SILICOSAFE

SilicoSafe is a health-tech startup focused on protecting workers exposed to silica dust through early, non-invasive screening and continuous risk monitoring. Silicosis is irreversible and often detected too late; SilicoSafe shifts detection upstream—before symptoms become severe. Our solution uses breath-based VOC sensing combined with AI risk modeling to assess early lung stress linked to silica exposure. Workers simply exhale into a compact device; the system analyzes exposure patterns, physiological signals, and metadata to generate a clear, actionable risk index. This enables timely medical follow-up, workplace intervention, and long-term exposure tracking. Designed for mines, construction sites, stone-cutting units, and MSMEs, SilicoSafe prioritizes affordability, portability, and scalability. By integrating edge sensing with intelligent software, we aim to bridge the gap between hazardous workplaces and accessible preventive healthcare—protecting lives before it’s too late.

We are a small, focused, interdisciplinary team driven by a single mission: to prevent occupational lung diseases before they become irreversible. Our team brings together strengths in electronics and sensor systems, AI/ML, embedded hardware, and applied research, allowing us to build end-to-end solutions—from sensing to intelligent decision-making. With a strong hands-on mindset, we design and prototype our own hardware, develop data pipelines, and train AI models grounded in real-world constraints rather than lab-only assumptions. We combine engineering rigor with social responsibility, ensuring our solutions are not only technically sound but also practical, affordable, and deployable in high-risk workplaces. Guided by continuous experimentation and evidence-based design, our team works closely with academic research, field insights, and iterative testing. We believe impactful innovation happens at the intersection of deep tech, healthcare, and empathy for the people most affected.