About
Built to give clinicians their time back
TScribe exists to end documentation burnout. A radiologist's most valuable skill is reading scans, not typing reports.
Returning time to patient care
Clinicians in busy radiology and sonography departments across Nigeria spend a significant portion of their day on documentation rather than diagnosis. TScribe attacks that problem directly. By converting spoken clinical findings into structured, validated reports in under a minute, we free clinicians to see more patients, reduce fatigue, and maintain the quality their patients deserve.
The AI is a tool, never a replacement. Every report TScribe generates goes to a qualified clinician for review. The human stays in the loop, always.
Designed for African clinical infrastructure
Many hospitals and imaging centres across Nigeria operate with varied infrastructure. EMR systems differ from site to site, internet connectivity can be inconsistent, and staff bandwidth is stretched thin.
TScribe is designed with these realities in mind. Our zero-integration clipboard workflow means it works wherever a clinician can open an app and paste text. Built in Abuja, tested in local clinical contexts, shaped by feedback from practicing Nigerian radiologists and sonographers.
Part of the Tamela family
TScribe is a subsidiary of Tamela, a technology company focused on building practical software for African professionals. Tamela invests in focused products that solve real problems in sectors that matter. TScribe is one such product: a dedicated tool for clinical documentation, built with the rigour and care that healthcare demands.
Operating principles
Privacy by design
Patient data and reports are not stored on our servers. Every architectural decision starts with privacy, not as an afterthought.
Human in the loop
AI generates the draft. The clinician reviews, edits, and signs. We build tools that augment clinical judgement, not bypass it.
Clinician-first design
Every feature is evaluated against one question: does this save the clinician real time without adding cognitive load?
Local-first thinking
We build for the constraints of real clinical environments in Nigeria, not idealized broadband workflows.