BioKEA provides an end‑to‑end service that automates sample extraction, long‑read sequencing on an ONT Promethion 2, and AI‑driven analysis to deliver FAIR‑compliant species identification and genome assemblies. Researchers receive a complete, peer‑ready dataset and a machine‑readable digital claim published on the AT Protocol, eliminating the need for in‑house wet‑lab infrastructure.
Funding
Funding not disclosed
Founders
Product
Problem
Researchers studying biodiversity and environmental health often face fragmented workflows that separate sample collection, high-throughput sequencing, and data synthesis, leading to long turnaround times and difficulty producing reproducible, FAIR‑compliant results.
Solution
BioKEA offers an integrated service that moves a sample—from soil, water, or a biological specimen—through automated extraction, long‑read sequencing on an ONT Promethion 2, and AI‑driven data synthesis to generate a verifiable scientific claim. The company operates a shared 5,000 sq ft wet‑lab equipped with extensive automation, reducing manual labor and instrument cost for users. Raw sequencing data are processed by proprietary AI models that perform barcode‑based species identification, environmental DNA metabarcoding, and long‑read genome assembly. Results are published in an open‑access, AI‑first format on the AT Protocol, ensuring compliance with FAIR principles and enabling transparent, reproducible research. Clients receive a complete, peer‑ready dataset and a digital claim that can be directly linked to public repositories.
Target Audience
Primary customers are academic researchers, environmental consulting firms, and biodiversity monitoring programs that require high‑resolution genomic data and reproducible, open‑access reporting.
Features
- Automated sample extraction and library preparation pipelines covering soil, water, and tissue specimens
- High‑throughput long‑read sequencing using an ONT Promethion 2, delivering full‑length barcodes and contiguous genomes
- AI‑powered taxonomic identification and eDNA metabarcoding with rapid turnaround from raw reads to species lists
- End‑to‑end FAIR‑compliant workflow that generates machine‑readable metadata and publishes results on the AT Protocol
- Shared laboratory infrastructure with ~80 instruments, providing cost‑effective access to state‑of‑the‑art genomics equipment
- Secure cloud portal for data download, visualization, and integration with downstream analysis tools