CEO / Co-Founder at Metas Architecture Research Studio
ThakaaMed
ThakaaMed provides AI‑driven diagnostic assistants for medical imaging, including Dental IQ for dental scans, Stroke IQ for neuroimaging, and Chest IQ for chest X‑rays. The tools automatically detect and annotate pathologies, generate structured reports with confidence scores and visual heat‑maps, and integrate via API/SDK into existing clinical workflows. An accompanying AI Factory platform offers cloud‑based image labeling services for research institutions, accelerating dataset creation and model training.
- Artificial Intelligence
- Data & Analytics
- Digital Health
- Enterprise Software
- Healthcare Technology
- Software Only
Updated 5 months ago
Funding
Raised to date
$500KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Funding rounds are not available yet.
Founders
Product
Problem
Healthcare providers often rely on manual interpretation of medical images, which can be time‑consuming, subject to variability, and prone to diagnostic errors, leading to delayed treatment and suboptimal patient outcomes.
Solution
Thakaamed offers a suite of AI‑driven diagnostic assistants—including Dental IQ for dental imaging, Stroke IQ for neuroimaging, and Chest IQ for chest X‑ray analysis—that automatically detect and annotate clinically relevant findings. The platform delivers standardized reports and visual aids in real time, enabling clinicians to make faster, more consistent decisions. An end‑to‑end AI Factory also provides a medical image labeling service for research institutions, accelerating dataset creation and model training. By integrating these tools into existing workflows, Thakaamed enhances diagnostic precision, reduces interpretation workload, and supports predictive and preventive care through data‑driven insights.
Target Audience
Primary customers are hospitals, imaging centers, dental practices, and research institutions that require rapid, reliable interpretation of medical images and need scalable labeling solutions for AI development.
Features
- Deep‑learning models trained on large, curated datasets for dental, neuro, and chest imaging diagnostics
- Automated detection of pathologies with confidence scores and heat‑map visualizations
- Instant generation of structured reports that can be exported to electronic health record systems
- AI Factory platform for scalable, cloud‑based medical image labeling and annotation services
- Continuous model updates via federated learning to incorporate new clinical data while preserving privacy
- API and SDK integrations allowing seamless embedding of AI tools into clinic software and PACS systems