Mafer.ai transforms fragmented technical documentation—formulas, lab results, and regulatory records—into structured, model-ready intelligence embedded directly in R&D workflows. The platform's AI agents, including formulation, regulatory, and quality checkers, analyze historical data to score candidates, verify compliance across markets, and ensure quality profiles, all within a live, recomputing interface. It enables R&D teams to accelerate development while maintaining regulatory alignment and cost targets.
Funding
Funding not disclosed
Founders
Product
Problem
R&D teams in regulated industries like fragrance and chemicals struggle with technical knowledge scattered across formulas, lab results, and regulatory records. This fragmentation makes it difficult to leverage historical data for new formulations, slows down development cycles, and increases the risk of non-compliance with evolving regulations.
Solution
Mafer.ai centralizes a company's technical history into a structured, model-ready intelligence layer that plugs directly into R&D workflows. The platform uses AI agents—such as formulation, regulatory, and quality checkers—to analyze historical formulas and lab data in real time. These agents score candidate formulations, check compliance across multiple markets, and validate quality profiles against historical ranges, all within a live interface that recomputes on every change. This enables formulators to explore alternatives, optimize costs, and ensure regulatory alignment without leaving their workflow.
Target Audience
Primary customers are R&D and formulation teams in the fragrance, flavor, and specialty chemical industries who need to accelerate product development while maintaining regulatory compliance and cost efficiency.
Features
- AI agents for formulation scoring, regulatory compliance checks, and quality validation that run in under five seconds
- Live-recomputing composition panels with auto-fill filler logic to maintain 100% totals on dosage changes
- Olfactive profile visualization with accord strengths relative to the strongest component, updated dynamically
- Cost tracking per kilogram with target cost comparison and SAP standard cost integration
- Full material catalog search across 2,412 materials with filters for production site, category, and regulatory status
- Fine-tuned proprietary models trained on customer-specific formula history, with periodic retraining