Christopher Larsson
Co-founder
Mimir Systems
Mimir Systems provides an AI-powered search platform that lets researchers ask natural‑language questions and receive concise, citation‑backed answers extracted from a growing database of scientific papers in chemistry and materials science. The cloud service also supports secure integration of private research collections, giving enterprise teams unified access to both public and proprietary data.
- Artificial Intelligence
- Data & Analytics
- Chemical Technology
- Enterprise Software
- New Materials
Updated 6 months ago
Funding
Funding rounds are not available yet.
Founders
Periwinkle Doerfler
Founder
Product
Problem
Researchers in polymer chemistry, materials science, and related fields must manually search through millions of scientific papers to locate specific experimental data, processing conditions, or material properties. This process is time‑consuming, prone to missed information, and hampers rapid hypothesis testing and development.
Solution
Mimir Systems offers an AI‑driven search platform that accepts natural‑language queries and returns concise answers drawn from a continuously expanding corpus of scientific literature. The system parses terminology, disambiguates concepts, and extracts relevant data points, presenting results with direct citations to the source papers. For enterprise and institutional users, Mimir can ingest proprietary research collections and merge them with public literature, enabling comprehensive internal knowledge retrieval. The service is free for academic researchers, lowering barriers to adoption while providing a scalable solution for large organizations.
Target Audience
Primary users are researchers and engineers in polymer chemistry, materials science, and related academic or industrial labs, as well as enterprise teams that need to search both public and proprietary scientific documents.
Features
- Natural‑language query interface that understands domain‑specific terminology in chemistry and materials science
- Automated extraction of experimental measurements, processing conditions, and material properties from millions of papers
- Citation‑backed answer generation that links each data point to its original source
- Continuous corpus expansion covering chemistry, physics, and materials engineering disciplines
- Secure integration of private, proprietary research datasets alongside public literature for enterprise users
- Cloud‑based platform with no local installation required, accessible via web browser