AI-native pathogen intelligence

Your lab's autonomous bioinformatician

SeqSentry turns raw metagenomic sequencing data into clinical-grade pathogen reports. No bioinformatics team required. Plug it into any lab, any sequencer. It runs 24/7.

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How it works
01 Ingest
Raw Reads In
Upload FASTQ files from any sequencer. Illumina, Nanopore, Element, PacBio. Platform-agnostic.
›
02 Analyze
AI Classification
Autonomous QC, host depletion, and metagenomic classification against a curated database of clinically validated pathogens.
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03 Predict
AMR Profiling
Detects antimicrobial resistance genes and predicts drug susceptibility patterns to guide treatment decisions.
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04 Report
Clinical Report
Structured, clinician-ready reports with species identification, abundance, confidence scores, and actionable resistance data.
7,000+
Clinically validated pathogen species in the reference database
<2hr
From FASTQ upload to structured clinical report, fully autonomous
0
Bioinformaticians needed. The AI handles the entire pipeline.

Built different

Most metagenomics tools give you data. SeqSentry gives you answers.

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Sequencer agnostic

Not locked to one platform. Works with Illumina, Oxford Nanopore, Element Biosciences, PacBio. Your sequencer, your choice.

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Fully autonomous

No manual QC. No parameter tuning. No bioinformatics queue. Upload reads, get a report. The AI handles every step in between.

☤

Clinical-grade accuracy

Validated against culture and PCR gold standards. Catches fastidious bacteria, anaerobes, fungi, and polymicrobial infections that culture misses.

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Outbreak sentinel

Continuously monitors patterns across samples. Flags unusual organisms, resistance clusters, and potential outbreak signals before they escalate.

Every lab deserves a world-class bioinformatician. Now every lab has one.

The bioinformatics bottleneck has kept clinical metagenomics locked inside a handful of reference labs. SeqSentry breaks that lock. Autonomous AI analysis that runs inside any clinical lab, turning raw sequencing data into the answers clinicians need to save lives.