Every complex event leaves a signature. AnnieGuard reconstructs it from the data that already exists.
Glass-box technology, built for the unknown.
ORIGIN //
ORIGIN reconstructs the structural signature of biological and chemical events from observable data without requiring prior access to the causal agent, physical custody of a sample, or institutional consensus.
Built for novel events. No event-specific training data required.
It works from the data that already exists.
Outputs are deterministic, traceable, and mechanistic.
The same inputs produce the same reconstruction, every time.
CASCADE //
CASCADE reconstructs the structural architecture of disease from clinical and genomic data. It traces each case from its founding event through disease progression to therapeutic vulnerability.
Works at the single-sample level.
Operates on the data clinicians already have, including variants, clinical history, and treatment context. No proprietary inputs. No new sequencing required.
Outputs are deterministic, traceable, and mechanistic.
Every causal claim is linked to its source data and accompanied by an explicit confidence rating.
Demonstrated Applications
{01}
Defense & Intelligence
ORIGIN demonstration.
Biological threat reconstruction and attribution under operational time constraints.
{02}
Therapeutic Development
CASCADE demonstration.
Disease architecture reconstructed from clinical and genomic data to identify therapeutic vulnerabilities.
{03}
Biosurveillance
ORIGIN demonstration.
Biological event reconstruction from population and surveillance data.
Where conventional systems stop.
AnnieGuard reconstructs causal architecture from the data already available. Deterministic, traceable, and mechanistic outputs make ORIGIN and CASCADE deployable in novel, high-consequence environments where auditability is non-negotiable.
{01}
DETERMINISTIC
Same inputs produce the same reconstruction.
No stochastic drift. No hidden variability.
Results remain reproducible, auditable, and reviewable across runs.
{02}
GENERALIZABLE
Built for novel events and previously unseen cases.
No event-specific training data required.
The same underlying methodology operates across distinct biological and chemical domains.
{03}
MECHANISTIC
Every conclusion remains linked to its source data and the causal relationships that produced it.
Outputs are inspectable, traceable, and defensible under technical review.