
Bridge Analytics
Bridge Analytics provides a secure, collaborative data platform for central nervous system research, enabling scientists to discover, access, and analyze multimodal datasets without writing code. The platform combines a no-code cohort builder with an advanced cloud workbench, and covers storage and compute costs for hosted datasets. It serves researchers across the CNS Quest ecosystem, including initiatives focused on Parkinson's disease, autism, and bipolar disorder.
- Data & Analytics
- Biotechnology
- Software Only
- Drug Discovery & Therapeutics
Funding
Founders
Founder details are not available yet.
Product
Problem
Research data across central nervous system (CNS) initiatives is often siloed and fragmented, creating heavy administrative burdens and slowing scientific progress. Managing long-term storage, maintenance, and interoperability of datasets frequently exceeds original funding scope, leaving data languishing and delaying therapy development for conditions like Parkinson's, autism, and bipolar disorder.
Solution
Bridge Analytics offers the Bridge Analytics Environment, a secure, collaborative platform built by scientists for scientists that centralizes and standardizes CNS research data. The platform combines expert scientific consultation with cloud-based tools, allowing research teams to discover, access, and analyze multimodal datasets without writing code. By managing storage and compute costs and ensuring interoperability across initiatives, Bridge Analytics dramatically reduces data preparation timelines and empowers teams to move from research questions to advanced pipeline execution more quickly. The platform connects clinical and biological experts with quantitative analytic specialists to accelerate biomarker development and therapeutic breakthroughs.
Target Audience
Primary users are researchers and scientists working across CNS Quest initiatives focused on Parkinson's disease, autism, bipolar disorder, and psychedelic therapies, including those needing to analyze sensitive multimodal research datasets.
Features
- No-code cohort builder that lets researchers explore data inventories, create cohorts, and build persistent dashboards without programming
- Advanced cloud workbench using Google Cloud Platform for deep, customized analyses within a robust notebook environment
- Layered security program including encryption at rest and in transit, multifactor authentication, role-based access control, and continuous monitoring with ISO/IEC 27001 controls
- Controlled-access platform designed for secure handling of de-identified and pseudonymized biomedical, genomic, and clinical datasets
- Cross-initiative interoperability support that streamlines data collection and prevents duplicated technical efforts across the CNS Quest ecosystem
- Active usage monitoring to ensure fair, cost-conscious resource allocation across all research teams