Ship Inspection AI
Find corrosion, coating breakdown, fouling, and damage on hulls, tanks, holds, and decks from crew photos, drones, and ROVs, on every vessel in the fleet.

Ship Inspection AI for the Toughest Hulls, Tanks, and Fleets
Deploy Anywhere, Run Everywhere
Run ship inspection on crew tablets and phones, drones in tanks and holds, and ROV hull footage, on board with no connection, on shore in the cloud, in your VPC, or via API.
One Platform, Full Adoption
Tools every maritime team can adopt, from crews and superintendents to technical managers, surveyors, and the product teams building inspection software, no separate ML team required.
Secure, Compliant, and Audit-Ready
Data stays safe with SOC 2 Type II compliance, encrypted data, HIPAA compliance, and an uptime SLA, with an annotated, dated image behind every finding on every vessel.
- Hull Corrosion & Coating Breakdown
- Biofouling & Hull Condition
- Ballast Tank & Cargo Hold Defects
- Cracks, Dents & Deformation
- Deck Equipment & Safety Gear Checks
- Crew, Drone & ROV Imagery
“Achieving positive results using AI in a lab environment is easy, but the real challenge comes when scaling the solution across a network like ours without disrupting day-to-day operations. Our partnership with Roboflow is allowing us to do just that.”
Asim Ghanchi
AVP of Technology, BNSF
Talk to a Vision AI engineer who's shipped in maritime.
Bring us your toughest vessel inspection problem and we'll map a working solution.
Ask us about:
- Solution architecture that fits your fleet, inspection routines, and reporting tools
- A live demo on your own crew, drone, or ROV images
- Deployment options: on board, edge, cloud, on-prem, or VPC
- ROI modeling against superintendent visits, survey prep, off-hire days, and repair costs
Over 80,000 organizations build with Roboflow.
- Rivian
- Pella
- Chobani
- USG Corporation
- BNSF Railway
- American Woodmark
Vision AI is transforming businesses
Customers across the board are solving complex challenges and driving meaningful impact.
- Automotive customer
$10 million
Saved by automatically detecting defects on the production line
- Logistics & freight company
90%
Less time spent manually tracking shipping inventory
- Building materials supplier
60%
Lower customer return rate with improved product quality