ORIGIN provides deterministic, traceable reconstruction of chemical and biological events from existing observational data, without needing the original agent or training datasets. Its ORIGIN platform infers structural signatures for defense, intelligence, and biosurveillance, while the CASCADE product maps disease architecture from clinical and genomic data using only information clinicians already have, enabling rapid therapeutic insight without new sequencing.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations tasked with detecting, attributing, or responding to chemical, biological, or disease threats often rely on proprietary samples, extensive training datasets, or manual expert analysis, which can be slow, costly, and unavailable for novel events.
Solution
Origin offers a deterministic AI platform that reconstructs the structural signatures of chemical, biological, and disease events using only existing observational data. The ORIGIN engine infers causal mechanisms for unknown threats without needing the physical agent or prior training examples, delivering auditable, traceable results with confidence ratings. The CASCADE platform applies the same approach to clinical and genomic records, mapping disease architecture from a single patient’s data to identify therapeutic vulnerabilities. Both engines produce identical outputs for identical inputs, eliminating model drift and enabling rapid, defensible decision‑making for defense, therapeutic development, and biosurveillance applications.
Target Audience
Primary customers include defense and intelligence agencies, pharmaceutical and biotech firms developing therapeutics, and public‑health or biosurveillance organizations that need rapid, evidence‑based insights from existing data.
Features
- Deterministic inference: identical inputs always yield the same mechanistic output, ensuring reproducibility and auditability
- No training data required: works on novel chemical, biological, or disease events without historical examples or labeled datasets
- Causal traceability: each claim is linked to specific statistical tests, effect sizes, and significance levels for defensible reporting
- Operates on existing data: leverages surveillance records, clinical histories, and genomic variants without additional sampling or sequencing
- Rapid analysis: reconstructs pathogen signatures in under two minutes from available records
- Confidence rating system: quantifies uncertainty for each inferred mechanism to support risk assessment