Your entire site. Inspected every day. Without putting people at risk.
We are building Dronifi, an autonomous, AI-powered drone-in-a-box for oil & gas sites. It flies scheduled inspection routes while onboard AI detects visual defects, structural issues, and gas hazards — delivering actionable inspection reports with zero human involvement.
Different missions, one dock — no pilot, no crew on site.
One dock, different ways of watching your site. Visual, structural and gas — each one its own mission, launched and flown without a hand on the controls. Full coverage, running itself.
Inspection happens once a year. Damage doesn't wait that long.
The status quo
- Rope-access and confined-space crews scheduled around shutdowns
- Corrosion and deformation are found after they've already progressed
- Every survey is a one-off — nothing consistent to compare it against
- People work at height and around hydrocarbons to collect data a camera could
The same flight, every time
- Dock launches autonomously on a schedule or on demand — no crew mobilised
- Structural and visual scans repeat the identical path and viewpoint
- Dronifi's AI Engine measures every pass against the last one, not filed and forgotten
- AI-flagged findings reach the integrity team before they reach failure
What it senses. What it understands.
Whatever the flight picks up — a corrosion spot, a millimetre of deformation, a gas reading — gets tied to the same point on the same asset and scored together by Dronifi's AI Engine, building one running history instead of a stack of separate reports.
Structural
LiDAR-based deformation monitoring, compared flight-to-flight by Dronifi's AI Engine, surfaces millimetre-scale settling or bulging in a tank or structure long before it's visible to the eye.
Visual Inspection
Close-range imagery scored and segmented by Dronifi's AI Engine's computer-vision models — corrosion, cracking, missing hardware, paint degradation and more — each one pinned to the exact point on the asset it was found.
Atmospheric
An onboard gas sensor autonomously runs a coarse-grid, dwell-based sampling pattern over the site, building a live concentration heatmap as it flies — and when it picks up a leak, onboard AI can steer the drone toward the source instead of just flagging it.
Photogrammetry pipeline
Reconstructs every asset as a dense 3D point cloud, rebuilt flight over flight, so teams can inspect the site's true geometry without leaving the office.
Predictive Analysis
Every inspection feeds Dronifi's AI Engine's health-index model and a forward-looking forecast per asset — so a trend toward a threshold gets flagged before the threshold is crossed.
Onboard AI
The onboard model reacts to what it sees mid-flight: zooming in the moment a defect is spotted, steering toward a gas leak's source. If it catches something urgent — a fire, flagged through thermal detection — the team is alerted immediately, not after the flight lands.
Power and a network connection. That's the site prep.
The dock handles takeoff, landing, charging and its own pre-flight checks without anyone on site — no pad to pour, no permanent structure to build. Give it a power source and a network connection, and it runs its own schedule outdoors, unattended, indefinitely.
- Site requirementsPower + network connection
- Pre-flight checksSelf-diagnostics + RTK lock, every launch
- Dock environmentOutdoor, unattended
- ChargingAutomatic, between missions
See it fly over your site.
Tell us about the assets you're inspecting today and how you're inspecting them now — we'll walk through what a Dronifi pilot would look like on your site.