Basil Systems, Inc
Provides a SaaS data and analytics platform for life sciences that indexes and harmonizes global regulatory, clinical, safety and commercial documents. Uses AI/ML, NLP and OCR to enable search, automated label comparison, post-market surveillance, clinical-trial analysis, and data integration for Pharma, MedTech, CRO, legal and insurance users.
Industries
N/A
Nr. of Employees
small (1-50)
Products
Unified connected life‑sciences dataset
A continuously updated, indexed dataset covering global labeling, device clearances, adverse events, guidances, clinical trials, recalls and drug/formulation details for drugs, vaccines, IVDs and devices.
Life-sciences intelligence platform (pharma & medtech modules)
Modular software platform that combines indexed data with analytics modules for Pharma (label analytics, safety comparison) and MedTech (regulatory discovery, post-market surveillance, clinical trial search).
Unified connected life‑sciences dataset
A continuously updated, indexed dataset covering global labeling, device clearances, adverse events, guidances, clinical trials, recalls and drug/formulation details for drugs, vaccines, IVDs and devices.
Life-sciences intelligence platform (pharma & medtech modules)
Modular software platform that combines indexed data with analytics modules for Pharma (label analytics, safety comparison) and MedTech (regulatory discovery, post-market surveillance, clinical trial search).
Services
Subscription access to indexed regulatory, clinical, safety and commercial datasets with analytics, search, dashboards and alerts.
Design and delivery of APIs, system interoperability solutions, and scalable integration architectures to merge proprietary data with indexed industry datasets.
Configuration of executive dashboards, alerts, comparative tables and exportable regulatory data tables for monitoring approvals, recalls, trials and safety signals.
Retrospective study design, validation of predictive workflows (for example drug-repurposing validation), and method documentation to support translational and regulatory strategy.
Subscription access to indexed regulatory, clinical, safety and commercial datasets with analytics, search, dashboards and alerts.
Design and delivery of APIs, system interoperability solutions, and scalable integration architectures to merge proprietary data with indexed industry datasets.
Configuration of executive dashboards, alerts, comparative tables and exportable regulatory data tables for monitoring approvals, recalls, trials and safety signals.
Retrospective study design, validation of predictive workflows (for example drug-repurposing validation), and method documentation to support translational and regulatory strategy.
Expertise Areas
- Regulatory intelligence and strategy
- Labeling analysis and label-change tracking
- Post-market surveillance and safety analytics
- Clinical trial search and evidence extraction
Key Technologies
- Machine learning
- Natural language processing (NLP)
- Optical character recognition (OCR)
- API-based data integration
News & Updates
A published retrospective study applying integrated regulatory, clinical and safety data with AI/ML to identify candidate label expansions; reported results on predictive performance are available in the referenced research paper.
Case study describing use of the indexed dataset and analytics to shorten time to market, support regulatory strategy and inform labeling for a gene-therapy commercialization program.
Case study describing use of regulatory predicate searching and analytics to reduce time and cost in 510(k) strategy.
Case study reporting reduced processing time and improved accuracy for CER preparation through adverse-event aggregation and AI tools.
A published retrospective study applying integrated regulatory, clinical and safety data with AI/ML to identify candidate label expansions; reported results on predictive performance are available in the referenced research paper.
Case study describing use of the indexed dataset and analytics to shorten time to market, support regulatory strategy and inform labeling for a gene-therapy commercialization program.
Case study describing use of regulatory predicate searching and analytics to reduce time and cost in 510(k) strategy.
Case study reporting reduced processing time and improved accuracy for CER preparation through adverse-event aggregation and AI tools.