Press & News

Pastør21 AI, a leading provider of explainable-AI genomic-intelligence software for pathogen surveillance and biothreat attribution, announced that it has achieved “awardable” status through the DARPA Expedited Research Innovation System (ERIS) Marketplace. Achieving awardable status readies the company’s explainable-AI genomic platform for defense and biothreat attribution missions.

Pastør21 AI’s solutions are designed to transform global genomic data into precise, field-deployable pathogen identification and biothreat attribution. “Achieving awardable status in the ERIS Marketplace means our platform is ready to move from competitive assessment to real mission impact,” said Jonathan Monk, Co-Founder and CTO of Pastør21 AI. “It puts precise, field-deployable pathogen surveillance and attribution directly in front of the government customers who need it — telling them not just what a pathogen is, but what it can do and where it came from.”

Pastør21 AI’s video, “Building a High-Resolution Global Pangenome Database for Rapid Surveillance and In-Field Diagnosis,” accessible only by government customers with a .mil email address on the DARPA ERIS Marketplace, presents an actual use case in which the company decomposes pathogen pangenomes into “phylons” — sets of co-occurring genes that define closely related strain subgroups — to generate unique DNA-marker signatures for rapid in-field diagnosis and biothreat attribution.

Government customers interested in viewing the video solution can create an ERIS Marketplace account at www.darpaconnect.us/eris.

Pastør21 AI, Inc., a biotechnology and artificial intelligence startup, has been awarded third place and a $10,000 prize in the first round of the Defense Advanced Research Projects Agency (DARPA) Bio-Attribution Challenge. The virtual competition called on innovators to develop next-generation computational tools capable of analyzing petabyte-scale datasets in near real-time to rapidly determine the origin of biological events.

Finding a single pathogen or engineered sequence in massive environmental samples is a staggering “needle in a haystack” problem. The first phase of the challenge required scanning massive troves of deliberately curated genomic data, mimicking complex environmental samples, under strict time constraints.

To meet these intense computational demands, the San Diego-based team deployed a highly specialized bioinformatics pipeline. AI frameworks provided the necessary logic routing and workflow orchestration to sort through the complex data landscape. This allowed the team to accurately detect subtle genomic signals.

The ability to rapidly and accurately identify the source of a biological sequence is a critical national security capability, and a core focus of Pastør21’s strategy and development. This achievement highlights the immense potential of combining high-performance computing with targeted AI to solve unprecedented data challenges in genomics.

The foundational strategy for the challenge relied on a conceptualized multi-step workflow linking raw genetic makeup directly to attribution outcomes, allowing the platform to pinpoint the source of biological anomalies with high precision.

As the DARPA Bio-Attribution Challenge progresses toward its culminating awards ceremony on June 30, 2026, Pastør21 AI continues to refine its computational models for the attribution of engineered biological events.