Fedr8 the machine learning technology developer has had a transformational 12 months. The highlights of this period include;

  • The launch of the Green Rain application analytics solution
  • The successful validation of the efficacy of Green Rain’s static source code analysis by three of the world’s largest Global footprint systems integrators
  • Entered into commercial/contractual negotiations with two of these Global businesses
  • Building and user training about to start on a production environment for our first paying customer
  • Developed a customisable presentation layer to suit every Partners bespoke needs
  • Leon Zackoski a US based machine learning engineer is developing a new COBOL module, opening up the world’s largest legacy software issue to Green Rain Analysis

The past year has seen Fedr8 launch a new product, Green Rain 1.0, which superseded the Argentum development product. Green Rain has been built using extensive industry feedback from proof of concept trials with the Argentum product and has an intuitive presentation layer which is more precise and usable than the Argentum product. The latest iteration of Green Rain 1.4 is now fully customisable by warning and category by end users and partners allowing the screening of analysis to even more granular depth.

This more granular analysis means that the time saved by developers to analyse as to whether to retire, rewrite or update an application before a move to cloud is now accelerated yet further. The time savings envisaged by customers in this process is weeks and even months per application analysed. In software estates that number into the thousands of applications the potential savings run into the multiple millions.

The commercial model preferred by the companies we are in discussions with is a consumption model. This would mean Fedr8 supply a blue printed technical specification for an environment for the Green Rain software to run on. This would be hosted on our partners infrastructure and they would pay for the associated ongoing running costs. The Partner would then pay a multi-year licence to use each installed platform.

Fedr8 is now confident that it will be a revenue generating company over the next six months as existing relationships and negotiations become fee paying contractual relationships and new engagements mature.

Entering a global enterprise market with a new and disruptive technology has taken longer than Fedr8 expected with sales lead times stretching to 12 months and longer and on behalf of the company I thank shareholders for their support and patience throughout this process.


Damion Greef, CEO
Tel. 07823328816
Email. info@fedr8.com

Notes to editors:

Fedr8’s software solves one of the major IT problems in the world today: How does a major international company move to the cloud and capitalize on the efficiencies and economies that the cloud brings? The shift to cloud technologies and the digital transformation projects undertaken by large enterprise organizations pose many challenges, there are the unknown figures relating to cost and time for migration or transformation. In addition, there are unknown risks relating to relocating or changing the applications that support their businesses. Fedr8 reduces the risk in legacy software applications, identifies the most appropriate cloud to move to, accelerating the application analysis by 90% whilst significantly reducing the costs by 50%.

Fedr8 solves this problem using it’s proprietary artificial intelligence engine which interrogates software at a code level allowing the code in that software to be changed to suit the major cloud companies’ cloud platforms. 50% of enterprise organizations have over 500 software applications written in multiple programming languages across their global estates. This Enterprise is Fedr8’s primary market. Fedr8 are in the business of digital transformation to enable Enterprise businesses to optimize technology advancements. Our mission is to support our customers in embracing the business benefits of the adoption of the Digital Economies through accelerated adoption of Cloud Environments.