A camera crew you never hire
No videographer, drone pilot or editor per session. The venue gets a constant stream of cinematic, on-brand footage as a by-product of normal operations — content production costs collapse toward zero.
Automatic guest videos for venues
ÆTHER installs self-flying cameras at buggy trails, padel clubs, golf courses, resorts and farms. The system films each paying guest, edits the footage and sends a branded clip to their phone minutes later — a new product your venue sells, and marketing your guests publish for you.
In the social-media era every guest is a publisher. A venue without shareable video is invisible; producing it with people is expensive. ÆTHER turns that cost into a product — and into a marketing engine the venue no longer has to pay for.
No videographer, drone pilot or editor per session. The venue gets a constant stream of cinematic, on-brand footage as a by-product of normal operations — content production costs collapse toward zero.
Every delivered clip is branded user-generated content. Guests post their own rides, matches and rounds — and each post carries the venue's name straight to the friends most likely to book next. A short teaser clip can even be given away free in exchange for a five-star review, so ratings grow as fast as the feed.
Highlights feed the venue's own channels and ads without a production budget. Marketing spend shifts from making content to simply distributing what the system already delivers every day.
Most drone work stops at the footage and hands you a memory card. Ours does not stop until the customer has something they can use — which is where the cost, the delay and the staffing problem actually live.
The site is surveyed before we operate. The aircraft flies inside pre-approved corridors around a known route, holding safe altitude over terrain that climbs and drops.
Tracking, framing and scene understanding run on a ground station, not on the aircraft. The drone stays a sensor; the thinking happens where we can give it real compute.
AI cuts the video, writes the report, applies the branding and sends it. The customer gets the result on their phone; nobody at the venue touches a timeline.
Change the route file and the model, keep everything else. That is the whole argument for building this as a platform rather than a product, and it is why the second vertical cost a fraction of the first.
Autonomous camera work on a known circuit — the drone chooses the angle, not just the waypoint. Sold as an add-on to a ride already booked.
Padel courts we run ourselves. Recording starts with the booking; players get their rallies cut and branded before they leave.
Autonomous survey flights over mapped fields in Spain. AI reads the imagery and the grower gets a report, not a folder of files.
This is the actual sequence on site. It is the same on a trail, on a court and on a field — only the survey and the model change.
We map the site once: terrain, obstacles, exclusion zones, launch and return points. Everything the aircraft is allowed to do is decided here.
The aircraft launches on a learned trajectory and stays inside the approved corridor. Any command that would cross a boundary is rejected before it is sent.
The ground station tracks the subject or the crop, decides what matters in the footage, and discards what does not.
The output is assembled, branded and sent automatically — to a grower's inbox or a player's phone, minutes after the flight.
This is an enterprise-class multirotor, and that is the point. We do not build airframes and we are not tied to one supplier — the adapter layer is what makes any compliant aircraft usable.
When a model is discontinued, restricted for export or repriced overnight, our operations do not stop. That has already happened to operators who built their business on one manufacturer.
Cameras and airframes are becoming commodities — everyone can buy the same ones. What cannot be bought is a record of how a good operator actually flies a specific kind of ground.
A professional flies a new site manually until the system has reference trajectories for it. Those flights are the training set.
Trajectories, framing decisions and delivered outputs accumulate. Every job makes the model better at the next one of its kind.
A new field or court starts from a trained baseline instead of from nothing, so onboarding cost falls as the network grows.
Hardware sits where it is used and financed. The intellectual property sits where it scales. Growth is limited by demand, not by how many airframes we can afford to own.
Holds the client contracts, supplies and leases the equipment, and runs the flights. Opening a new site is an operating cost, not a capital event.
Owns the platform, the AI models and the flying data, and licenses the software to our own operations and to third-party operators.
Venue operators, growers and investors — same inbox. Partnerships, equipment supply and investment are handled directly by the ÆTHER team — fastest on WhatsApp.