1/ In 2025, we introduced the world to LayerDrone:
Earth’s first autonomous aerial data network.
Now, the largest standardized drone imagery network on the planet.
Let's rewind to see what we accomplished 👇
Over in the LayerDrone Discord, @SpexiGeospatial contributor Duncan Smiff shared this footage they captured at 1am...
Anyone know what they're harvesting?
Elevated infrastructure can't be properly assessed from a single pass overhead.
From structural condition to wear and tear, it requires the right angle, captured the same way every time.
Pilots using the @SpexiGeospatial app collect this data in a standardized format that holds up across every crew and system.
This is physical-world infrastructure data, at scale.
How is data from the LayerDrone network actually used?
A pilot uses the @SpexiGeospatial app to fly an autonomous, 7-minute drone mission.
Once the mission is uploaded to @LayerDrone, the pilot is paid, and customers can leverage this data for a variety of uses, like...
We started the XP program a year ago to give pilots a way to participate in the community without flying their drone.
Since XP started:
- 100,000+ tasks completed
- Tens of thousands of XP contributors
- 4x in pilots in Discord
Thanks to all who participated!
The LayerDrone XP Program is now LIVE!
Now everyone can earn rewards for contributing to Earth's most detailed imaging network — no drone required!
Earn XP by:
🗣 Engaging with the community
⚡ Participating in challenges
📆 Hosting events & more
👇 Get started!👇
https://t.co/kAfzkjKwcq
Today marks a landmark partnership years in the making between Spexi and @NianticSpatial advancing the next generation of physical AI.
Niantic Spatial, a leading innovator in spatial intelligence for physical AI, is building the foundational models for the next era of robotics and spatial computing.
By combining Spexi’s global drone imagery network with Niantic Spatial’s world-class reconstruction technology, we’re enabling a seamless drone-to-3D pipeline for customers seeking high-fidelity Gaussian splat reconstructions and spatial intelligence at scale.
Spexi has also been selected as a preferred drone imagery provider for training Niantic Spatial’s real-world foundation models for physical AI—further validating Spexi as a best-in-class source of high-quality training data for the emerging ecosystem of precise world models.
Together, we’re enabling:
• City-scale 3D Gaussian splats
• Geo-referenced digital twins
• Standardized high-resolution drone imagery for AI training
• Real-world intelligence for simulation and spatial computing
The physical world is complex and constantly changing. Now there is infrastructure built to keep up with it.
Read more: https://t.co/6sdYlg0DAG
What do you miss when you only see things from above?
Guardrail condition. Alignment. Damage across hundreds of kilometers of road.
Multi-angle, standardized capture is what transportation teams actually need — and it's what pilots on the @SpexiGeospatial app are collecting every day.
That data lives on the LayerDrone network.
Manhole condition varies. Inspection standards shouldn't.
@SpexiGeospatial captures surface integrity and asset condition in a consistent, high-resolution format — every crew, every site.
@layerdrone makes that data accessible and comparable across your systems.
When you buy data from @SpexiGeospatial, you’re accessing a globally standardized aerial dataset captured the same way everywhere on Earth.
We use standardized drones, software, and automated flight plans in 25 acres hexagons across the @LayerDrone network to produce a consistent, high-quality imagery layer that simply hasn’t existed before at this scale.
Every capture is authenticated and verified on-chain, creating a trusted foundation for the next generation of physical AI models and spatial intelligence systems.
What's the strangest thing you've captured as a drone pilot?
@SpexiGeospatial pilot Vivacious-Swift says it was seeing the fallout from the Palisades Fire in Los Angeles last year.
Top-down imagery can't tell you if a sidewalk is safe.
Elevation, surface detail, and accessibility gaps requires a different perspective — and consistent data across every block and department.
Every mission flown on the @SpexiGeospatial app contributes that data to the LayerDrone network.
Finding and managing sewer access points in public spaces shouldn't be a guessing game.
@SpexiGeospatial captures each access point in high resolution, with enough location context to make it actionable.
This data can plug straight into existing workflows.
Over in the LayerDrone discord, pilots using the @SpexiGeospatial app connect with fellow drone operators and share their favourite drone captures.
This one's the Illinois River, as imaged by Everyday Anteater.
Hydrant condition assessments break down when every crew does it differently.
@SpexiGeospatial captures uniform data for each hydrant — visibility, access, condition — so evaluations stay consistent across systems.
Processed through @layerdrone, that data integrates directly into the tools teams already use.
Inspecting one overpass is manageable. Inspecting a highway network is another beast.
On the LayerDrone network, @SpexiGeospatial captures consistent datasets across every structure — same perspective, same standard — so network customers can see scale and detail alike.
How do you determine if something is hype or a real-world use case?
@SpexiGeospatial's Product Marketing Lead offers an answer on this week's episode of @DroneOn: actual customers.
How's your local bridge doing?
Pilots using the @SpexiGeospatial app can capture each bridge joint in high-resolution detail across multiple locations.
Customers can use this data to compare conditions and maintain reliable records — of bridges, other infrastructure, and more.