Astraeus

01The question

Critical flight standards (FAA FAR Title 14, EASA CS-25, MIL-STD-810H, ICAO Doc 9859) and multi-decade NASA/ESA technical reports remain locked in fragmented, unstructured PDFs.

Generic LLMs hallucinate calculations and cannot detect conflicting aerodynamic or orbital assumptions.

02Why it mattered

Safety-critical aerospace environments demand zero hallucination tolerance.

A propulsion answer must be grounded in dimensional analysis, Tsiolkovsky plausibility, and inspectable page-anchored citations.

03How we approached it

Coupling the proprietary Helios base-model family with a dual-layer verification system: a physics-aware verification layer checking dimensional units and plausibility, paired with an AST equation graph and assumption conflict detector.

04How it works

High-integrity semantic knowledge infrastructure transforming technical manuals into verified, queryable engineering lattices with automated simulation code generation (Python/MATLAB).

05How it's built

Rust control plane for high-performance ingestion, RBAC, and serving + Python intelligence services.

Features LandingAI ADE integration, custom bi-encoder aerospace embedders, and an internal 200–500 question aerospace-native benchmark suite.

• Helios Model Family
• Rust Control Plane
• AST Equation Graph
• Physics Verification Layer
• Assumption Conflict Engine
• LandingAI ADE
• Bespoke Bi-Encoder

06What we observed

Evaluated against 1,200 pages of aerospace specifications (exp-02); reference verification reached 99.4% accuracy on structured tables and 87.1% on unstructured engineering footnotes.

Equation graph successfully traced variable flow across heterogeneous documents.

07Where it is now

In active development.

Helios-Nano and Helios-7B/8B model tier structure established; LandingAI ADE pipeline integrated for engineering-grade PDF parsing.