Unknown Labs provides a network‑based operating system that links spectrometers, laboratories, OEMs, and users to store, standardize, and interpret spectral data from instruments such as Raman, FTIR, XRF, and GC‑MS in real time.
Funding
Funding not disclosed
Founders
Product
Problem
Industries that rely on spectroscopic analysis face fragmented workflows: instruments generate data in proprietary formats, lab reports are stored separately, and expert interpretation is required, leading to slow, error‑prone material identification.
Solution
Unknown Labs offers a network‑based operating system that connects spectrometers, laboratories, OEMs, and users into a unified platform. Spectral data from Raman, FTIR, NIR, XRF, GC‑MS, HPLC and other instruments are uploaded, automatically standardized, and linked to laboratory reports and metadata. The platform stores this information in a structured, searchable environment and runs algorithmic solvers to provide instant material identification and traceability. By harmonizing file formats and centralizing intelligence, the system reduces human error, accelerates decision‑making, and supports real‑time reporting across multiple industries.
Target Audience
Primary customers are laboratories, instrument manufacturers (OEMs), government agencies, and industrial firms that require fast, reliable spectroscopic material identification.
Features
- Unified ingestion pipeline that accepts raw spectra from a wide range of analytical instruments and converts them to a common format
- Automatic attachment of lab reports and metadata to each spectrum for complete traceability
- Cloud‑hosted analytics engine that runs identification algorithms and solvers in real time
- searchable networked database enabling comparison of new samples against historical spectra and reference libraries
- Role‑based access controls and secure data handling for governments, laboratories, OEMs, and industrial partners
- Integrated dashboard for field operators and scientists to view results, confidence scores, and actionable recommendations