NaaViC, Agri-Business Incubation Centre

About NaaViC

NIVEDI‘s NaaViC, Agri-Business Incubation Centre (NaaViC) was established at ICAR-National Institute of Veterinary Epidemiology and Disease Informatics, Bengaluru in 31st January, 2019. The center is unique in kind in the field of veterinary science incubator. The only veterinary sector incubator located in south India. This centre facilitates incubation of new startups/entrepreneurs & enterprises for innovative technologies by providing need based physical space for administrative and laboratory work, technical, business and networking support, facilities and services to test and validate their venture before successful establishment of enterprises.

The incubator facilitates unparalleled technical and business mentorship, network of industry as well academic experts. It also provides access to government grants and funding platforms. Currently the NaaViC is implementing RKVY-RAFTAAR to promote agripreneurs in fields of agriculture and allied sectors. Under this scheme NaaViC launched two programmes viz., NEO (Nurturing Entrepreneurs through Orientation) for ideapreneurs to convert their idea to prototype and NEST (Nurturing Entrepreneurs with Sustainable Technologies) for startup companies to launch and commercialize their product.

In 2019 we changed the game

2019NaaViC was established on 31st January

2020Conducted first cohort of incubation

2021Conducted second & third cohort of incubation

2022Conducted fourth & fifth cohort of incubation

2023Conducted sixth & seventh cohort of incubation

2024Conducted Eighth cohort of incubation

About NIVEDI

National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI) is the only institute catering to the needs of surveillance and monitoring of livestock diseases and thereby caring for the country’s animal health. Livestock population and disease profiles available in the databank are the cynosure of the institute. Different units of NIVEDI are working towards designing of various forecasting and forewarning modules in order to predict the livestock disease outbreaks.