FDA-audited CRO for in vitro testing and analytical services
VitelyBio is an India-based contract research organization offering in vitro bioequivalence, analytical, and microbiological testing for pharma, nutraceutical, and cosmetic developers. The tech stack reveals a dual operational shape: LC-MS/MS and lab instrumentation for wet-lab work, paired with Node.js, React, PostgreSQL, and AWS for data management and automation. Active pain points around out-of-spec deviations, QMS strengthening, and computerized system validation suggest they're scaling quality infrastructure alongside growth—hiring is accelerating across research and engineering.
VitelyBio operates as a US FDA-audited contract research organization based in Ahmedabad, India, serving pharmaceutical, nutraceutical, herbal, and cosmetic companies. The organization specializes in in vitro bioequivalence studies, in vitro characterization, analytical testing, and microbiological services across product development and lifecycle stages. Current operational focus spans method development, sample analysis, system audits for in vitro regulatory testing, and regulatory audit response preparation. The company manages quality through systematic R&D, regulatory compliance frameworks, and documented processes. At 51–200 employees with accelerating hiring velocity, VitelyBio is scaling research capacity and engineering support functions.
VitelyBio provides in vitro bioequivalence studies, analytical testing, microbiological services, and pharmaceutical characterization for pharma, nutraceutical, herbal, and cosmetic companies. Facilities are US FDA-audited.
Lab instrumentation includes LC-MS/MS. Operations run on Node.js, React, PostgreSQL, and AWS. Analysis tools: SAS, JMP, Python. Accounting: SAP, Tally, Zoho Books, QuickBooks. Testing automation: Selenium, Playwright, Cypress.
VitelyBio's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.