01 · Our Models

From static paper to predictive safety

Human-led safety verification cannot scale to today's complex aerospace architectures. CoreIngestion programmatically isolates hidden failure chains before they can ever manifest at the aircraft level.

The Build Order

One foundation, three agents

The Tester and Investigator agents are more valuable to industry — and both are only possible once Ellie exists. So Ellie comes first.

01

In development — building now

Ellie

Foundation agent · ingestion & compilation

Ellie is the agent we are building first, and the one every other agent depends on. She ingests legacy aerospace safety documentation and compiles it into executable, machine-testable safety networks.

Ingests 150–1,500 pages of unstructured documentation into mapped system relationships
Cross-references multi-tier supplier silos to expose hidden component dependencies
Auto-verifies ARP4761A safety boundaries from legacy FHA and SSA documents
Audits gate logic with rigorous boolean reduction — zero room for human error

02

Planned — next after Ellie

Tester Agent

Verification agent · built on Ellie

Working on the safety networks Ellie compiles, the Tester agent will exercise a design against failure scenarios before they can ever manifest at the aircraft level — the step the industry values most.

03

Planned

Investigator Agent

Root-cause agent · built on Ellie

The Investigator agent will trace incidents backward through the compiled failure chains to isolate root cause — turning the same executable models into a forensic tool for fleets in service.

Trustworthy Framework

Built for zero-hallucination logic

Unlike generalized, off-the-shelf AI models that guess or hallucinate, our specialized multi-agent pipeline operates natively and exclusively on rigid fault tree data structures.

PHASE 01

Spatial parsing

Extracts precise Boolean gate mechanics (AND, OR, Priority-AND), transfer symbols, and primary event nodes directly from technical schematics.

PHASE 02

Relationship disambiguation

Connects the dots across disjointed files to spot structural anomalies and dependencies that no human eye could catch.

PHASE 03

Continuous logical cross-check

Mathematically evaluates the compiled network to verify that risk rules and failure-rate distributions match perfectly.