London-based AVORA is an enterprise analytics platform using the power of augmented intelligence and machine learning to work with data in a new way. With its algorithms, AVORA helps businesses get the necessary insights and intelligence in just seconds instead of taking days or months.
In a recent development, AVORA has raised €5.7 million in a series A funding round from its existing investor Crane and Albion VC. Prior to this, the startup raised €1.7 million funding back in 2017. Notably, this enterprise analytics platform was founded in 2014 by Ricky Thomas.
In the current scenario, businesses have been let down by intelligence tools that are more important for a data-driven strategic analysis. This is where AVORA’s full stack system of intelligence comes to play as it transforms the operations of its clients.
AVORA shows real time data
AVORA’s Smart Alerts feature looks for anomalies in data in real-time and flags the same. This way, businesses will be able to spend less time in knowing the anomalies, make more effective decisions and get immediate results. In addition to spotting the data anomalies, this startup also lets businesses understand why it has happened with its useful Root Cause Analysis feature. This lets users act on the acquired insights instantly without wasting time.
A wide range of clientele
This London-based startup already has an impressive client base comprising Telefonica, HBO, NPR, OMD, Ocado and LatAm. With the raised investment, the startup aims to expand its presence in the US market and continue to develop its technology by improving its machine learning algorithms. It is also in plans to develop an app marketplace to let its users build their own solutions.
Revolutionises the business intelligence market
The founder and CEO of AVORA is bullish that their technology harnesses machine learning as well as augmented intelligence in order to revolutionise the issue and replace the fragmented legacy infrastructure with its continuous and end-to-end system of insights that are more flexible and faster to deploy and use.
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