GREENFLORA BIOSCIENCES PRIVATE LIMITED Profile Photo

GREENFLORA BIOSCIENCES PRIVATE LIMITED

(Green Flora)

2 Published Patents

Founded in 2015

About GREENFLORA BIOSCIENCES PRIVATE LIMITED

Greenflora Biosciences Private Limited is a startup that specializes in R&D activities utilizing classical and molecular breeding techniques to discover plant products with nutritional benefits.

Key Founders and Directors of GREENFLORA BIOSCIENCES PRIVATE LIMITED

Key Focus Areas of GREENFLORA BIOSCIENCES PRIVATE LIMITED

Agri Horticultural Products +1 more focus area

Incubators & Accelerators of GREENFLORA BIOSCIENCES PRIVATE LIMITED

+2 more incubators

Frequently Asked Questions (FAQ)

When was GREENFLORA BIOSCIENCES PRIVATE LIMITED founded?

GREENFLORA BIOSCIENCES PRIVATE LIMITED was founded in the year 2015.

What is the legal name of GREENFLORA BIOSCIENCES PRIVATE LIMITED?

The legal name of GREENFLORA BIOSCIENCES PRIVATE LIMITED is Green Flora.

Who are the founders of GREENFLORA BIOSCIENCES PRIVATE LIMITED?

GREENFLORA BIOSCIENCES PRIVATE LIMITED is founded by Sutan Paranjothi

Which Incubators & Accelerators supported GREENFLORA BIOSCIENCES PRIVATE LIMITED?

GREENFLORA BIOSCIENCES PRIVATE LIMITED is supported by Incubators & Accelerators like Anand Institute Of Higher Technology, Chennai and 2 others.

What are the focus areas of GREENFLORA BIOSCIENCES PRIVATE LIMITED?

The key focus areas of GREENFLORA BIOSCIENCES PRIVATE LIMITED are Agri Horticultural Products and 1 other.

Who are GREENFLORA BIOSCIENCES PRIVATE LIMITED's competitors?

Possible competitors of GREENFLORA BIOSCIENCES PRIVATE LIMITED may include Arowana Private Limited, Divine Life Care Private Limited, Evasolutions and 7 others.

Get Access to Complete Information

Signup Now

YNOS is not associated with any of the entities (organisations / people) mentioned in this page. Information provided here has been curated from multiple public as well as proprietary sources. All efforts have been taken to make it accurate and complete. If details are insufficient or not accurate, kindly suggest edits