Fastformulators utilizes proprietary AI and machine learning models to predict and optimize the performance of product formulations by controlling key physico-chemical properties such as rheology, stability, and surface activity. This technology accelerates R&D processes and enhances formulation design across various industries, including cosmetics, food, and agrochemicals, by enabling precise ingredient selection and reducing the need for extensive experimental trials.
Funding
Funding not disclosed
Founders
Product
Problem
Developing high-performance product formulations often requires extensive and costly experimental trials to optimize key physico-chemical properties like rheology, stability, and surface activity. Traditional R&D processes can be slow and inefficient, hindering innovation and time-to-market for new products.
Solution
Fastformulators offers an integrated platform combining AI, machine learning, and expert formulation science to predict and optimize product performance. The platform enables users to design smarter, more sustainable products by controlling critical material properties. By leveraging AI/ML models, the technology accelerates R&D, enhances formulation design, and reduces the need for extensive Design of Experiments (DOEs). Users can choose ingredients from an extensive database or upload their own data for deeper customization, facilitating precise ingredient selection and tailored solutions.
Target Audience
The primary customers are R&D teams in the cosmetics, food, agrochemical, paint, and coating industries seeking to accelerate product development and optimize formulation performance.
Features
- AI/ML model software for performance control of formulation critical materials, including emulsions, suspensions, and surfactant/polymer systems.
- Predictive capabilities for rheology, stability, foaming, and surface activity.
- Customizable AI/ML predictor models tailored to specific physio-chemical parameters and performance attributes.
- Smart experimental design integrated with AI and machine learning algorithms for optimized formulations.
- Advanced characterization methods for comprehensive analysis of formulations.
- AI/ML-enabled lab-based formulation and product design services.