The first commercially available low-pass long-read sequencing on PacBio HiFi.
Population-scale genomics has always meant choosing between sample size and resolution. Veil eliminates that tradeoff by delivering long-read data, at scale, with real scientific partnership behind every project.
OUR THREE PILLARS
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High-resolution data at high-throughput scale to make your research goals attainable within your budget.
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Hundreds to thousands of samples, delivered with consistent quality, at the speed your project actually needs.
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Every project comes with expert scientific guidance. Veil Genomics is building toward deeper analytics that turn your data into faster answers. [See what's next ↓]
OUR SERVICES
From sample prep to full sequencing, build your project around what you actually need, with deeper analytics on the way.
Start where you are. Go as far as you need.
EXTRACTION + PREP
EXTRACTION + PREP + SEQUENCING
From sample to answer. One team, every step.
OUR WORKFLOW
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Extraction
We receive your samples and begin high-molecular-weight DNA extraction, preserving the long fragments other methods lose.
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Library Prep
Libraries are built and rigorously QC'd to PacBio HiFi-ready standards before a single sample reaches the sequencer.
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Sequencing
PacBio HiFi LRLP sequencing delivers long-read depth at population scale, without the per-sample cost of standard long-read.
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Analysis
Every dataset goes through rigorous QC and variant calling, built on proprietary methods validated in peer-reviewed research.
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Interpretation
Results arrive with real scientific context, not just raw files, so your team can move straight into discovery.
Built for the questions population-scale data can finally answer.
APPLICATION BY MARKET
Agricultural & Plant Genomics
Structurally complex crop genomes and population scale animal breeding genomes have always forced the same choice: sequence a few samples deeply, or many samples shallowly. Neither gives you the full picture of your population. Veil's long-read approach resolves structural variation and genetic diversity at population scale, without sacrificing the sample size your program needs.
Human Health Research
Reference bias shapes what your cohort study can detect. Most human genomics still leans on a small handful of reference genomes that don't represent the diversity of the populations being studied. Long-read sequencing at population scale illuminates structural variants, repeat expansions, and rare variants that short-read and low-coverage methods routinely miss.
Ecosystem & Biodiversity
Non-model organisms rarely come with a finished reference genome, and specimen quality is often far from ideal. Veil's approach supports population-level genomic datasets for species with no existing reference, making large-scale conservation and biodiversity genomics tractable for the first time.
WHAT’S NEXT
Most population-scale genomic analysis still forces a compromise. Static reference graphs go stale the moment new samples arrive. Reference bias hides real variation that never made it into the model you're aligning against in the first place.
We're building the next layer of Veil's platform to close that gap, analytics designed to capture the full picture of a population, not just what's already been mapped, without the assembly costs and rebuild cycles that limit conventional tools today.
More to come.
Some of the best insights in your data are still going undiscovered.
