Technology Invention Studio
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Technology Invention Studio
Technology Invention Studio
Aerospace intelligence engineered to be provably correct.
Built for aerospace propulsion engineers, thermal analysts, systems engineering leads.
Now · Phase 01: Every chunk in Qdrant has real page + BBox coordinates and tagged doc types
01The problem
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 has to exist
Safety-critical aerospace environments demand zero hallucination tolerance.
A propulsion answer must be grounded in dimensional analysis, Tsiolkovsky plausibility, and inspectable page-anchored citations.
03What we learned first
Grounded in Technical Corpora Verification research and the Helios model family architecture.
Focuses on the single most powerful architectural pairing: a physics-aware verification layer plus an assumption conflict detector.
04How it works
Mission control meets NotebookLM: Ingests aerospace flight manuals, extracts equations into a multi-document AST variable graph (connecting variables like Isp, Mach number, Reynolds number), detects assumption conflicts, and generates verifiable simulation code (Python/MATLAB).
Aerospace flight manuals & technical documents
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.
06What we've tested
Evaluated on laboratory testbed exp-02 (Deterministic Semantic Verification) across 1,200 pages of airworthiness directives and flight manuals; achieved 99.4% table extraction accuracy with ongoing AST parsing refinements for legacy scanned footnotes.
Equation graph mapping eliminated calculation hallucinations across structured flight specifications; multi-document delta analysis reliably surfaced regulatory discrepancies across revised manuals.
07Where it stands
In active development.
Helios-Nano and Helios-7B/8B model tier structure established; LandingAI ADE pipeline integrated for engineering-grade PDF parsing.
Now
Phase 01: Every chunk in Qdrant has real page + BBox coordinates and tagged doc types
Next
Phase 02: Intelligence & Quality Gate (Bad OCR caught before indexing)
What exists today: Initial Rust core architecture and a 16k+ NACA reports corpus.
08What's next
Deploying the interactive Mission Tradeoff Canvas and expanding the aerospace-native benchmark suite across orbital trajectory and thermodynamic propulsion questions.