Solution Engineering

Solution Engineering practice is a core capability, responsible for taking Machine Learning (ML) and data driven projects and embedding them in businesses processes systems to deliver value. Once embedded, we maintain these to ensure the value continues long term and drives on-going business value.

What We Deliver

The practice is responsible for architecting serverless solutions, building applications and integration with enterprise architectures. The projects the practice undertakes cover the full solution life cycle: from prototype, using Cloud ML services to full production deployments, using DevOps and following Cloud best practices.

How We Deliver

DevOps is essential to the full life cycle capability that we offer to our customers; it is a process and culture that allows us to quickly deliver value by taking ML and delivering it into the heart of a customer’s business. In addition, we also use DevOps to build prototypes to showcase the future potential that ML could have as a differentiator or disruptor in their market or industry


  • Secure (Security built-in from Day 0, Digital Trust enactment)
  • Accessible (doc, comments, traceable)
  • Controlled (Version and change management)
  • Re-usable (modularity, boundaries and encapsulation)
  • Efficient (performant and low costs)
  • Durable (fault tolerant and recoverable)


Cloud Migration Operations

We plan and implement migration from on-prem to any cloud platform such as AWS, Azure or GCP. These operations are generally planned and performed in 2 phases by our Solutions Architects and Engineers.

  • Lift & Shift: As-is basis on-prem system and data migration operations.
  • Modernisation: Re-develop the migrated systems by applying best practices in Security, Architecture and Engineering perspectives using the most efficient and effective cloud services.

Platform Engineering

Platform Engineering automates infrastructure management and enable developers to self-serve reliable tools and workflows from a centrally managed technology platform, enhancing developer productivity by reducing the complexity and uncertainty of modern software delivery.

  1. Building Internal Developer Platforms
  2. Standardizing and securing key delivery processes
  3. Setting and maintaining internal service level agreements
  4. Monitoring team performance metrics

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