Fennaio | artificial intelligence software

Diagnostics AI Software for the Telecommunications industry

Artificial Intelligence Software
Machine Learning Data Science Software
Deep Learning Software

[*images maybe holding images until release date]

We are specialists in the practical application of Artificial Intelligence including Diagnostics AI, Machine Learning, Deep Learning and Data Science Software used within Telecommunications processes and operations

Using past diverse data to learn from, AI can rapidly use current data and scenarios to accurately diagnose highly variable issues.

The power of diagnostics

Being able to automatically diagnose an issue based on past diagnoses, events and knowledge is an extremely powerful tool in all aspects of business and industry operations.

By learning from past operations and processes, including positive events, negative events, and all the in-between variable and unpredictable events that happened before; diagnosis is more insightful, more meaningful, more accurate, and more likely to result in a beneficial output: e.g. financial gain, increased efficiency, lower risk, improved processes, better customer journey mapping and experience, or greater consumer satisfaction.

Importantly, a faster, accurate diagnosis potentially saves time, cost and other resources in the future.

The more past data, diagnoses, experience, knowledge, events and processes to learn from the more accurate and informed we can make our current diagnosis.

NameELDR - Diagnoser
Release DateFebruary 2021
Hosting/installationLocal Standalone, Internal Network or Cloud
IntegrationDirect coupling or RESTful API
PriceContact Us
LicenceContract basis
SLAContract basis
UpgradesContract basis

AI makes automatic diagnosis possible

Learning from past diagnoses, gained-knowledge and experiences in order to make a new diagnosis might sound straightforward - it is of course exactly what a human brain does - but making this process automatic and asking a machine to do this is extremely complex and demanding, mainly due to the large amount of variability involved.

If a traditional software programming approach was used, the computer would continually be asking "if this, then do that; if x and y, do z". This stepwise methodology is limited, tedious and resource-heavy as the program will only do what it has explicitly been told to look for by the programmer; making it next to impossible to account for all possibilities and variations, even in the simplest of diagnoses. You certainly couldn't use this approach for complex and diverse diagnosis scenarios.

With AI and Machine Learning technology it is now possible to learn from near infinite amounts of variable, constantly changing data in order to make much more accurate diagnoses, automatically.

ELDR Diagnoser is a powerful Deep Learning package that can help diagnose issues, scenarios and events based on variable past and complex data it has learnt from

ELDR Diagnoser is a variant of Fennaio's core AI predictive analytics software - ELDR Predictor. Using our powerful ELDR AI Engine, which is a Deep Learning Artificial Neural Network, ELDR Diagnoser uses both Supervised and Unsupervised learning to make and link complex relationships from data (of any size or complexity) passed to it.

When ELDR has learnt (trained) from the data, it is then primed to receive current-status data from which to make a diagnosis from.

A simple example using ELDR Diagnoser

Consider you are a Health Care Provider such as a GP Practice in the NHS and over the last 5 years you have used an online system to help triage about 100,000 patients and manage the patient journey from the point of entry to your surgery and beyond. However you have noticed a variable degree of success of this system, and would now like to make much better informed triage decisions to make sure the patient receives the most appropriate treatment but also save your practice time and money. You ask about 50 symptom and other related questions on the system and over time you have recorded whether the system triaged correctly or where the patient eventually ended up.

With ELDR Diagnoser, you simply pass the entire known data set (online symptom questionnaire answers and eventual outcome) in, it will self-sort and label the data, self-optimise, self-learn and using a combination of Supervised and Unsupervised Learning will make all the links between all data sets, accounting for wide variation; in this example of 50 data points with 100,000 rows of data there are ~ (50 x 50 x 100,000) 250 million possible combinations. You can then probe ELDR for a diagnosis by sending in a single current data set (or this case a single questionnaire) which will tell you, from past experience, where the patient would likely eventually end up.

ELDR Diagnoser is highly dynamic, autonomous, configurable, graphical and easily integrated


ELDR Diagnoser can handle and learn from multiple sources, sizes and complexities of data for numerous prediction requirements simultaneously. Data can be changed at any time and it can continually learn. The software can carry out supervised and unsupervised learning.


By default ELDR is plug and play - you can simply give it appropriately formatted data and it will automatically learn from it, including self optimisation and self scaling.


In many cases you may be happy with plug and play, however almost everything in ELDR is configurable; from which data fields to use as inputs and outputs, to colours, displays, output format, learning modes, learning accuracy, all the way through to Artificial Neural Network dynamics and dimensions.


ELDR Predictor uses a rich intuitive GUI Dashboard from which to manage the whole AI process (data preparation, learning, outputting and testing), including a comprehensive suite of gamified charts and other visual displays to monitor everything.

Easily Integrated

AI Integration is our speciality. We understand that AI can be used in a variety of ways and in numerous system-types and processes. We build our software to be entirely modular and there are multiple integration methods and points ranging from network-based RESTFulAPI integration to direct coupling at the code level, depending on the response time required, amongst other considerations.

Key points about our Diagnostics AI software

  • Can help make more accurate diagnoses from past data
  • Can handle numerous data streams and outputs simultaneously
  • Uses our powerful ELDR AI Deep Learning Artificial Neural Network Engine
  • Dynamic
  • Autonomous
  • Configurable
  • Graphical
  • Easily Integrated

Example areas where Fennaio can help with AI, Machine Learning and Deep Learning in the Telecommunications industry

AI can be used all over the Telecommunications industry, including these processes, operations and tasks:
  • customer service
  • customer journey mapping
  • customer response
  • predictive maintenance
  • network optimisation
  • anomaly detection
  • behavioural profiling
  • data analysis
  • modelling
  • automatic replies
  • targeted communications
  • diagnostics
  • rapid response
  • emergency communications
  • call prioritisation
  • secure communications
  • big data insights
  • surveillance
  • staff performance
  • training
  • many more...

How Fennaio can help you efficiently integrate Diagnostics AI Software with your Telecommunications operations

AI Education

for Diagnostics in the Telecommunications industry
Fennaio helps your Telecommunications organisation with understanding the fundamentals of exactly what Diagnostics AI is, how you can use it, where you can use it and how you can implement and integrate it - all in an easy-to-digest manner.

AI Strategy

for Diagnostics in the Telecommunications industry
Fennaio works closely with you and your relevant teams to understand your Telecommunications organisation operations and your long term goals so we can plan when and where to introduce Diagnostics Artificial Intelligence with minimum disruption and maximum benefit.

AI Tooling & Development

for Diagnostics in the Telecommunications industry
Fennaio provides all the relevant hardware, software, network and infrastructure requirements you need to implement Diagnostics Artificial Intelligence, whether this be an off-the-shelf software product or system, or a completely bespoke solution, a standalone piece of software or an enterprise-grade package.

AI Data Analytics

for Diagnostics in the Telecommunications industry
Fennaio partners with you to fully understand your current data, how it relates to and is currently gathered from your current Telecommunications operations, and how to harvest, analyse and prepare it for use in Diagnostics Artificial Intelligence and Machine Learning to result in maximum gain.

AI Learning

for Diagnostics in the Telecommunications industry
Fennaio will use your correctly formatted data streams to train the Diagnostics AI, Machine Learning or Deep Learning system by using an optimisation and scaling up procedure until the Diagnostics AI is fully and continually primed to start outputting useful information for your Telecommunications operations.

AI Visualisation

for Diagnostics in the Telecommunications industry
When the Diagnostics AI is fully trained, Fennaio will feed it live Telecommunications operations or test data and use various visualisation techniques to confirm with you a beneficial output is being achieved; whether this be a prediction, pattern recognition, a rapid analysis, a diagnosis or any other type of output.

AI Integration

for Diagnostics in the Telecommunications industry
When you are satisfied the Diagnostics AI software is producing effective results, we will integrate the AI into your existing systems if required. Whether this be at the code level, integration over a network or as a standalone process, we will seamlessly integrate the AI with your Telecommunications operations.

AI Delivery

for Diagnostics in the Telecommunications industry
After the Diagnostics AI is successfully integrated into your Telecommunications operations, we will continue to monitor the whole Diagnostics AI process from data acquisition, analysis, processing, learning, visualisation and output until you are fully satisfied you have an AI system that is achieving your operational goals.

Other AI Software for the Telecommunications industry

As well as Diagnostics software for the Telecommunications industry, we provide a comprehensive set of other Artificial Intelligence, Machine Learning, Deep Learning and Data Science software:

How Fennaio works with you at every stage of the AI and ML Integration process.

Whether you are starting out on your first AI project, just interested in the possibilities of AI or are wanting to expand your existing AI suite, we are here to help.

AI Survey & Plan

We will discuss with you where you are, where you want to be, and how we can achieve it with AI - whether by a bespoke solution or using one of our off-the-shelf products

AI Data Analysis & Preparation

We will work with you to gather, analyse and prepare all your relevant data sources for use in the AI system(s)

AI Execute & Visualisation

We will run and tune the AI throughout the AI learning process and enable the AI to produce a real time visual output to confirm the AI is producing beneficial results

AI Integration

When you are satisfied the AI is delivering the results you desire, we will integrate the AI with your new or existing systems

You are one step closer to getting Artificial Intelligence into your Telecommunications organisation

Fennaio has the expertise in the Telecommunications sector to get you up and running with Diagnostics AI and Machine Learning in your new or existing systems, software and operations.

Get Started
no to gdpr