Norbulk Shipping announces fleet-wide rollout of Kaiko Systems' SIRE 2.0 self-assessment and PSC preparation software

Norbulk Shipping has successfully rolled out Kaiko Systems' SIRE 2.0 software on its fleet of 27 tankers, preparing for the September 2nd inspection launch. They plan to expand this to all 60 vessels, enhancing PSC preparation and operational efficiency.

  • Norbulk Shipping successfully rolled out Kaiko Systems' solution on their fleet of 27 tankers.
  • The shipping company aims to apply Kaiko Systems now to the full fleet of 60 vessels to cover PSC preparation.

As the SIRE 2.0 ship inspection live launch date edges closer on 2nd September, Norbulk Shipping has announced the successful rollout of Kaiko Systems’ SIRE 2.0 self-assessment software across its fleet of 27 tanker vessels. 

Building on this success, Norbulk is now set to implement Kaiko Systems' Port State Control (PSC) preparation software fleet-wide, covering a total of 60 vessels, including both dry and wet fleet vessels. This strategic initiative is designed to enhance fleet performance, empower seafarers with innovative tools, and minimise unexpected issues.

Norbulk says the software tools, which are simple and easy to understand, have significantly reduced its crews’ administrative workloads compared to traditional reporting methods. Crew members have highlighted the user-friendliness, crew engagement, and shore-side visibility features of the software, recognising it as a valuable tool to improve operational efficiency and Port State Control readiness. 

Additionally, the implementation of Kaiko Systems software is expected to yield potential cost savings by reducing the need for in-person superintendent visits through remote inspections and improved crew accountability.

Walter Woodage, Director and General Manager at Norbulk Shipping UK Ltd, said: "We anticipate that Kaiko Systems will significantly improve our Port State Control performance and RightShip scores, directly impacting our operational efficiency and safety standards. This initiative is crucial for maintaining our reputation and competitiveness in the industry."

Fabian Fussek, Co-Founder & CEO of Kaiko Systems, said:  "At Kaiko Systems, we are dedicated to help shipping companies foster a culture of proactive issue reporting and continuous learning. By addressing reporting challenges and reinforcing proper procedures, we aim to support Norbulk in achieving higher standards of fleet performance and safety."

Key benefits of Kaiko Systems tools:

  • Reduce the administrative burden for crew by enabling inspections and reporting directly via mobile devices.
  • Provide shore-side teams with standardised data and insights into vessel conditions for proactive management.
  • Validate crew efforts and prevent "couch inspections," ensuring thorough onboard checks.
  • Combat "education fade," reinforcing continuous learning and adherence to procedures, thus reducing issues during Port State Control inspections.
  • Address cultural challenges by improving the transparency of issue reporting among senior officers, fostering a culture of openness and proactive issue reporting.

“Our innovative tools empower seafarers to conduct thorough inspections and report issues accurately, leading to more efficient and reliable maritime operations,” concluded Mr Fussek.

 

About Kaiko Systems

Berlin-based Kaiko SystemsGmbH was founded in late 2020 to make shipping safer, smarter, and more collaborative. The tech company has developed a smart and user-friendly data collection and analysis tool that provides shipping companies and their stakeholders with comprehensive insights into the manual part of technical operations, such as inspection and maintenance. With a user-friendly mobile app, crews are able to continuously collect reliable technical data on the job. The automated, AI-based analysis then provides shore teams with data-based insights on potential risks and efficiency gains. Disruptions and downtimes of ships can thus be reduced. For more information, visit www.kaikosystems.com  

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