Quality is front and center of everything we do at Ai-Media. Ai-Media’s caption quality is based on a robust, measurable and verifiable system consistent with international best practice.
Our caption quality is regularly measured by way of independent quality assessment, using NER* methodology. Audit reports are made available to our clients, and underpin our commitment to drive continuous improvement.
Quarter ended - Year
Number of programs sampled
NER score Average
Uptime greater than 99.9%
Sep-20
13
99.8
Jun-20
13
99.5
Mar-20
13
99.6
Dec-19
13
99.5
Sep-19
13
99.3
Jun-19
13
99.4
Mar-19
13
99.4
Dec-18
13
99.5
Sep-18
13
99.5
Jun-18
13
99.5
Mar-18
13
99.3
Dec-17
13
99.5
Sep-17
13
99.5
Jun-17
13
99.4
Mar-17
13
99.6
Dec-16
13
99.6
Sep-16
13
99.4
Jun-16
13
99.5
Mar-16
13
99.6
Dec-15
13
99.6
Sep-15
13
99.3
Jun-15
13
99.4
Mar-15
13
99.3
Dec-14
13
99.3
Sep-14
13
99.2
Jun-14
13
99.5
Mar-14
13
99.1
*The NER model is a method of calculating the accuracy (quality) of live captions. NER stands for; Number, Edition error, and Recognition error.
A NER value of 100 indicates that the content was captioned entirely correctly.
The NER score can be calculated using the following formula:
N (Number) = Total number of words in the live captions.