Pathology & Clinical Laboratory Data Network
Hyperdrive Bio aggregates structured, AI-ready pathology data, molecular testing results, whole-slide images, and matched FFPE biospecimens from a curated network of clinical and pathology laboratories — purpose-built for drug development, companion diagnostic validation, and AI model training.
3M+
Oncology cases in network
12+
Oncology cases in network
WSI
Whole-slide image archive
FFPE
Matched remnant biospecimens
IHC · NGS · Pathology Reports
Structured biomarker data across ER, PR, HER2, MMR, PD-L1, NTRK, Ki-67 and more
What AI-Ready means here
Structured labels, not free-text extractions
Matched multimodal data: WSI + IHC + NGS
Documented data provenance per dataset
De-identified under Safe Harbor or Expert Determination
Our Laboratory Network Includes
Community Pathology
Regional pathology groups
Academic Medical Centers
Research & teaching hospitals
Reference Laboratories
High-volume clinical labs
Biorepositories
Biospecimen & tissue banks
What AI-Ready Means
Built for the Full AI Development Lifecycle.
AI-Ready isn’t just about having clean training data. It means structured labels for supervision, matched multimodal data for feature development, multi-site diversity for generalization testing, and regulatory-grade provenance for clinical validation submissions — so your team has what they need at every stage, without preprocessing overhead.
01
Model Training
Biomarker results are captured as discrete structured fields from the LIS — not extracted from free text after the fact. ER, PR, HER2, PD-L1, MMR proteins, Ki-67, and more arrive as clean, queryable supervised labels ready for model ingestion.
Algorithm Development
WSI images matched to IHC discrete results, NGS panel outputs, and pathology diagnosis at the case level — giving your team rich, multimodal signal for feature engineering and biomarker discovery without manual data assembly.
Model Validation & Benchmarking
Multi-site data diversity from a network of community and academic laboratories supports generalization testing and performance benchmarking against real-world ground truth — not curated academic cohorts that don’t reflect clinical practice.
Clinical & Regulatory Validation
Every dataset carries stainer, scanner, LIS source, collection timeframe, and de-identification method. Cohort logic is version-controlled and reproducible — structured for FDA submission support and IRB documentation from day one.
Data Catalog
Observed Clinical Data. Every Modality.
Every dataset comes from laboratory information systems — not modeled estimates or insurance claims. Structured, labeled, and AI-ready at delivery.
Structured Pathology & Biomarker Data
De-identified, structured data from LIS systems including IHC discrete results, NGS panel outputs, pathology diagnoses, and free-text reports — normalized, phenotyped by indication, and delivered with structured label files.
Matched FFPE & Remnant Tissue
Remnant FFPE blocks and slides with matched structured data — IHC, molecular, and clinical context — from community and academic pathology partners. Configured for assay development, validation, and AI training sets.
Whole-Slide Image Archive
H&E and IHC whole-slide images with matched structured labels — diagnosis, biomarker results, and clinical context. Stainer, scanner, and LIS metadata documented per slide. Purpose-built for supervised AI model training and digital pathology validation studies.
Tumor Types in Network
Key Biomarker Labels
Who we serve
Built for Teams That Need Observed, AI-Ready Data.
biopharma
Drug Development & Clinical Research
Access real-world biomarker prevalence, patient cohort counts, and matched biospecimens for biomarker strategy, trial design, and companion diagnostic development.
Diagnostics Companies
Assay Development & Validation
Access real-world biomarker prevalence, patient cohort counts, and matched biospecimens for biomarker strategy, trial design, and companion diagnostic development.
AI & Digital Pathology
Drug Development & Clinical Research
Source AI-ready WSI archives with matched structured labels and biomarker annotations for supervised model training, generalization testing, and clinical validation studies.
AI-Ready delivery: structured labels, scanner metadata, and matched multimodal data — no preprocessing required.
Start with a Cohort Request.
Tell us the indication, biomarkers, and data modalities you need. We’ll return estimated cohort counts from our network within 48 hours — AI-ready specs included. No commitment required.
Where do you want to start?
Choose the path that fits your team’s current need.