The "Biology" category is flooded with local test centers and student projects. Our AI agents verify Next-Gen Sequencing (NGS) tech stacks, R/Bioconductor usage, and cloud compute spend to find verified Genome Centers, Comp-Bio Labs, and Personalized Medicine startups.
Why firmographic filters miss the petabyte-scale buyers.
Targeting "Scientific Research" tells you nothing about a company's ability to buy high-performance compute or data pipelines. You need to know what they sequence and how they process.
If you are selling cloud storage, Python/R dev tools, or LIMS software, you need the builders:
| Metric | Standard "Science" List | Our ICP Database |
|---|---|---|
| Classification | Broad (NAICS 5417) | Genome vs. Proteome vs. Clinical |
| Tech Signals | None | NGS / BLAST / GATK Verification |
| Buying Center | Lab Manager | Head of Bioinformatics / CTO |
| Storage Need | Unknown | Petabyte-scale Signal Detected |
Target builders of the future of biological data.
High-throughput sequencing labs (Illumina/PacBio). Targets for petabyte storage, cloud pipelines, and lab automation.
Dry-lab startups building algorithms. Targets for Python/R dev environments, GPU clusters, and data visualization.
Matching genomics to therapy. Targets for clinical trial data, HIPAA-compliant cloud, and EMR integration.
Using ML for lead compound identification. Targets for high-end vector databases and chemical datasets.
Annotating and cleaning biological data. Targets for data labeling services and knowledge base tech.
Sequencing crops and livestock. Targets for satellite imagery APIs and specialized climate data.
Public health tracking labs. Targets for GIS data, real-time alerting, and government contracts.
Mass spectrometry data analysis. Targets for LIMS software and specialized analytical tools.
Brain mapping and neural data. Targets for high-resolution imaging storage and AI models.
Software managing the bio-pipeline. B2B targets for API connectivity and cloud orchestration.
Analyzing community DNA. Targets for specialized sequence databases and nutrition data.
Managing genomics in trials. Targets for patient privacy tech and regulatory databases.
Virtual genetic counseling. Targets for video APIs and specialized CRM.
DNA identification for law. Targets for secure cloud and law enforcement CRM.
Shared university sequencing centers. Targets for billing software and student data.
Software for designing DNA. Targets for DNA synthesis partners and CAD-for-bio.
Investing in life science tech. Targets for due diligence data and portfolio CRM.
Nonprofits managing GA4GH or similar. Targets for cloud sponsorship and sponsorship data.
Data on sequencing market trends. Targets for ad-tech and HNW investment data.
Automating the liquid handling. Targets for AI models and sensor hardware.
In Bioinformatics, the "Compute Stack" defines the enterprise. A lab running Nextflow or Snakemake pipelines on AWS Batch or GCP Genomics is a top-tier tech buyer.
We extract these "Sequence Signals" to help you find the builders.
If you sell cost-effective cloud storage, filter for sequencing centers with high traffic but no Tiered Storage or Glacier mention.
Pitch: "Reduce your NGS data retention costs by 40% with our automated hot-to-cold storage lifecycle management..."
We distinguish between companies that run tests and companies that find insight.
This ensures you don't waste time on a local diagnostic lab that happens to have a "Tech" category on their blog.
Get the data that powers the global computational biology ecosystem.
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