AI platform for Specialty Chemicals
Mafer captures, normalizes and structures chemical data into model-ready intelligence.
Mafer turns technical data into one shared system
It turns the company’s technical history into the system it runs on. Years of data, workflows, and know-how become the foundation for a new way of operating.
Formulation R&D
Historical raw material and formulation knowledge transformed into reusable systems for faster formulation and reformulation.
Analysis & QC
Production-grade GC-MS and analytical data, structured for comparison, identification, traceability, and model training.
Regulatory Affairs
Compositional rules, thresholds, and exceptions encoded into operational workflows that reduce manual work and accelerate compliance.
Companies across specialty chemicals have accumulated decades of experimental knowledge across laboratories, instruments, and regulatory systems.
Mafer structures this historical depth into production-grade data infrastructure, enabling organizations to build operational and trainable systems at scale.
Integrated directly into GC-MS, LC-MS, spectrometers, ERP platforms, and legacy laboratory environments.
High-fidelity analytical data is structured at source, preserving experimental integrity while enabling scalable model training.
Designed for industries where molecular composition, analytical instrumentation, and formulation workflows define product development. From Fragrances and Flavours to Food & Beverages, these sectors share a common foundation: complex chemical systems and highly specialized data.
Lab Data Capture
Chromatography integration
Structured Systems
Production Ready Data
Enterprise Intelligence
Trainable Decision Systems
Industrial Scale
Research connected to execution
A new generation of infrastructure now allows that accumulated knowledge to become the foundation of AI-native operations. Companies are not taking advantage due to:
Data Silos
Laboratory intelligence lives across isolated technical environments.
Technical Data
Chemical complexity exceeds conventional processing and modeling stacks
Outdated Infra
Enterprise systems were not built for structured scientific data.
Research-Industry Gap
Scientific advances rarely translate into scalable industrial operations.
We are a highly technical team with a strong focus on research and product development. Our goal is to build a global company from Barcelona. We are part of the first batch of the BSC AI Factory.
We integrate directly with your ERP, laboratory hardware, technical workflows, and all the tools you use daily. This is done without disrupting your existing processes and with minimal friction.
We offer specialized tools for Chromatography (data structuring), Formulation (generative models), and Regulation (agentic compliance) and we are developing more core modules across chemical processes.
We operate under the highest security and encryption standards, working with leading security providers to ensure enterprise-grade protection. Our clients’ data is their IP, and we treat it as a core strategic asset. Each client’s data is used exclusively to train their own models. It is never shared or reused to train models for others. We build AI infrastructure that is enterprise-ready from day one.