Transforming Global Healthcare Through AI and Deep Tech
Building the AI Operating System for Global Cancer Diagnostics — combining Deep Learning, Symbolic Reasoning, and Explainable AI to deliver accurate, reliable, and transparent cancer detection. India’s First Patented Neuro-Symbolic AI Platform.
About NeuraXion Labs
NeuraXion Labs is an AI-first healthcare innovation company committed to transforming global healthcare through artificial intelligence and deep tech — building the AI Operating System for Global Cancer Diagnostics.
Why NeuraXion Labs
- AI alone is not enough — explainable, scalable, and clinically aligned AI is the future of healthcare
- Complex cancer diagnostic workflows benefit from a unified AI foundation model
- India-born oncology foundation model trained on large MRI/CT scan datasets
- Patent-backed and peer-reviewed scientific foundation
- Multi-organ diagnostic capability
- Designed for government, rural, and global deployment
- Solving healthcare inequality at scale
- Better, faster, and fairer cancer diagnostics — saving lives and reducing costs
- Strong first-mover advantage in AI-driven cancer and tumor diagnosis
India Patent filed and approved (June 2025, Patent No. 202511054456). Published and cited in multiple international conferences and high-impact journals, reflecting strong scientific rigor and global recognition.
Founded by Dr. Ambuj Kathuria — IIM & Harvard alumnus with 25+ years in AI — incubated by Startup India, Google, Chitkara University, and GL Bajaj Institute.
Market Need
Current cancer and tumor diagnosis relies heavily on radiologists manually interpreting MRI/CT/PET scans. This process is slow, prone to human error, and inadequate for early-stage or complex tumor cases — leading to delayed treatments, higher mortality, and rising healthcare costs.
The WHO projects a shortage of 15 million health professionals by 2030. No structured platform exists for multidisciplinary cancer case review in India. Each scan currently costs Rs 20–50k with multiple consultancies required. Low and middle-income countries (LMICs) are severely underserved.
Our objective: Cut cost by 1/3 while ensuring equitable access to life-saving cancer diagnostics for every individual worldwide. Democratize expert opinion for complex cases.
Value Proposition and Impact
Clinical Impact
TumorXpert's high diagnostic precision enables faster, more targeted interventions, increasing survival rates and reducing long-term neurological impairment in patients.
Operational Efficiency
Automated triaging reduces the workload on specialized radiologists, empowering primary care and district health centers to handle advanced diagnosis — mitigating staff shortages and urban-rural disparities.
Economic Value
Early, accurate diagnosis reduces repeat imaging, misdiagnosis costs, and late-stage treatment expenses. Cuts diagnostic cost by 1/3 through Tele Radiologist platform.
Wider Coverage and full-blown diagnosis solution for all type of Tumor/ Cancer:
Foundation model will be leveraged to enable similar diagnosis for all other types of cancers — Skin, Lungs, Breast, Stomach, Throat, and more. India's first multi-organ oncology AI platform.
Scalability & Accessibility
Secured cloud-ready, hardware-light deployment ensures rapid adoption across government hospitals, rural health centers, and global facilities with minimal IT investment, including public hospitals and rural clinics.
Direct to Patients (D2P)
First structured platform providing patients secured video consultation between oncologists, radiologists, and pathologists — democratizing expert cancer opinion for complex cases at 1/3 cost.
Market Problem
Objective is to cut cost by 1/3 ensuring equitable access to life-saving cancer diagnostics for every individual worldwide. Democratizes expert opinion for complex cases
Manual Medical Imaging Interpretation
Current cancer and tumor diagnosis relies heavily on radiologists manually interpretation on MRI / CT/ Pet scans. This process is slow, prone to human error, and inadequate for early-stage or complex tumor cases.
Rising Cost Burden
No structured platform for multidisciplinary cancer case review in India, multiple cost Currently each scanning costing Rs 20-50k and require multiple consultancies Low- and middle-income countries (LMICs) are severely underserved.
Shortage of Specialists
The WHO projects a shortage of 15 million health professionals by 2030. AI is being bought as a "force multiplier" to help existing staff manage growing workloads. Lack of specialist , leading to delays, errors, and mislead diagnosis.
Lack of Scalable, Explainable AI Solutions
Existing AI solutions offer limited accuracy, poor real-world generalization, and no explainability. This creates trust issues and regulatory hurdles, slowing adoption.
How our Innovation solve this Market problem
- TumorXpert – AI-Powered Diagnostic Platform
A patented neuro-symbolic AI system that combines deep learning, symbolic reasoning, and explainable AI to deliver highly accurate, reliable, and transparent cancer diagnostics across multiple tumor types.
- Explainable & Clinically Aligned Foundation Model for Oncology
Large foundation model for cancer diagnostics, adaptable for brain, lung, breast, skin, gastrointestinal, throat, and other cancers.
- Tele Radiologist
First AI-assisted radiology platform powered by TumorXpert and AI, analyzes the medical images, creates a diagnostic report and sends it back to the referring doctors within minutes to hours at 1/3 cost. It can act as BPO service offering for every Hospital/ Cancer Diagnostic center.
- Virtual Tumor Board (Direct to Patients) Platform
First structured D2P platform, provide Patients and Hospitals in Tier 2/ tier 3 cities a secured video consultation between oncologists, radiologists. It create impact in democratizes expert opinion for complex cases across geographies.
Vision and Mission
- Our Vision
To shape the future of global health through AI and deep tech, ensuring equitable access to life-saving cancer diagnostics for every individual worldwide.
- Our Mission
NeuraXion Labs is committed to shaping the future of global health through tele-radiology by integrating explainable and scalable AI into medical imaging and oncology workflows.
