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Karmat Engineering Limited

What we build

Four products, from clinical decision support to speech synthesis. Each one ships with the model behind it, and the documentation to integrate it.

3 live · 1 in development

01

Optical Diagnostics

Live

Intelligent eye disease detection and treatment support

A clinical decision-support tool for ophthalmology. It reads clinical features, fundus and OCT imagery, or both together, and returns a ranked condition with its probability distribution and a suggested next step. Outputs are advisory — clinical judgement holds final authority.

Multimodal inferenceFive model variantsPer-field confidenceLongitudinal trackingEncrypted records
Application
diagnostics.karmat-hq.com
API
api-diagnostics.karmat-hq.com
02

Seerah AI

Live

Islamic answers, grounded in their sources

Retrieval-augmented Q&A over the Quran, Hadith, scholarly fatwa and Seerah history. Every answer returns the passages it was built from, so a reader can verify it rather than take it on trust.

Four corporaCited answersMulti-turn threadsPer-user isolationGroundedness check
Application
seerahai.karmat-hq.com
API
api-seerahai.karmat-hq.com
03

Attender

Live

Attendance you can actually rely on

Face-verified attendance for schools and teams: enrolment, session capture, roster management and reporting. The web application is live; the programmatic interface is being built.

Face verificationReal-time sessionsAutomated reportsRoster management
Application
attender.karmat-hq.com
APIIn development
api-attender.karmat-hq.com
04

K-TTS

In development

Trilingual speech synthesis for English, Arabic and Yoruba

A text-to-speech model built for three languages that general-purpose voices handle poorly together. Yoruba is tonal and diacritic-sensitive, Arabic needs correct vowelling and right-to-left handling, and most systems apply an English cadence to both. K-TTS is trained to avoid that.

English · Arabic · YorubaTone-aware YorubaDiacritic-sensitive ArabicCode-switched input

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We design and build AI systems end to end — on Azure, on AWS, or on your own infrastructure.

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