Our way
Compositive
Coldwater Canyon Estate · Beverly Hills · $2,495,000
- Input
- Your photos · MLS data · public APIs
- Output
- Your property, composed frame by frame
- Hallucinations
- ZERO — every pixel traces to a source
Now in early access
Cinematic listing videos. Real data. Zero hallucinations.
Real estate AI video that doesn’t fabricate.
We compose the property, the data, the neighborhood — frame by frame, from sources you can name. Watch a full Beverly Hills luxury listing in 73 seconds.
First wave locks founder pricingNo card required
See the difference
Raw listing photos in. A cinematic, data-rich video out.
Drag the slider. The same Beverly Hills listing — raw MLS photos on one side, the composed video with real neighborhood data on the other.
Exterior
Great Room
Kitchen
Pool & Spa6-stage AI pipeline
See what happens when you paste a URL.
One listing URL triggers a six-stage pipeline: depth maps, room classification, live data from public sources, scene composition, neural narration, and a cinematic render. Scroll to watch each stage — or tap a step to jump.
Photo analysisBuilding depth maps
8 photos detected · per-room depth estimation
2
Room classification
3
Data enrichment
4
Scene composition
5
Audio
6
Render
Building depth maps
Stage 1 of 6
DEPTH ✓DEPTH ✓DEPTH ✓DEPTH ✓Live preview — illustrative of a real processing run.
Six stages. About 90 seconds. Every time.
The moat
We orchestrate reality. They guess at it.
There are three ways to make a video of this home. The generative path: write a prompt, accept a plausible house the model invents. The slideshow path: crossfade your photos, no story. The compositive path — ours: bring real photos and real data, and the engine composes them into cinema, frame-accurate and source-cited.
The two other ways everyone settles for
Legacy
Slideshow
- Input
- Your photos only
- Output
- Crossfades, no neighborhood story
- Hallucinations
- None — but also no data
Generative AI
Generative
- Input
- A text prompt
- Output
- A new home the model invented
- Hallucinations
- High — inherent to the method
Determinism is the moat.Same input renders the same video — every render, every time.
The data layer, made visible
Real photos in the frame. Real data around it.
Every number you see was pulled live from a public source and composed into the cut — NCES school ratings, FRED market data, mortgage math, and OpenStreetMap amenities. Not invented. Sourced.
Composed from a real listing. No templates, no editing, no stock footage — paste a URL or drop your photos and the engine does the rest.
Get this on your next listing.
Join the first wave to lock founder pricing — your first listing video is $9, watermark-free, and you see it before you pay.
Built by Blue Snow Developers — the independent studio behind Party Genius, SplitGenius, and Fokiq.
Or watch the full cut, compare the tiers & pricing, read how we handle your data, or meet the team building it.
Four feeds, four receipts
Everything you just watched came from a real data source.
We don’t generate video from prompts. We compose it from data you can audit. Here is each data scene at full size — exactly as it renders — beside the number it shows, the source it came from, and the math you can re-run. If the underlying data changes, the next render reflects it. That’s the contract.
9/10
Top school rating nearby
Hawthorne Elementary 8 · Beverly Vista Middle School 8 · Beverly Hills High School 9
We derive a 1–10 score from NCES public-school data (enrollment and pupil-teacher ratio) — the same federal dataset for every U.S. public school, rendered verbatim.
Source: NCES public school dataOn screen: “Top-Rated Schools Nearby (9/10)”
$5.25M
Area median home value
This home $2.50M vs area median $5.25M · 45 days on market · +3.8% YoY
Area medians, days-on-market, and YoY appreciation come from the public housing-market series on FRED (Federal Reserve Economic Data) — the same series, no marked-up middleman.
Source: FRED housing-market dataOn screen: “Area Insights · Balanced Market”
$13,050/mo
Estimated monthly payment
6.85% 30-yr fixed · $499K down (20%)
The 30-year fixed rate comes from Freddie Mac’s weekly survey on FRED; the payment is computed from the list price — arithmetic you can re-run, not a guess.
Source: Freddie Mac rate via FREDOn screen: “Mortgage Estimate · Per Month”
12
Amenities mapped nearby
7 categories — Fine Dining, Gourmet Markets, Parks & Gardens, Wellness & Fitness, Cafes, Medical Centers, Pharmacies · 0.1–2.7 mi
OpenStreetMap is the world’s largest open geographic dataset, 9M+ contributors — the map and every distance render straight from it.
Source: OpenStreetMapOn screen: “Daily Life Here · 12 Amenities Within Walking Distance”
One render. Four public data feeds. Zero prompts.
Watch the engine
One engine. Every tier.
Each template in the catalog audits a different power of the engine — luxury restraint, starter-home approachability, condo-tower modernism. Same deterministic pipeline. Same real-data contract. Pick one in the catalog and apply it to your next listing in one click.
The full cut
Beverly Hills luxury home. Real photos, real NCES school ratings, real FRED market data, real mortgage math, and real OpenStreetMap amenities. Composed end-to-end by the engine — same render every time.
More tiers, more templates, one engine.
Every tier includes the full template range — starter homes, condos, townhomes, multi-family and the luxury tier you just watched. See what each plan includes and pick the look that matches your brand.
The comparison
The only listing video with the neighborhood in it.
Four ways agents make listing videos in 2026 — and the one that composes real data, share pages, and lead capture into a single render.
Scroll right to compare →
| Feature | TargetVid | Template editors | Generative AI | AI avatar tools | Videographer |
|---|---|---|---|---|---|
| Real neighborhood data scenesWalk Score, school ratings, market trends, mortgage, commute — animated in-video | |||||
| Live public-API data layerWalk Score, NCES, FRED, OpenStreetMap, Mapbox, and more — sourced, not invented | 9 sources | ||||
| Paste a listing URL → videoAutomated photo extraction, data enrichment, scene composition | |||||
| Your real photos · zero hallucinationCompositive rendering — no AI-invented rooms, furniture, or geometry | |||||
| Interactive share page + lead captureBranded landing page per video, viewer analytics, lead forms | |||||
| AI voice narration + captionsNeural narration with word-level captions and music ducking | Manual | ||||
| Cinematic depth parallaxAI depth estimation drives 2.5D camera motion on still photos | Filmed | ||||
| Deterministic — same render every timeFrame-accurate, reproducible output; re-render reflects updated data | |||||
| Time to finished video | < 5 min | 20–30 min | 15–60 min | ~10 min | 3–7 days |
| Typical price | From $9 / video | ~$15 / mo | ~$19–49 / mo | ~$24–89 / mo | $150–600 / shoot |
Generative AI
Invented rooms & warped geometry
Fully AI-generated imagery fabricates fixtures and spaces that aren’t in the real home — a buyer-trust and disclosure risk.
AI avatar tools
A talking head, not the home
Avatar-first tools center a presenter, with no neighborhood data layer and no per-listing share funnel.
Hiring a videographer
Days of turnaround, hundreds a shoot
Beautiful footage, but slow and costly per listing — and still no animated data scenes.
A comparison of the common approaches to making a listing video. Typical times and prices reflect general market rates as of May 2026, not any one product.
Who it’s for
Built for the people who close listings.
Solo agent
More inquiries on every listing.
Listing video is the asset most agents skip — too much time, too much edit cost. We turn the listing you already have into the video you didn’t have time to make, in about 90 seconds, from photos you already shot.
Built for the agent who shoots their own photos and posts their own listings.
Brokerage owner
Listing video that scales across your whole roster.
Most listings still go to market without video. The agents who do post video keep showing up first in the feed. We give your brokerage the production pipeline that scales — same template, every agent, every listing.
One template, every agent. Designed for brokerage rollout in 2026 H2.
Photography vendor
Add video to your package. Without adding video work.
You’re already at the property with photos. We turn those photos into a cinematic listing video — same trip, additional line item, zero added shoot time.
Add-on pricing $99-$249 typical. Adjust per market.
The platform
One engine. Many verticals.
We built the compositive engine for real estate because that’s where the data is richest and the inquiry math is clearest. The engine doesn’t know it’s a real-estate engine. Any vertical with structured data composes on the same rails — one week of templates, not one year of engineering.
Real estate
LiveListing videos with Walk Score, schools, market data.
Mortgage
Q3 2026Rate-environment + market-update videos for loan officers.
Memorial
In designObituary tribute videos composed from photos + life dates.
Auto dealers
In designNew-inventory cinematic walkarounds from photos + spec data.
Brokerage
LiveMulti-agent team licensing on the same render pipeline.
Custom
On requestYour vertical, on the same engine. Tell us what data you have.
Don’t see your vertical? Tell us. The engine ports in a week. The waitlist remembers.
FAQ
Questions we hear most.
Last updated: 2026-05-14.
First wave
The first wave opens soon. We’ll save you a seat.
Real-estate agents go first. Mortgage, auto, and memorial follow. Drop your email — we send one note the day your wave opens.
First video $9, then pay per video — no subscription. No card required for early access.
Explore TargetVid
Pricing — pay per video, founder rateJoin the early-access waitlistWatch the full demoAbout the teamContact usHelp centerTrust centerChangelog & recent updatesSystem statusPrivacy policyTerms of serviceDMCA notice & takedownWhat you get with early accessHow the engine scales beyond real estateGetting started guideSecurity & compliance