
INanoBio
INanoBio is developing a highly accurate portable $100 per run whole genome Sequencer.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor | €0.0 | round |
investor | €0.0 | round | |
N/A | $3.3m | Early VC | |
Total Funding | 000k |
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INanoBio is a biotechnology firm focused on developing highly accurate, early-stage disease diagnostics. The company was co-founded by Dr. Bharath Takulapalli, who serves as the Chairman and CEO. Dr. Takulapalli's background is extensive, with a Ph.D. from Arizona State University and post-doctoral research at the University of California, Berkeley, in nanoscience and nanotechnology. He has authored numerous patents and publications in the field, providing a strong scientific foundation for the company's direction.
The core of INanoBio's business revolves around its proprietary Field-Effect Nanopore Transistor (FENT) platform. This technology is engineered to detect disease-specific molecular biomarkers and their signatures at the pre-symptomatic stage. The platform's objective is to enable early and personalized therapeutic interventions, aiming to prevent the full development of diseases and advance the practice of preemptive medicine. By analyzing systems-scale information from complex disease biology, INanoBio aims to provide a new level of diagnostic precision. The company's business model is centered on leveraging this nano-biotechnology platform, combined with machine learning, to create diagnostic tools for the healthcare and life sciences market.
INanoBio's primary product is its FENT-based diagnostic platform, which represents a significant departure from conventional diagnostic methods. Its key feature is the ability to perform rapid, selective, and sensitive detection of biomolecules directly from complex biological samples like blood. This capability is designed to offer a substantial benefit by simplifying sample preparation and providing quicker results. One of the platform's unique selling points is its versatility, having demonstrated the ability to detect a range of targets including proteins, DNA, and small molecules, making it adaptable for various diagnostic applications, from cancer to infectious diseases. Keywords: diagnostics, biotechnology, nanotechnology, machine learning, preemptive medicine, molecular biomarkers, FENT platform, life sciences, healthcare technology, early disease detection