Digital Taxonomy: Azure native data and machine learning architecture accelerates growth

Digital Taxonomy: Azure native data and machine learning architecture accelerates growth

Digital Taxonomy: Azure native data and machine learning architecture accelerates growth


Digital Taxonomy – builders of the cutting edge, AI powered CodeIt platform, a tool for tagging and categorising unstructured data.  CodeIt is used by some of the world’s leading teams and companies in order to turn unstructured text into high quality, actionable information.  The CodeIt product has grown in both popularity and complexity at an exponential rate since it was first launched in 2016.  Digital Taxonomy’s client base continues to grow, rapidly attracting a number of large blue chip enterprise clients – each bringing their own complex requirements. Due to this impressive growth, the team felt it was time to perform an Azure cloud-native architecture review of their end to end solution, with a particular eye on how to help the company meet its growth goals over the next five years.

Colibri Digital were approached to undertake this review – and provide advice, designs and implement solutions to ensure Digital Taxonomy were optimally positioned for their next phase of growth.


The Colibri Digital team worked directly with Digital Taxonomy’s CTO and leadership team to perform a rapid Cloud Native Architecture and Security Audit using our tried and tested approach.  By understanding DT’s product roadmap and anticipated growth trajectory over the next five years, a detailed assessment of the solution was conducted across the five key pillars of cloud native architecture:

  • Operational Excellence
  • Security
  • Reliability
  • Performance & Efficiency
  • Cost Optimisation

As a result of this review, Colibri Digital Experts designed and implemented a range of performance, cost and scaling optimizations including:

  • End to end infrastructure as code solution using Terraform
  • Migration of CodeIt’s Machine Learning solutions to a hosted Kubernetes platform to improve Operational Excellence and enable a range of new use cases requiring an order of magnitude increase in scaling capabilities
  • Overhaul of data strategy, including providing solutions to continue scaling DT’s primary databases as well as contributions to future advanced analytics use cases 
  • Improvements to API and versioning strategy
  • Security and encryption enhancements 


In just ten weeks Colibri Digital completed an extensive review of Digital Taxonomy’s existing Azure Cloud Solutions, with a view to enabling growth of the next five years and empowering the next generation of product features.  Upon completion of the review, the Colibri team worked with DT’s technical leadership to implement a number of high priority recommendations, including the deployment of a cutting edge Kubernetes based Machine Learning platform.

By bringing together a team of certified industry experts across Cloud, Data, and Analytics Colibri Digital has been able to ensure Digital Taxonomy’s technology, architecture and cloud strategy rest on solid foundations for the next exciting phase of growth.


Damien Gouriet – CTO, Digital Taxonomy

Working with Colibri Digital was a real pleasure and a great experience from start to finish. They were able to very quickly understand our specific requirements as well as highlight elements which could be improved.

In particular, in a second phase, Colibri Digital has been instrumental in reworking our Machine Learning infrastructure to ensure scalability, reliability and security, ensuring Digital Taxonomy is ready for its next phase of growth!

By | 2021-12-13T11:23:24+00:00 September 9th, 2020|Categories: Case Studies|0 Comments

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