Manage information everywhere
View website
Manage information everywhere
View website.png){kind=small}
Rachel is records and information management thought leader. Prior to starting Castlepoint Systems, Rachel was at the Department of Defence helping with records management/auditing policy and solutions.
Gavin has 35 years of experience in a variety of senior roles in IT, Cloud, AI and integration, designing solutions for government and private sector companies.
Gavin has 35 years of experience in a variety of senior roles in IT, Cloud, AI and integration, designing solutions for government and private sector companies.
.png){kind=small}
There is a massive increase in the amount of digital data that often sits in fragmented data storage locations. This makes it impossible for record managers to ensure compliance obligations around audit, security and privacy are met.
.png){kind=small}
The system uses natural language processing to understand data points and then can apply relevant laws and policies to enable teams to correctly manage data. The Castlepoint’s system works across all major industries including government, education, commercial enterprises, finance, energy & utilities.
There is a massive increase in the amount of digital data that often sits in fragmented data storage locations. This makes it impossible for record managers to ensure compliance obligations around audit, security and privacy are met.
The system uses natural language processing to understand data points and then can apply relevant laws and policies to enable teams to correctly manage data. The Castlepoint’s system works across all major industries including government, education, commercial enterprises, finance, energy & utilities.
.png){kind=small}
Castlepoint’s AI system is more accurate and faster than human record management, allowing companies to focus on actionables instead of parsing through loads of data.
Castlepoint’s AI system is more accurate and faster than human record management, allowing companies to focus on actionables instead of parsing through loads of data.
.png){kind=small}
