LabelBlind’s AI-powered food labelling solutions

Unveiled at Indusfood 2026 — FoLSol 2.0 platform for digitizing regulatory compliance

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LabelBlind
Rashida Vapiwala, founder & CEO, LabelBlind Solutions at Indusfood 2026 in Greater Noida. Photo IFB

Mumbai-based LabelBlind Solutions, a growing name in AI-led digital food labelling SaaS company, has unveiled FoLSol 2.0, its proprietary AI-powered food labelling platform that helps food businesses achieve effortless, real-time FSSAI compliance amid an increasingly complex regulatory environment at Indusfood 2026.

According to Rashida Vapiwala, founder & CEO, LabelBlind Solutions, India’s food processing industry, projected to reach US$ 535 billion by the end of FY26 and contributing around 14% to the economy, is grappling with heightened compliance demands, expanding product portfolios, and growing global export commitments. Companies face mounting challenges across multiple SKUs, packaging formats, and labelling standards, leading to delays, operational inefficiencies, and regulatory risks.

At present, LabelBlind is digitizing regulatory compliance for labeling for 22 international markets, including India, the US, the UK, Canada, Gulf countries, the entire European Union, and some Southeast Asian countries such as Singapore, Hong Kong, and Malaysia. The idea is to enable food companies to generate labels that are compliant in an automated and digitized manner to save time and reduce human error. The labels generated in FoLSol (an acronym for food label solutions) are 100%-complaint for a country’s regulations.

Although the idea has been there since 2018, the company was incorporated in October 2023. It has a 22-member team comprising regulatory experts, software and AI engineers, and divisions for sales and marketing. LabelBlind was created to ensure safety among consumers, as before the pandemic, reading labels was not a common practice. It has worked with FSSAI on a project for FoPL (Front-of-Pack Labeling), which gave the company a chance to work with more than 35 food and beverage manufacturing companies.

FoLSol 2.0 directly addresses these pain points with two industry-first innovations that redefine the way regulatory teams manage compliance:

AI-Based label validation: The platform’s proprietary AI engine validates finished label artworks against 50+ FSSAI parameters within minutes. It delivers precise ‘compliant / needs review’ results supported by contextual regulatory references and summaries — cutting review time by up to 90% and ensuring higher accuracy than traditional manual checks.

Print-a-Label: This breakthrough feature allows food businesses to auto-generate 100% compliant labels in customized formats directly through the platform, removing the need for external design software and streamlining workflows for both domestic and export markets.

She said, “India is entering a new era of food safety and regulatory intelligence. With FoLSol 2.0, we aim to transform compliance from a check-box exercise into a strategic enabler of trust, transparency, and global competitiveness. Our vision is to make every Indian food business confidently compliant in the face of evolving regulations. This is how AI and technology can power India’s ambition to lead the world in food safety systems and export excellence.”

FoLSol 2.0 sets a new benchmark in operational efficiency and regulatory compliance for India’s food industry. Automating label validation and simplifying multi-market exports, it allows businesses to save time, reduce errors, and focus on growth and product innovation, supporting the sector’s continued expansion in both domestic and international markets.

For LabelBlind, Indusfood is a platform that allows it to be among the brands aspiring for global markets, being an export-centric event. And she feels that FoLSol 2.0 will be a game changer for both big and small brands, so they can focus on the product integrity while LabelBlind focuses on the regulatory compliance. It is entering strategic partnerships with leading food companies to apply the solutions in different business environments to advance the capabilities of the AI model.

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Naresh Khanna – 10 February 2025

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