In an evolving regulatory landscape shaped by Food Safety and Standards Authority of India norms and global compliance demands, AI is emerging as a critical enabler for the food industry. In this exclusive interaction, Rajeev Ranjan, Editor, Digital Terminal, speaks with Dr. Rashida Vapiwala, Founder and CEO of LabelBlind, who explains how FoLSol AI is transforming food labelling through rule-based automation, reducing compliance timelines, costs, and risks. She also shares insights on India’s AI adoption journey and how intelligent compliance systems will drive scalability, transparency, and faster approvals across the ecosystem.
Rajeev: How is LabelBlind leveraging its FoLSol AI platform to streamline food labelling compliance and regulatory workflows for brands?
Dr. Rashida: FoLSol AI plays a critical role in strengthening labelling compliances for food products. It is rule-based and regulation-mapped. not prompt-dependent like general LLM models. It uses ready-to-refer clauses and recommendations, designed from a regulatory point of view by verifying 53 Parameters of FSSAI and legal metrology labelling standards in a streamlined process flow automation for teams. FoLSol AI is developed using enterprise grade AI-architecture with strong security and data protection at core. Data process occurs within secured cloud environments with encryption.
FoLSol AI systems therefore strengthens compliances at scale, from product compliance level, all the way to product packaging level.
Rajeev: Can you share specific use cases where FoLSol AI has helped reduce turnaround time, errors, or compliance risks for clients?
Dr. Rashida: Yes, what we consistently see is a dramatic reduction in both turnaround time and compliance risk, especially for brands scaling across SKUs or entering export markets.
For example, what earlier took 4–8 hours per label across label regulatory checks, nutrition validation can now be completed in under 4 minutes using FoLSol AI. By automating repetitive tasks, accelerating time to market, and enabling seamless expansion across multiple countries (currently operational in India and Singapore), we are making compliance significantly more efficient, reducing timelines to nearly 1/10th.
With this system, we have sharply reduced reliance on external consultants, lowered annual compliance costs by over 60%, and strengthened audit readiness through automated, cloud-based record and document management.
Rajeev: Globally, markets like the US and EU are embedding AI into compliance systems—how do you see India comparing today?
Dr. Rashida: India is at a very important inflection point, we are not behind, but we are just at the beginning of structured AI adoption in regulatory compliance. The future has just begun, and we are actively building towards enabling India to match and lead in this space. Globally, regulatory ecosystems are already moving towards digitisation and AI-led validation, but India’s complexity with evolving FSSAI norms, diverse product categories, and growing exports, actually makes it a strong candidate for AI-first compliance systems.
Today, much of the ecosystem still relies on manual interpretation, consultant dependency, and reactive corrections. LabelBlind is at the intersection of regulation, technology, and industry adoption - both in India and globally. That’s why we have built FoLSol® AI - India 1st AI-led Global Exports Label Compliance System to achieve that. To help shift this mindset by introducing compliance, speed, and accuracy. We do not just cater to Indian regulations, we’re enabling Indian products to meet international compliance standards and scale seamlessly across global markets. As adoption increases, India has the opportunity to lean into a more scalable, tech-enabled compliance infrastructure.
Rajeev: With evolving FSSAI norms, what are the key challenges food companies face in staying compliant, and how can AI address them?
Dr. Rashida: Keeping up with ever-evolving regulation and ensuring that all SKUs and variations are compliant is a challenge for most brands in the food industry.
Most brands struggle to interpret vague guidance, manage the frequency of changes, verify claims, ensure correct ingredient declarations and ensure their label is in compliance while scaling their product portfolio. These challenges can lead to errors, rework, or increased compliance risk. A regulatory trained AI system, FoLSol, exceeds these challenges by centralising all regulations, continuously updating them and applying them consistently across all systems.
FoLSol is able to proactively notify clients of non-compliance in real-time, verify that claims on product formulations are accurate and prepare every output (domestic or export) to be audit ready. Therefore, compliance becomes a streamlined and scalable process instead of a limiting factor for brand growth.
Rajeev: Do you believe AI-led compliance can become a core infrastructure layer for India’s food ecosystem, especially as exports grow?
Dr. Rashida: Certainly, AI-driven compliance will lay the foundation for global food systems as India looks to expand its presence around the world. India has a diverse range of products that are being adopted by an ever-growing number of country locations, leading to an increase in the global demand for Indian-made goods.
With increased exports comes complexity in meeting different countries' regulation, language and labelling requirements. Traditional business models typically cannot scale properly in this area. AI solutions like FoLSol provide a single software platform for multi-country compliance, multilingual labelling and automated validation, thus enabling companies to expand globally more rapidly and with greater reliability. AI creates increased trust with regulators and consumers by lowering the cost of each labelled item, removing costs associated with producing low-volume items, and providing product consistency, all critical factors that will help India to confidently compete in global markets.
Rajeev: Looking ahead, how will AI reshape the speed, scale, and transparency of regulatory approvals in India’s food industry?
Dr. Rashida: The way we comply with regulations is about to be changed by Artificial Intelligence. The previous lengthy and labour intensive process for completing compliance checks is going to become a quick, manageable and ongoing process. Compliance checks used to take anywhere from 4 to 8 hours; now they occur in real-time and take only 3 minutes. The speed of compliance checks has changed dramatically, as will the amount of work that can be completed every day. In the future, the time from submission to approval will be drastically reduced due to compliance check processes being built into every aspect of the manufacturing process, from formulation to label development, rather than just after the product has been developed and is ready to be shipped.
Compliance checks will occur nearly instantaneously, resulting in fewer errors due to incorrect information or mistakes made during the completion of the compliance check process, thereby providing a higher level of confidence for regulators in the data they receive. Through the implementation of systems like FoLSol, documentation will be generated and maintained automatically to improve traceability and ensure compliance with regulations. This will greatly enhance and improve speed and provide transparency throughout the entire ecosystem, thus ultimately assisting both the industry and its regulatory bodies to move toward a proactive approach to ensuring compliance.
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