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Introducing Luma Agents
Luma AI · Mar 2026
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Ageospatial (YC F26) - Launch
Ageospatial · Sep 2026 · 1:03 · AI-annotated
00:00:00 / 01:03:13
The video opens with the launch, builds a problem montage of archival disaster grain and rooftop talking-head with serif captions scaling in word by word, then cuts to the product UI and glitchy 3D city flyovers before a closing vision and the wordmark. Pacing is fast at about 31 cuts per minute, and the signature move is white serif type popping in one word at a time over mixed live-action, grain, and 3D renders.
Footage neededEstimated needs: 1 capture group — your screens or recordings · 1 official logo — reused across the film · 22 filmed passages — shoot, supply or replace · 5 graphic passages — draw or supply · 9 3D passages — build or supply
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Ageospatial (YC F26) - Launch, scene by scene
· 39 scenes as text
01 · Product intro · 0:00–0:01
A man sits on a leather couch before a wooden bookcase, gesturing as he speaks. A white serif headline builds in above him with thin vertical line accents, then the A geospatial wordmark draws in across his chest.
On-screen text: “Today we're launching”, “geospatial”
Techniques: Kinetic type
Camera: Push in
02 · Problem · 0:01–0:03
A presenter in a black shirt gestures on a rooftop terrace against a pink sunset skyline. A white line-art world map glows behind him, then a large dot-matrix word billions forms overhead while serif captions appear around him.
On-screen text: “geospatial”, “Every year,”, “Today were launching”, “billions”, “of dollars”, “are”
Techniques: Kinetic type
Camera: Static
03 · Problem · 0:03–0:04
Grainy black-and-white view of Earth's curved rim against a star field, with a bright glowing band along the horizon. A large white serif sentence sits over the planet: 'are lost' holds in the lower right as 'to human' slides in from the left, words drifting across the frame.
On-screen text: “are lost”, “to human”
Techniques: Kinetic type
Camera: Static
04 · Problem · 0:04–0:04
Grainy black-and-white texture with a dark mass on the left and a pale speckled field on the right; the dark mass spreads rightward. Lowercase white serif words “to human and” sit at the left, scaling slightly, as “natural” fades in on the right in gray.
On-screen text: “to human and”, “natural”
Techniques: Kinetic type
Camera: Static
05 · Problem · 0:04–0:05
Grayscale footage of a stormy sea breaking on cliffs, a smoking chimney at left and birds crossing the sky. White serif type spans the frame; the left block 'to human and' scales in while 'disasters' appears on the right beside 'natural'.
On-screen text: “to human and”, “natural”, “disasters”
Techniques: Kinetic type
Camera: Static
06 · Problem · 0:05–0:05
Archival disaster footage: at night, figures walk a dark street lit by a warm glow, then a black-and-white view of a destroyed street with a lane-closed sign. A white serif caption continues the line, words scaling in as the shot cuts.
On-screen text: “to human and”, “natural”, “disasters”, “and”
Techniques: Kinetic type
Camera: Static
07 · Problem · 0:05–0:07
A man in a black shirt and backpack gestures while speaking on a rooftop, pink sunset skyline behind. A white bar chart grows behind him, its count updating from 2022 to 2025, while white serif captions 'it's to get', 'worse.', 'Insurers' appear over his chest.
On-screen text: “Events per year”, “2022”, “244 events”, “it's”, “to get”, “2025”, “363 events”, “worse.”, “Insurers”
Techniques: Kinetic type
Camera: Static
08 · Problem · 0:07–0:07
A locked-off shot of a house on a wooded hill, framed with rounded corners on a black background, with the word Insurers in white serif at the bottom center.
On-screen text: “Insurers”
Camera: Static
09 · Problem · 0:07–0:08
A grainy archival shot of a house on a wooded hill, a yellow car parked out front. A horizontal film scratch runs across the middle and a dark bar with a light leak frames the left edge. The word banks sits small and still at the bottom center.
On-screen text: “banks”
Camera: Static
10 · Problem · 0:08–0:09
A two-story suburban house on a lawn under an overcast sky, framed by pine branches, as the camera pans slowly right. The white serif caption “backing away” sits large across the lower frame while small serif words scale in one by one in the center.
On-screen text: “are”, “backing away”, “from”, “covering”
Techniques: Kinetic type
Camera: Static
11 · Problem · 0:09–0:10
A static, eye-level shot of a two-story house with a red roof and beige walls. The word covering scales into the lower center, followed by properties, appearing statically.
On-screen text: “covering”, “properties,”
Camera: Static
12 · Problem · 0:10–0:12
A man in a black shirt stands on a rooftop terrace, gesturing against a pink sunset skyline of San Francisco. A white serif caption at the bottom switches from infrastructure to land, then the frame dissolves into heavy grain.
On-screen text: “infrastructure”, “land,”
Camera: Static
13 · Problem · 0:12–0:14
A 3D particle cityscape of wireframe blocks drifts through a dark void with heavy chromatic glitch, the right side blooming into a bright particle swarm. White serif phrases cut in at center: the risk, too high, then they don't know.
On-screen text: “the risk”, “too high”, “they don't know what they're actually”
Techniques: Particles
Camera: Push in
14 · Problem · 0:14–0:15
A man in a black shirt and backpack stands on a rooftop terrace against a pink sunset skyline, gesturing as he speaks. A white serif caption line completes across the top with the word actually, then a large white serif word covering fades in at the bottom.
On-screen text: “they don't know what they're actually”, “covering”
Techniques: Kinetic type
Camera: Static
15 · Problem · 0:15–0:18
A man in a black shirt and suspenders sits on a brown leather couch before an orange bookshelf wall, gesturing with both hands. White serif captions pop in at different positions and scales, building the line about pricing risk.
On-screen text: “the question is no longer”, “they don't know what they're actually covering”, “how to price risk?”
Techniques: Kinetic type
Camera: Push in
16 · Problem · 0:18–0:18
Swirling white smoke-like patterns drift across a black background, with the word 'what,' centered in white serif text.
On-screen text: “what,”
Camera: Static
17 · Problem · 0:18–0:19
A grayscale field of dense map labels and vertical light streaks drifts slowly rightward while the word 'where' holds steady in the center.
On-screen text: “where”
Techniques: Parallax
Camera: Static
18 · Problem · 0:19–0:20
A monochrome macro shot holds on a metal caliper lying diagonally across an antique printed map. The frame stays still while small white serif words appear in the center one after another.
On-screen text: “when”, “cover.”
Techniques: Kinetic type
Camera: Static
19 · Problem · 0:20–0:24
A man in a black shirt stands on a rooftop terrace before a pink sunset skyline, gesturing as he speaks. A large white '97%' sits top right; smaller serif lines build beneath it line by line, with 'never' in red.
On-screen text: “97%”, “of commercial properties”, “are never”, “physically”, “inspected.”
Techniques: Kinetic type
Camera: Static
20 · Problem · 0:24–0:24
A grayscale satellite map fills the frame from above with shallow focus, while two fingers point at a road junction. A centered white serif caption types out word by word: “it's” then “it's too expensive”.
On-screen text: “it's too expensive”
Techniques: Kinetic type
Camera: Pull out
21 · Problem · 0:24–0:25
A white 3D city model with shallow depth of field drifts slowly forward. Small white serif captions fade in at the center, one phrase at a time, over the blurred buildings.
On-screen text: “it's too expensive”, “and”, “too slow”
Camera: Static
22 · Problem · 0:25–0:26
A man in a black shirt stands on a rooftop terrace before a pink sunset skyline, gesturing with both hands as white serif captions build across his chest.
On-screen text: “too slow”, “too slow to do so.”
Techniques: Kinetic type
Camera: Static
23 · Problem · 0:26–0:31
A man in a black zip top sits on a brown leather couch before a curved wooden bookshelf, gesturing as he talks. White serif captions build word by word above him, the word 'wrong' set in red, as the framing tightens to a close-up.
On-screen text: “So”, “insurers write premiums”, “what people tell them,”, “and they're”, “wrong”, “half of the time”
Techniques: Kinetic type
Camera: Push in
24 · Demo · 0:31–0:32
Over-the-shoulder shot of a man with a shaved head on a brown leather couch, typing on a laptop that displays a teal map with red pins. Caption words swap one by one at the bottom center, timed to the voiceover.
On-screen text: “and they're”, “wrong”, “half of the time”, “leading”, “billions”
Techniques: Kinetic type
Camera: Push in
25 · Demo · 0:32–0:33
Close-up of an Omen laptop on a wooden desk, its screen showing a 3D map of a bridge and coastline with data markers and the headline about fusing datasets. The words “billions” then “dollars” appear centered at the bottom, timed to the voiceover.
On-screen text: “Fuse thousands of datasets in seconds, anywhere.”, “billions”, “dollars”
Techniques: Kinetic type
Camera: Static
26 · Demo · 0:33–0:40
A flat product interface: a site list sits left while a white Site Risk Index detail panel slides in from the right over a satellite image. The panel scrolls down through risk rows as serif captions appear one by one at the bottom.
On-screen text: “Ageospatial”, “organizations”, “physical”, “assets,”, “properties,”, “infrastructure”
Techniques: UI zoom
Camera: Pan
27 · Feature reveal · 0:40–0:41
A 3D aerial flyover sweeps over a dense coastal city with a red suspension bridge, soft white clouds drifting across the rooftops. Caption words appear in turn at the bottom center while the camera moves.
On-screen text: “remotely”, “geospatial AI”
Techniques: Parallax
Camera: Static
28 · Feature reveal · 0:41–0:45
Isometric 3D city model floats over teal water, a building highlighted in peach then red. White serif phrases appear in sequence while a dark data callout sits over the building.
On-screen text: “geospatial AI”, “AI can”, “an asset is”, “what it does”
Techniques: 3D mockup, Kinetic type
Camera: Push in
29 · Feature reveal · 0:45–0:46
A 3D city model of a waterfront with a red truss bridge, brick building, and tree-covered parcel. The camera glides over the scene as an orange outline traces the parcel and a small properties tooltip pops up. The caption swaps from “what it does” to “what's around it”.
On-screen text: “what it does”, “what's around it”
Camera: Pull out
30 · Feature reveal · 0:46–0:47
A low-poly 3D map shows a brick building beneath an orange truss bridge, with a dark fire-risk tooltip pinned to its roof by an orange line. White serif captions swap at the bottom of the frame.
On-screen text: “what's around it”, “and”
Techniques: 3D mockup
Camera: Pull out
31 · Feature reveal · 0:47–0:49
A 3D harbor scene with a brick building and stone breakwater; the camera pushes in as a Water risk tooltip with a cursor pops up by the rocks. White serif captions what changed, anywhere, in the world appear in sequence over the water.
On-screen text: “what changed”, “anywhere”, “in the world”
Techniques: Kinetic type, 3D mockup, Cursor demo
Camera: Push in
32 · Feature reveal · 0:49–0:50
A 3D rocky slope under a pale sky, stone tower at the right edge. A white cursor rests on the rock as a red line extends to a dark label 'Landslide risk +' with an orange icon. A large white serif caption 'seconds.' sits locked at the bottom.
On-screen text: “seconds.”
Techniques: Cursor demo
Camera: Static
33 · Other · 0:50–0:53
A man in a black shirt stands on a rooftop terrace at dusk, city skyline behind him, gesturing as white serif words appear one by one around him. The scene cuts to Earth at night in space, “This means” centered over the planet.
On-screen text: “Humans”, “and AI”, “now”, “physical”, “This means”
Techniques: Kinetic type
Camera: Static
34 · Other · 0:53–0:55
A small 3D Earth with glowing city lights sits centered in a black starry field, camera locked off. Centered white serif text changes over it: “This means”, then “we have to map” with “map” in red.
On-screen text: “physical”, “This means”, “we have to map”
Techniques: Kinetic type
Camera: Static
35 · Other · 0:55–0:57
A night-side Earth globe with glowing city lights rotates in a black starry sky as the camera pushes in, then drifts left. White serif captions lock to the frame center, each ending in a red word: property, infrastructure, land, then “so that” drops to the lower center.
On-screen text: “we have to map every property”, “we have to map every infrastructure”, “we have to map every land”, “so that”
Camera: Static
36 · Other · 0:57–0:59
A man in a black shirt stands on a rooftop terrace against a pink sunset skyline, gesturing as he talks. White serif words appear around him: “so that they can” below, “efficiently” to his left, then “work” and “together.” flanking his chest.
On-screen text: “so that they can”, “efficiently”, “work”, “together.”
Techniques: Kinetic type
Camera: Static
37 · Other · 0:59–0:59
A man stands on a rooftop terrace against a dusk city skyline, hands raised, as the words efficiently, work, together. sit in white serif type across the frame. The shot fades to black while a thin white streak falls diagonally on the left.
On-screen text: “efficiently”, “work”, “together.”
Techniques: Kinetic type
Camera: Static
38 · Outro · 0:59–1:02
On a black field, white line strokes draw in to assemble the Ageospatial wordmark, the tall A built from a thin diagonal and a thick stroke, the o a small globe. The mark settles centered and holds still.
Techniques: Kinetic type
Camera: Static
39 · Outro · 1:02–1:03
The Ageospatial wordmark, a thin light-gray sans with a stylized A and a globe for the o, holds centered on black, then fades out to a black screen.
Camera: Static