Skyfish's capture advantage in telecom
Orest Pilskalns, CEO of Skyfish, on building autonomous drone infrastructure
This points to Skyfish winning on input quality, not just on software features. Bentley already gives engineers the rendering and digital twin layer, so when Skyfish produces tower models that stand out inside Bentley based workflows, it suggests the advantage is upstream in capture, sensor control, geotagging, and object understanding. That matters most in telecom and utility jobs where a bad model means another truck roll, another climb, and another delay.
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Skyfish is not replacing Bentley. It uses Bentley for the rendering engine inside Skyportal, then adds its own presentation layer and 3D machine learning to turn raw polygons into identifiable tower components that can actually be measured and analyzed in workflow.
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Bentley is strongest where customers need engineering grade tower twins, as built versus as designed comparisons, remote inspection, and equipment level analysis. In that context, better source imagery and better alignment show up immediately, which is why tower models are a strong proof point for Skyfish in telecom.
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This also shows where Skyfish sits in the drone market. Skydio leads in autonomy and public safety, while software first players like Propeller and DroneDeploy optimize ease of use for broader mapping jobs. Skyfish is aiming at the narrower, higher precision inspection lane where hardware and software need to be tightly coupled.
The next step is turning superior models into a system of record for critical infrastructure. If Skyfish keeps owning the capture layer in towers and power assets, it can move from selling drones and processing into recurring inspection, monitoring, and eventually autonomous drone nest workflows where precise data compounds over time.