Centralize the silos. Harmonize disparate formats. Spend your time looking for insights, not manually transcribing or agonizingly searching for your data.
Acquire data from any source without manual intervention. Yes, we really mean any source. In the cloud or on premise. Any lab instrument - connected or disconnected. CROs/CDMOs. Data stores, ELNs, and LIMS. Unless it is written on a piece of paper, we can extract the data, and enrich it with metadata in the process.
Native data collectors pull or receive data from popular instruments
A directory watcher uploads files from your chosen folders
Our patented device connects typically disconnected instruments
Transform your experimental data, regardless of source, into a standard format. Enrich your data by merging with metadata. Push data to ELN/LIMS. Generate reports and perform calculations. Validate and QA results. Use our pre-configured pipelines or configure your own to process your data and move it throughout your R&D ecosystem.
Understand your data, derive insights from it, build models on it, or simply query it. Our hierarchical schema defines relationships, hierarchies, and requirements across your data. This schema enables knowledge/RDF graphs and semantics, ultimately providing meaningful organization and a strong foundation for data science + AI.