A research engine for the NASA technical corpus. Ask in plain language — get answers grounded in real reports, with citations and the original figures.
Real answers from the corpus — cited, with the actual figures. Open one instantly, then ask your own.
Ask in plain language. Deep Field searches 4.5 million passages by meaning across the entire corpus — not just exact word matches.
Answers are grounded in retrieved report passages and linked back to the source document. You can always check the original.
586,000 figures and diagrams are indexed visually. Ask about a chart or schematic and Deep Field surfaces the actual image.
Paste a screenshot of a plot, equation, or diagram and ask about it. Deep Field reads what you give it alongside the corpus.
Pose a question the way you'd ask a colleague — broad or precise.
An agent runs multiple searches across text and figures, reads the hits, and reasons over them.
You get a synthesized answer with citations and the source figures, ready to verify.
Sourced from the NASA Technical Reports Server — decades of public-domain aerospace research, from Apollo-era memoranda to current mission science. New reports are added as the archive grows.
Yes. Deep Field is open to use. There's a generous daily limit per account to keep the service healthy for everyone.
The NASA Technical Reports Server (NTRS) — 108,000+ public-domain aerospace reports, papers, and technical memoranda. The corpus keeps growing.
Deep Field is retrieval-grounded: it answers from passages it actually pulled from the corpus and cites them, so you can check every claim against the source. No system is perfect — treat it as a fast research assistant, not a final authority.
Aerospace engineers, researchers, students, and anyone curious about space and flight who wants to find buried knowledge fast.
Deep Field is a public demonstration of what Intraplex builds — private, on-premise AI systems over an organization's own documents and data.
Deep Field is a public demo of
We build private, on-premise AI over an organization's own documents and data — the same engine, pointed at your corpus, behind your firewall.
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