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C-MAP ADMIRALTY ENC SERVICE (CAES)

C-MAP ADMIRALTY ENC SERVICE (CAES)

C-MAP ADMIRALTY ENC SERVICE (CAES)

C-MAP, a leading supplier of digital navigation products into the maritime market has been appointed by the United Kingdom Hydrographic Office as a distributor of its ADMIRALTY products.

AVCS - the world’s leading ENC Service - will now be provided by C-MAP in the time and cost efficient DNV certified SENC data compression format.

Named C-MAP ADMIRALTY ENC Service (CAES), the new service is complementary to other C-MAP services including Weather, Piracy and Professional+ (Pro+) chart data.

Based on ADMIRALTY AVCS data, CAES provides the widest possible coverage available in official ENCs.

Customers can now benefit from a number of innovative licensing solutions for navigational data which will assist in meeting their obligations for safe navigation. 

As a global distributor for Admiralty products, C-MAP strengthens its position as the cost effective and flexible provider of navigational products  for safe and smart shipping.

  • Overview

    Our C-MAP ADMIRALTY ENC Service gives you the freedom to choose the licensing methods best suited to your company or vessels. Your options include FlatFee, OpenENC (PAYS), DynamicLicensing and DirectLicensing.

    Most of our C-MAP Licensing methods can also be combined to meet your unique operational requirements.

     

    The CAES Format

    CAES is distributed in our DNV approved SENC format. This compressed format allows the data to be imported into your ECDIS in a fraction of the time required by other data formats, reducing risk and communication costs - making the update process simple and easy.

  • Key Features

    • Satisfies the SOLAS carriage requirements
    • Enables paperless navigation on a type approved ECDIS
    • Easy and flexible licensing
    • Type approved SENC distribution
    • Quick and easy installation
    • Supported by the majority of ECDIS systems
    • CAES updating includes New Editions and New Charts
    • CAES is effective and efficient – lower data sizes mean lower communication costs
     
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