Energy and maritime industry
Technical documentation that actually gets read
Energy and maritime operators hold decades of technical documentation. Arktis AI is developed to make that knowledge searchable without data leaving the organisation's own environment.
Focus
Analysis of technical documentation and closed operational data.
Benefit
On-premise installation to protect critical infrastructure.
Key challenges
- Documentation spread across many formats and systems.
- Operational data that cannot be sent to external cloud services.
- Safety-critical assessments with low tolerance for error.
- Knowledge that disappears when experienced staff leave.
Example workflow
- Documentation is indexed inside the customer's own environment.
- Questions are asked against the closed collection.
- Answers are delivered with document and section references.
- A responsible engineer verifies before operational use.
Data and control requirements
- Full local control of data.
- No outbound network traffic in restricted installations.
- Access control per facility or vessel.
Technical integration
- On-premise installation.
- Private cloud within European jurisdiction.
- Integration with existing document archives.
Relevant use cases
Search in technical documentation
Finding relevant procedures and specifications across manuals and reports.
Summarising deviation reports
Collecting patterns from incident reports into a readable basis for review.
Preparing maintenance input
Structuring history and documentation ahead of maintenance planning.
The model's role
The model makes documentation accessible. It does not control processes and does not replace safety assessments.
Human oversight
No safety-critical action should be taken on the basis of a model answer alone.