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Our Business Verticals

BioNome Academia
BioNome CRO
BioNome Tech Space

BoNome Academia

BioNome Academia is dedicated to advancing education, research, and innovation in the field of Life Sciences. The Board’s primary mandate is to train aspiring researchers and professionals in diverse areas of Bioinformatics, Biotechnology, and Computational Biology, while promoting high-quality research and skill development.

Established under BioNome Private Limited, Bangalore, the Board has made significant strides since 2020 by launching a range of training programs, internships, and research initiatives in collaboration with the Council of Life Science, New Delhi, under the “Innovative Programme – Teaching & Research in Interdisciplinary and Emerging Areas.”

BioNome Academia provides hands-on training through dedicated wet lab and dry lab facilities equipped with advanced instruments and computational infrastructure. Learners gain practical exposure to real-world research methodologies, ensuring strong conceptual understanding and technical proficiency.

Our commitment extends beyond training — placement support and career guidance are integral parts of every program. Many of our students and research scholars have successfully secured positions in leading Pharma, research centers, and biotech industries across India and abroad.

With ongoing research in molecular evolution, systems biology, structural biology, and molecular modeling, BioNome Academia continues to contribute to the scientific community through innovative projects and publications in reputed national and international journals.

CRO and Product Development

BioNome CRO (Contract Research Organization) is the research and innovation arm of SRNome Private Limited, dedicated to providing high-quality scientific and technical solutions to the pharmaceutical, biotechnology, and healthcare industries.

We specialize in Bioinformatics, Cell Culture, and Analytical Services, supporting end-to-end research and development needs of our clients — from target discovery to validation.

Our expert team combines deep scientific knowledge with advanced infrastructure to deliver accurate, reproducible, and time-bound results across multiple domains:

  • Bioinformatics & Computational Biology: Drug discovery, molecular docking, dynamic simulations, next-generation sequencing (NGS) data analysis, and virtual screening.

  • Cell Culture Services: Cell line maintenance, cytotoxicity testing, stem cell research, and assay development for pre-clinical studies.

  • Analytical Services: Comprehensive analysis using LC-MS/MS, GC-MS, HPLC, NMR, and other state-of-the-art analytical instruments for compound profiling, purity testing, and method development.

Our focus is on scientific excellence, data integrity, and client satisfaction. We work closely with academic institutions, biotech startups, and pharmaceutical companies to accelerate innovation and bring research ideas closer to real-world application.

BioNome Tech Space

BioNome Tech Space is the technology solutions division of BioNome Private Limited, specializing in the design and assembly of customized workstations and servers tailored to meet the diverse computational needs of researchers, institutions, and industries.

We understand that every project and organization has unique performance and budget requirements. At BioNome Tech Space, we provide personalized hardware configurations — from high-performance AI and Deep Learning servers to Bioinformatics, Molecular Modeling, Graphics, and Data Analysis workstations — all optimized for speed, stability, and scalability.

Our solutions are built using trusted components and designed to deliver maximum efficiency within the customer’s budget. Whether for academic research, pharmaceutical development, healthcare analytics, or industrial applications, BioNome Tech Space ensures reliable computing power to drive innovation.

With a focus on performance, affordability, and long-term support, we aim to empower scientists, engineers, and businesses with the right tools to achieve their research and computational goals efficiently.