The innovations Seer has deployed for Exis Technologies allow the group to scale faster with advanced AI-driven systems that are ready to scale.
These developments also allow Exis Technologies to enhance data visualisation internally and with their clients making for a better environment for all.
AI Development
Seer are working with Exis Technologies to develop and deploy innovative AI and Machine Learning Driven solutions for hazardous cargo monitoring and rule recommendation.
These customised client-facing models are built using a modern tech stack and techniques such as word tokenization and generative indexing.
Exis Technologies and Seer work together to deploy these solutions to better improve cargo hazard monitoring globally for global container lines
Maritime Transparency
For Exis Technologies, Seer also developed and introduced a suite or analytics dashboards and platforms so that deeper insight could be given into Exis’s already large data set of over 31 Million Records.
These Dashboards were delivered as client-facing so that Exis’s clients could investigate their own use of the Hazcheck system and the cargo that is monitored through it.
The advanced analytics solutions allowed almost real-time tracking of cargo through the platform and support the development of new hazard-checking rules through NLP investigation as well as the investigation of staff workflow and global operations.
Working as an extension of our development team, Seer has supported us to propel the introduction of new data technologies into our services.
Mike Durkin
CIO - EXIS TECHNOLOGIES
Scaleable Systems For Platform Operations
By working within Exis Technologies’ current Azure Data Lake and Blob Storage infrastructure, we can deliver a future-ready and expandable tech stack using the most popular and up-to-date architecture, including Python, Data Factories, Azure Functions and Deployable AI.
Customised Maritime
Data Services
Seer provides customized maritime data services to clients, from data extraction to transformation to loading to prepare data for visualisation or machine learning / AI.
This tailor-made approach makes us flexible to work with the most complex data problems and setups.