Buried inside a December 1969 draft memo from the National Photographic Interpretation Center (NPIC) — the CIA's spy-satellite image analysis shop — is a four-point program that reads like a modern-day pitch deck for a computer vision startup. The document lays out a five-year R&D plan whose objectives are described with startling clarity:

a. To insure Center capacity to efficiently handle, process, copy, store and retrieve imagery materials both for present and future systems.

b. To find ways to make the imagery interpretation process more efficient, less costly and speedier without avoiding drugery and tedium.

c. To develop equipment procedures to extract maximum detail from imagery.

d. To preform the necessary investigations to push state-of-the-art in fields directly related to imagery exploitation and procedures.

The typos are the giveaway that this is a raw draft — "drugery" for drudgery, "preform" for perform. But strip the typos away and you have, in four bullet points, the exact business plan of a dozen 21st-century startups: Planet Labs, Orbital Insight, Descartes Labs, Palantir's Foundry. All of them promise to store, retrieve, and interpret satellite imagery at scale, extracting "maximum detail" faster than a human analyst ever could.

Who was writing this? NPIC was a joint CIA/DIA facility founded in 1961 to interpret imagery from the U-2, SR-71, and the Corona spy satellite program. By 1969 they were drowning. Corona had returned millions of feet of film. The mention of "new systems such as the [redacted]" almost certainly refers to KH-9 HEXAGON or the earliest concepts of KH-11 KENNEN — the first digital electro-optical satellite, which would launch in 1976 and effectively invent real-time orbital imaging.

Was this prescient? Extraordinarily so. In 1969, "computer vision" as a discipline barely existed — Larry Roberts' MIT PhD thesis on 3D object recognition was only six years old, and the term "artificial intelligence" was still fighting for legitimacy. Yet NPIC was already framing the problem correctly: the bottleneck wasn't collection, it was interpretation. Humans could not scale. The classified R&D dollars that flowed from documents like this one funded early work on automated change detection, digital image enhancement, and pattern recognition — the direct ancestors of the CNNs that today flag new construction at North Korean missile sites within minutes.

Note especially objective (b): make it faster and cheaper without avoiding drudgery. Read that as a Freudian slip. What NPIC actually wanted — and what took another 45 years to arrive — was to eliminate the drudgery entirely. When a modern analyst opens a Palantir dashboard and sees pre-flagged anomalies overlaid on a fresh satellite pass, they are living inside the future this memo tried to summon.

The other quiet tell: point (a) lists storage and retrieval as a first-class problem, alongside interpretation. In 1969, that meant miles of film canisters in climate-controlled vaults. Today it means petabyte object stores. The problem never changed. Only the medium did.