub-1min median equals hours per shift; (c) need contract-traceable CRIT flow; (d) want LGPD governance with DPO, audit trail and documented segregation; (e) operate multi-site or multi-client needing per-client template standardization; (f) want radiology AI that understands BR context in the flow (BI-RADS/TI-RADS/PI-RADS/Lung-RADS/LI-RADS/RECIST/Fleischner/Bosniak native), not bolted on; (g) want public published pricing and contract without commercial friction.
Auditable comparison
Laudos.AI vs Laudite — criterion by criterion
| Criterion | Laudos.AI | Laudite |
|---|---|---|
| Usage model | Speech-to-report: natural speech → structured report | Voice recognition + macros + template structuringsource: laudite.com.br |
| Manual punctuation | No. AI writes punctuation, paragraphs, transitions | Partial in flow / by macrosource: laudite.com.br |
| Median TAT (telemetry) | 52s (median over 97 finalized reports, 2026-05) | Not publicly published |
| Modality coverage | CT, MRI, US, X-ray, Mammography, Doppler, PET-CT | CT, MRI, US, X-ray, Mammography, Dopplersource: laudite.com.br/produto |
| Generative AI for impression | Native, trained on BR radiology terminology | Evolving; depends on plan |
| Structured classifications | BI-RADS, TI-RADS, PI-RADS, Lung-RADS, LI-RADS, RECIST, Fleischner, Bosniak native | Per template / macro; service-dependent |
| CRIT — critical findings | Native flow with acknowledgement, escalation, contract SLA | Supports critical comms; scope by config |
| LGPD governance | Designated DPO, audit trail, documented access segregation | Public policy; operational docs on request |
| PACS/RIS integration | Dedicated engineer per scope; HL7 v2 ORM/ORU, FHIR, DICOM-SR, REST + webhooks | Broad integration support; scope varies |
| Mobile editor | Web + iOS + Android with parity | Web; partial mobile |
| Public price | Published plan from BRL 199/mo | On requestsource: /en/pricing |
| Assisted migration | Macro/template import + 14-day pilot at no charge | Not publicly documented |
| Trial | 14-day with card · Cancel in 1 click · 30-day refund | Not publicly documented |
Real telemetry
Production data, not promise
Numbers below are real Laudos.AI production telemetry as of 2026-05. We report median, not mean, to avoid outlier bias. Data reflects full reports (editor open through signature), not isolated dictation time.
Laudos.AI Labs·Production telemetry2026-05-09
Rolling 30-day window · median TAT 52s · 430.2h returned vs manual transcription
Measurement methodology, telemetry pipeline and reporting cadence operated by Laudos.AI Labs.
- Finalized reports
- 3,900
- Median TAT
- 52s
- Mean TAT
- 3.4 min
- Under 1 min
- 54.6%
TAT distribution
- Sub-min (54.6%)
- 1–5 min (24.7%)
- 5+ min (20.6%)
<30s
30–60s
1–2 min
2–5 min
5–15 min
>15 min
Laudos.AI vs traditional transcription (3,900 reports)
Laudos.AI
Manual transcription (estimated)
- Laudos.AI time
- 217.1 h
- Manual estimate
- 651.3 h
- Hours saved
- 430.2 h
- Median speedup
- 3.0×
Source · Laudos.AI Labs
- Window: 2026-04-09 → 2026-05-09 (30 days)
- Refresh: monthly · next snapshot at month rollover
- Cohort: finalized reports (status = signed) by radiologists on the Pro plan during the rolling window, excluding internal QA and Laudos.AI staff accounts
- Pipeline: copilot.laudos.ai · production telemetry pipeline
- Exported on: 2026-05-09
TAT = time between editor open and signature, computed per finalized report (status=signed). Manual baseline estimated at 10 min/exam for transcription + structuring, compared against actual editor time. Speedup is the ratio of manual baseline to observed median TAT, conservative.
Audit-grade verification on request: oi@laudos.ai
Laudite → Laudos.AI migration — 14-day checklist
- 01
D1–D3: technical kickoff. Map modalities, volume, critical Laudite macros, current PACS/RIS integrations, signing roles.
- 02
D4–D7: assisted import. Current Laudite macros and templates are mapped to native Laudos.AI structure, preserving service language.
- 03
D8–D10: pilot with 1 volunteer radiologist on real routine, parallel to Laudite. Measures TAT, rework, review friction.
- 04
D11–D13: fine tuning. Vocabulary, shortcuts, CRIT workflow, signature integration, PACS/RIS export.
- 05
D14: go/no-go decision based on TAT, clinical satisfaction, governance and TCO. No billing until go.
FAQ
Does Laudos.AI replace Laudite?
Functionally yes — covers voice, structuring, templates, integration, signature. Operationally depends on how customized the service is in Laudite macros. The 14-day pilot measures the transition in real production before billing.
How long does Laudite → Laudos.AI migration take?
Median technical pilot in 14 days: 3 mapping, 4 assisted macro/template import, 3 routine pilot, 3 fine-tuning. No billing during pilot. Data-based go/no-go.
Are Laudite macros preserved?
Yes. Current Laudite macros and templates are mapped to native Laudos.AI structure preserving service language, shortcuts and standards. Reduces radiologist adaptation curve.
Does Laudos.AI integrate with existing PACS/RIS?
Yes. We work with service infrastructure — HL7 v2 (ORM/ORU), FHIR, DICOM-SR, REST API + webhooks. Every integration scoped by dedicated engineer.
How is speech-to-report different from voice recognition?
Voice recognition transcribes what you say — you still dictate punctuation, header and structure. Speech-to-report understands what you describe and generates the structured report with punctuation, paragraphs and impression coherent with findings. Radiologist reviews and signs without dictating formatting.
What about LGPD? Who is responsible for data?
Designated DPO, audit trail, documented access segregation. We act as data processor under controller direction. DPA and mapping in deployment scope.
How does the trial work?
14 days with card (cancel in 1 click). Pro monthly R$ 219 or annual R$ 2,190 (2 months free). Full refund within 30 days if charged.
How does CRIT work in Laudos.AI?
Critical finding has native flow: mark, log, communicate, acknowledge, audit trail. SLA, escalation and responsibilities by institutional contract.