Turning every cough into an early warning system for tuberculosis
17 Indonesians
die from tuberculosis every hour
Many TB cases are missed or diagnosed too late because symptoms resemble common cold or mild illness
Rural areas face challenges accessing molecular tests and chest X-rays for proper screening
Late detection leads to ongoing transmission and financial strain for families and health systems
Simple, fast, and accurate TB pre-screening in three steps
Users or health workers record a short cough sample through our mobile app
Our AI analyzes acoustic patterns and symptoms to predict TB risk (Positive, Negative, or Inconclusive)
Results connect securely with SITB, SATUSEHAT, or partner APIs for confirmatory testing and reporting
Multi-agent AI framework ensuring reliable, safe, and explainable decision-making
The analysis involves a network for spatial pattern recognition and an ensemble algorithm for final classification
Suggests next steps and recommendations for health workers and patients
Routes high-risk cases to clinical partners for immediate attention
Delivers verified TB education via RAG-based chat system
These agents collaborate in a closed-loop system validated by clinicians and community health workers
Engineers, strategists, and health innovators united to make early respiratory screening accessible for everyone.
Project Lead
Digital Health and Market Access professional with a background in Biomedical Science and 5+ years track record of leading hospital transformation projects across Indonesia. Skilled...
AI Product Architect & Research Lead
Leading the AI product direction and multi-agent architecture at RespiraHub. Bridging research, engineering, and public health to develop compliant, open, and scalable systems that enable...
Strategy & Operations Lead
Health-tech strategist with hospital roots, integrating business strategy, operations, and digital transformation to scale patient-centered healthcare systems. Experienced in leading cross-functional teams and translating complex...
Principal Software Engineer
Driving the strategic and technical vision behind Respirahub. Focused on building scalable, data-driven systems that bridge healthcare and technology, aligning engineering decisions with long-term clinical...
Public Health Advisor
Medical doctor, entrepreneur and health influencer with millions of followers, driving nationwide conversations on healthcare access and trust. Advises RespiraHub on patient behavior, adherence, and...
Open innovation drives faster progress and greater impact
Supports data automation, secure model operations, and synthetic dataset expansion to keep RespiraHub's AI ethical and compliant.
For clinical validation and deployment
For integration with national TB systems
To embed pre-screening into telehealth
For new respiratory disease models
"Open collaboration is our operating system. We build the tech — the ecosystem saves the lives."
Making AI-driven respiratory pre-screening accessible at scale
Identifies TB suspects before it's too late, saving lives through timely intervention
No reagents, no labs, minimal training required for deployment
Works anywhere, even with low connectivity in remote areas
Designed for seamless health system integration with existing platforms
To make AI-driven respiratory pre-screening accessible at scale — bridging the gap between technology, healthcare, and communities.
RespiraHub — AI for Early TB Detection.
Technology First. Collaboration Always.