Proprietary AI system for natural preservative prediction
InFLOWS AI introduces 'Kai', an advanced AI system designed to predict natural preservative molecules. It enables the identification of ingredients like Raspberry Ketone and Maltol for cosmetic and food applications, replacing synthetic preservatives.
Overview
InFLOWS AI presents 'Kai', a cutting-edge AI system engineered to revolutionize the identification of natural preservatives. This proprietary technology applies advanced AI algorithms to the molecular structures of ingredients, enabling the discovery of new molecules suitable for specific applications. It facilitates the identification of natural alternatives to synthetic preservatives, offering innovative solutions for industries such as cosmetics and food.
Technical specifications
Key features:
- Utilizes AI to analyze molecular structures and predict potential natural preservatives
- Has successfully identified ingredients such as Raspberry Ketone and Maltol with promising preservative properties
- Adaptable to various industries, including cosmetics and food, enhancing product formulation and sustainability
- Offers customizable research projects to explore specific product types and requirements
Technology readiness level
The AI system 'Kai' is currently at Technology Readiness Level 3, indicating that it has been applied in laboratory settings and is ready for further experimental validation with industry partners.
About InFLOWS AI
InFLOWS AI is a technology company that has developed a generative AI platform designed to accelerate sustainable formulation discovery in the chemical industry. The company's core engine, known as Kai, leverages proprietary chemical language modeling and datasets to help manufacturers identify, qualify, and replace toxic ingredients with greener, safer, and bio-based alternatives. By utilizing advanced algorithms and digital embeddings of chemical signatures, the platform automates data processing and provides design guidance, enabling teams to reduce complex testing cycles from months to days. The system adheres to green chemistry principles and provides its functionality through a suite of tools, including the SwapFLOW API, which integrates into existing enterprise workflows to support R&D at scale.
This technology provides significant value to manufacturers in sectors such as personal care, food, pharmaceuticals, and specialty chemicals by simplifying the transition to more sustainable product portfolios. By enabling virtualized ingredient compatibility testing and multi-dimensional optimization, the platform helps companies meet consumer demand for eco-friendly products while improving supply chain resilience and reducing R&D costs. Founded in 2021 and headquartered in New York, InFLOWS AI assists teams in harmonizing ingredient inventories and standardizing components across formulas, thereby streamlining enterprise operations and supporting the democratization of AI-driven innovation within the formulation science sector.
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