Does your analytical lab analysis, testing, research and discovery take too long, cost too much and lack the data integrity, traceability and 100% assurance you need and require for your results?EISC is a life, material, and physical science informatics company dedicated to helping those in science streamline electronic lab data workflows that get to qualified discovery faster! Our patented laboratory data integration and automation solutions harmonize disparate scientific data sources spanning multiple industries, ensuring analytical data integrity and compressing the timeline of the lab's data lifecycle to within minutes. EISC's universal connectivity platform automatically aggregates, assimilates, and dynamically transforms analytical instrument data into comprehensive information. We bridge the functionality gap that exists between the analytical instrument raw, meta, and final result data delivered to the lab's internal and external client or industry expert. EISC systems automatically interface with any analytical instruments and third party informatics, bringing disparate data sources to a single point creating a seamless process workflow that emphasizes data quality and speed to outcome. Our premiere mass customization technology is plug-n-play, internet centric, and allows the systems to be flexible to the user's needs utilizing a modular and scalable approach, which offers the perfect fit for any size lab, performing any type of work across multiple industries.Automated quality assurance that facilitates real-time electronic analytical data integrity, traceability, defensibility, experiment replication, and exposes data bias is our forte'. So, whether you need an immediate instrument interface or a complete lab data automation and integration, our proprietary technology seamlessly bridges the functionality gap that exists in all analytical laboratories: the chasm between analytical data source and knowledge…all within minutes.

Automated instrument integration Automated Quality Assurance Automated Reporting and Electronic Data Deliverables (EDD) Scientific Data Management Innovation of Scientific Data Scientific Data Collaboration Unmasking Data Bias Reproducibility Electronic Data Sharing Data Integrity Scientific Redundancy Data Traceability Instrument Harmonization Data Defensiblity Result Reliability SEDD NPDES Discharge Monitoring Reports Edge Computing Artificial Intelligence Internet of Things IoT