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Enterprise Layer Intelligence
Categories/Healthcare & Life Sciences/Instem
Instem

Instem

Founded 2013

Manage preclinical research data, study workflows, and regulatory submissions for life sciences

You can use Instem to collect, manage, and analyze experimental data across the entire drug research lifecycle. It connects laboratory execution with study workflows, giving scientific teams structured environments for nonclinical study management, in silico modeling, and toxicology testing. You can track experimental specimens, log observations, and build standardized datasets ready for regulatory review. It also includes laboratory information management systems to organize workflows, track sample stability, and audit clinical study metrics, making it easier to prepare compliant regulatory data packages for global health authorities.

What Instem does

Assemble and validate SEND dataset packages for submissionLog daily preclinical observations and animal care metricsTrack specimen chain of custody and inventory across freezersRun computational toxicity predictions on candidate moleculesGenerate audit trails to verify experimental data integrityRedact sensitive personal data from clinical study reportsSchedule and review recurring quality assurance checksPreclinical study management and data collection workflowsAutomated preparation and validation for SEND regulatory submissionsLaboratory information management system for sample tracking and stabilityIn silico predictive toxicology and predictive analytics modelsAudited data pipelines maintaining clear nonclinical data provenanceClinical trial transparency and data anonymization toolsCentralized electronic quality and compliance management

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Instem, life sciences, drug discovery, study management, preclinical data, regulatory submission, SEND dataset, LIMS, clinical trial analytics, in silico modeling, Provantis, laboratory data, toxicology data, clinical compliance, sample tracking