Raja Ram
Founder & CEO
DT
Data T
The companyprovides quantum‑enhanced spatial computing platforms that fuse interstellar astronomy data, medical imaging, and multi‑modal AI analysis.
- Artificial Intelligence
- Data & Analytics
- Healthcare Technology
- Quantum Computing
Updated 5 months ago
Funding
Funding rounds are not available yet.
Founders
Muskan A. Sharma
Co‑founder & CTO
Product
Problem
Researchers and clinicians must combine large, heterogeneous spatial datasets—such as interstellar observations and high‑resolution medical images—to derive precise insights, but conventional computing pipelines struggle with the required coordinate transformations, optimization speed, and AI‑driven analysis across vastly different scales.
Solution
Data T delivers a quantum‑enhanced spatial computing platform that fuses interstellar astronomy data, medical imaging, and multimodal AI analysis into a unified workflow. The system performs high‑precision coordinate transformations and quantum‑accelerated optimization, enabling applications ranging from exoplanet habitability modeling to intra‑operative tumor mapping. Underlying quantum backends provide active error correction and execute up to 1,024 quantum shots per task, while mesh generation supports resolutions of 500 vertices for detailed spatial representations. Integrated AI models automatically segment and map pathological features in medical scans, and correlate them with astronomical datasets for cross‑domain research. Results are streamed to a secure cloud service where users can access analytics via APIs or web dashboards, abstracting the complexity of quantum hardware. The platform is designed for scalable, interdisciplinary use without requiring specialized quantum‑computing expertise.
Target Audience
Primary customers include astrophysicists conducting exoplanet and habitability studies, medical imaging and surgical planning teams requiring AI‑assisted tumor mapping, and data scientists building cross‑domain spatial analysis pipelines.
Features
- Quantum backend with active error correction delivering up to 1,024 shots per computation
- High‑resolution mesh generation (500‑vertex meshes) for precise spatial modeling
- AI‑driven tumor segmentation and mapping integrated with medical imaging pipelines
- Coordinate transformation engine that aligns astronomical and clinical datasets across scales
- Quantum‑accelerated optimization algorithms for rapid cross‑domain data fusion
- Ingestion framework for large interstellar data streams and high‑definition medical scans
- RESTful APIs and web dashboard for seamless integration into existing research and clinical workflows
- End‑to‑end encrypted cloud analytics ensuring data security and compliance