Science Built on
Verified Trust.
A global network of peer-reviewed laboratories — rated by scientists, for scientists. Share resources, collaborate on data, and build partnerships with labs you can actually trust.
Verified Labs Only
Every lab is verified by Bridge BioHealth before listing. Institutional email, PI credentials, and research profile are confirmed.
Peer-Reviewed Ratings
Reviews come from scientists who have actually collaborated with the lab — not anonymous users. Every review is verified.
5-Day Response Commitment
All network labs commit to responding to collaboration requests within 5 business days — or their trust score is affected.
Global & Open
Labs from 38 countries across academia, biotech, pharma, and CROs. One-time $99.99 to join, free to browse, free to connect.
Top-Trusted Labs
in the Network
Ranked by peer-verified trust score across collaboration quality, data integrity, communication, and reliability.
Structural Biology & Cryo-EM Center
Stanford University
Stanford, CA, USA · Academic
"Prof. Park's facility is world-class. We got cryo-EM access within 2 weeks of joining the network. The data quality is exceptional and the team is incredibly supportive."
Precision Oncology Lab
Johns Hopkins University
Baltimore, MD, USA · Academic
"Exceptional collaboration. Dr. Chen's team shared their full negative screening dataset within 48 hours of our MTA being signed. Saved us 6 months of redundant work. Highly recommend."
ADMET & Toxicology Sciences
Novartis Institutes for BioMedical Research
Basel, Switzerland · Pharma
"Dr. Bauer's team shared their hERG dataset for 200+ compounds. The data quality is impeccable — every assay condition documented, every outlier flagged. This is how industry should share data."
Trust scores are calculated from verified peer reviews only. Learn how trust scores work ↓
Precision Oncology Lab
Johns Hopkins University
Focused on identifying novel therapeutic targets in solid tumors using multi-omics approaches. We actively share negative screening data and welcome collaboration on target validation.
"Exceptional collaboration. Dr. Chen's team shared their full negative screening dataset within 48 hours of our MTA being signed. Saved us 6 months of redundant work. Highly recommend."
Structural Biology & Cryo-EM Center
Stanford University
World-class structural biology facility offering cryo-EM access and collaborative structure determination. We actively share solved structures and raw cryo-EM datasets with network members.
"Prof. Park's facility is world-class. We got cryo-EM access within 2 weeks of joining the network. The data quality is exceptional and the team is incredibly supportive."
ADMET & Toxicology Sciences
Novartis Institutes for BioMedical Research
Industry-leading ADMET expertise with a commitment to sharing negative toxicology data to prevent redundant testing across the field. We believe failed safety data is as valuable as positive results.
"Dr. Bauer's team shared their hERG dataset for 200+ compounds. The data quality is impeccable — every assay condition documented, every outlier flagged. This is how industry should share data."
Computational Drug Discovery Unit
ETH Zürich
Developing next-generation AI models for drug-target interaction prediction. We share trained models and virtual screening outputs freely with network members under open-science agreements.
"Prof. Müller's team delivered a full virtual screening campaign in 3 weeks. The hit rate was 3x our internal benchmark. Exceptional computational expertise."
Neuropharmacology Research Unit
University College London
Specializing in CNS drug discovery with a focus on ion channel pharmacology and neurological disease models. We share electrophysiology datasets and behavioral assay protocols openly.
"Prof. Hartley's team is the gold standard for electrophysiology collaboration. Their protocols are meticulous and their data is always reproducible."
Immunology & Inflammation Research Group
Karolinska Institutet
Investigating the molecular mechanisms of chronic inflammation in autoimmune conditions. We have extensive negative data from failed anti-inflammatory compound screens available for sharing.
"Dr. Lindqvist's team was incredibly generous with their failed compound data. It directly informed our target selection and saved us significant resources."
Genomics & Precision Medicine Center
Peking University
One of Asia's leading genomics centers, with access to large-scale population cohorts and cutting-edge sequencing infrastructure. Actively seeking international collaborators.
"Prof. Zhang's team shared a fully annotated GWAS dataset that was publication-ready. The bioinformatics documentation was exceptional."
Metabolomics & Systems Biology Lab
University of Toronto
Applying metabolomics and systems biology approaches to identify disease biomarkers and drug response signatures. New member actively seeking collaborative partners.
"Dr. Al-Hassan is a rising star. Her metabolomics datasets are beautifully curated and she is an excellent scientific communicator. Excited to continue this collaboration."
Your Lab Deserves
to Be Found.
The best collaborations don't happen at conferences — they happen when the right labs find each other. Join the network and let your work speak for itself.
"We found our cryo-EM collaborator through the network in 3 days. What used to take months of conference networking now takes a search and a message."
"The trust score system is brilliant. We can see exactly how a lab performs before we commit to an MTA. It's transformed how we vet collaboration partners."
"As a new PI, getting our first verified reviews was a game-changer. It gave us credibility with industry partners we never could have reached otherwise."
Transparency
How Trust Scores Work
Trust scores are calculated from verified peer reviews across four dimensions — not self-reported metrics.
Collaboration Quality
How well the lab engages as a scientific partner — responsiveness, generosity, and scientific rigor.
Data Quality
Completeness, documentation, reproducibility, and metadata quality of shared datasets.
Communication
Responsiveness, clarity, and professionalism in all collaboration communications.
Reliability
Delivering on commitments — timelines, data sharing agreements, and MTA compliance.