An AI-driven platform that uses consumer digital twins to model demand, auto-generate recipe variants, and simulate manufacturing conditions. It accelerates concept-to-pilot cycles by up to 80% and optimizes formulations through iterative learning and validation using sensory protocols and real-time data integration. Designed to integrate securely with existing CPG environments and support onboarding of historical formulations, sensory scores, and process logs.
An AI-driven platform designed to advance product development in consumer packaged goods (CPG) industries. By leveraging integrated consumer digital twins, the platform predicts consumer demand, auto-generates recipe variants, and simulates manufacturing conditions. This approach reduces concept-to-pilot cycles by up to 80%, optimizing formulations through an iterative process validated by standard sensory protocols and real-time data integration.
Key features:
This platform is fully operational with a Technology Readiness Level (TRL) of 9, indicating it is ready for commercial deployment. It is currently in use across CPG environments, offering an innovation engine with in-house control.
RegulateCPG provides an AI-powered compliance and product lifecycle management platform designed for the food and beverage consumer packaged goods (CPG) industry. The company offers a suite of tools, including its InsightSuite and IntelliSync platforms, which automate critical workflows such as nutrition data capture, ingredient and recipe management, supplier documentation, and regulatory filing. By integrating formulation logic and supply chain data into a unified, digital system, the platform replaces traditional, manual processes like spreadsheets and email-based communication, enabling brands to maintain compliance with international standards such as FDA and CFIA requirements.
For CPG brands and manufacturers, RegulateCPG addresses operational bottlenecks and compliance risks inherent in bringing products to market. The technology provides a verified system of record for formulations and labels, aiming to accelerate the product development lifecycle from concept to consumer. Originally incubated within the Helmsman Group, the company serves both food and supplement enterprises, leveraging advanced machine learning to facilitate market readiness and innovation. In 2025, the company expanded its operations by establishing a Canadian headquarters in Vancouver to further develop its AI and reinforcement learning capabilities for factory automation and predictive modeling.