SWITZERLAND – SGS has announced the integration of its regulatory intelligence platform, SGS Digicomply, with Agroknow, a food safety analytics company specializing in artificial intelligence-driven risk intelligence, to create a new digital platform known as SGS FoodNexus.
The new platform is designed to help food companies manage food safety, compliance, supplier, and regulatory risks through a single digital environment that combines regulatory monitoring, predictive analytics, and risk intelligence.
The announcement comes as food manufacturers and global supply chains face growing pressure from shifting regulations, expanding supplier networks, and increasing volumes of food safety data.
Companies are also dealing with tighter import controls, more frequent recalls, and rising expectations around traceability and audit preparedness.
Bringing regulatory and risk intelligence into one system
According to SGS, the platform combines three core areas: the company’s global inspection and quality assurance expertise, Agroknow’s food safety analytics capabilities, and SGS Digicomply’s regulatory intelligence tools.
The combined system is expected to allow businesses to monitor regulatory updates, identify emerging risks, and organize audit-ready documentation across supplier networks.
SGS said existing clients of both Agroknow and SGS Digicomply will continue using their current solutions while gaining access to expanded capabilities as the unified platform develops over the next year.
“With SGS FoodNexus, we’re not just merging technologies, we’re establishing a new global standard for food intelligence,” said Géraldine Picaud in the company announcement.
Nikos Manouselis said the integration aims to combine regulatory data, food safety incidents, and machine learning tools within a single environment to improve how risks are identified and managed.
Focus on predictive food safety management
SGS FoodNexus will include tools designed to support a more predictive approach to food safety management rather than relying only on reactive compliance systems.
The company says the platform will provide real-time tracking of global food regulations, standards, and safety alerts while mapping them against ingredients and product portfolios.
Another component will use machine learning models to analyze recalls, border rejections, import refusals, and food monitoring data to identify potential warning signals before risks escalate further.
The platform is also expected to support audit preparation by converting external compliance and safety information into structured reports aligned with standards such as Global Food Safety Initiative frameworks and the U.S. Food and Drug Administration Food Safety Modernization Act.
Additional features will include supplier and ingredient risk benchmarking, testing prioritization support, and AI-powered search tools that allow users to ask regulatory or risk-related questions in plain language.
Expansion beyond traditional compliance systems
The rollout also includes plans for Data-as-a-Service integration channels that would allow companies to connect food safety intelligence directly into enterprise systems such as product lifecycle management platforms, enterprise resource planning systems, and internal risk models.
Food manufacturers and retailers have increasingly been investing in predictive technologies, artificial intelligence, and supply chain intelligence tools as regulatory scrutiny around traceability, contaminants, allergens, and import compliance continues to increase globally.
In recent years, food companies have also faced growing operational pressure linked to climate-related supply disruptions, fraud risks, changing labeling requirements, and faster-moving international recalls.
Growing use of AI in food safety monitoring
Artificial intelligence tools are becoming more visible across food safety and quality management systems, particularly in areas such as hazard prediction, supplier verification, fraud detection, and regulatory monitoring.
Companies developing AI-driven food safety systems have been focusing on analyzing large datasets from recalls, inspection reports, laboratory results, trade alerts, and scientific publications to help identify patterns that may not be easily detected through manual review alone.
SGS said additional details about the FoodNexus rollout and platform development will be announced over the coming months.