Asia 6| Enabling FMCG manufacturers to cut down product development losses and hasten speed to market.


FMCG manufacturers lose up to $40B USD annually in product development trials in their quest to launch new products. Navarasa’s neural networks-based software saves manufacturers up to $4M USD annually per factory while cutting down development time from 12 to 4 months.

Our solution predicts the parameters that FMCG factories should use in their R&D and manufacturing process to get the desired output, reducing the need for multiple manual iterations. We are in trials with a Singapore-based nutraceutical supplier and one of the world’s largest chocolate & cocoa manufacturers.

Meet The Founders

Pragjyoti is an MBA-software engineer with an IT- Business approach to FMCG B2B2C sales & business development with a decade of experience in the fragrance industry. She has worked with Givaudan, the world’s largest fragrance and flavour supplier handling FMCG giants like P&G, L’Oreal and Johnson & Johnson.

Alvin has created and implemented a machine learning model for GIC which helps them allocate capital in light of changes in international financial regulations. He has three years of experience in analytics and machine learning, and has also had successes in performance marketing and growth hacking.

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