Linkton
Braingnosis provides LINK, an intelligent operational platform that connects pharma, regulatory, and clinical operations teams with their existing systems—such as Veeva Vault, LIMS, and deviation logs—to run repeatable AI-enabled workflows. The platform assembles traceable evidence trails, verifies cross-document consistency, and surfaces gaps in real time, keeping experts in control of final decisions.
- Artificial Intelligence
- Drug Discovery & Therapeutics
- Regulatory & Compliance Technology
- Biotechnology
- Enterprise Software
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Drug development organizations face significant operational challenges when moving AI models and data workflows from experimental research into production environments. The complexity of managing model deployment, data infrastructure, and compliance requirements slows down the adoption of AI across pharmaceutical R&D, delaying potential efficiencies in discovery, clinical development, and manufacturing. Even with modern individual tools, work remains fragmented across systems, teams, formats, and handoffs, creating an "execution gap" that prevents AI from delivering value.
Solution
Braingnosis provides an intelligent operational platform—called LINK—that connects existing systems, data, documents, and procedures so teams can run repeatable AI-enabled workflows for batch release, regulatory review, and clinical operations. The platform works inside the customer's environment, keeping experts in control and making every result traceable. It connects systems such as Veeva Vault, LIMS, and deviation logs to compile complete evidence trails, verify cross-document consistency, and surface gaps in real time. By organizing the back-end operational requirements of AI—model serving, data orchestration, and reproducibility—Braingnosis enables organizations to run AI reliably and consistently across their R&D functions.
Target Audience
Primary customers are pharmaceutical and biotechnology organizations, as well as research institutions and clinical operations teams, that need operational AI infrastructure to move machine learning models and regulated workflows into production use.
Features
- Connects existing enterprise systems including LIMS, QMS, ELN, data platforms, and approved procedures into a single operational layer
- Assembles complete, traceable evidence trails for quality decisions, linking QC results, deviations, and SOPs with gap detection
- Runs AI-enabled workflows across batch release, deviations & CAPA, stability monitoring, and regulatory reporting
- Provides cross-document verification and response drafting with source-history review for regulatory submissions
- Supports site and recruitment reconciliation, operational reporting, and sponsor deliverable structuring for clinical operations
- Keeps experts in control of final decisions while AI handles evidence assembly and verification