Certified Data and Cloud Practitioners

We are a team of certified Data Scientists, Data Engineers and ML Engineers across Google Cloud, Databricks and AWS.

We are highly experienced in building scalable cloud solutions - using technology such as Kubernetes, Dataflow, Spark and API deployment - to create end-to-end data and modelling solutions for our clients.

Some of our offerings include personalised product and content recommendation engines, next best action decision engine, and closed-loop measurement across digital and offline channels.


To be the global leader in scalable and innovative AI solutions and services.


Using data to help our clients to create the best experiences for their customers and access reliable insights and analytics.


customer first

Our success is intertwined with our customers'

team growth

We support our team to be the best with training, flexibility, and diversity

stay innovative

We stay at the cutting edge of technology through innovation

A trusted partner of

Google Cloud

why google cloud

Next-gen cloud solution

Our history with Google Cloud goes back many years, and together with our partnership, we can help our clients innovate and accelerate their cloud journeys.

  • Leading capability in data and analytics
  • Flexibility with open source, hybrid and multi-cloud solutions
  • Carbon-neutral and progressing to carbon-free by 2030
  • Trusted infrastructure and encryption by default to protect customer's data
  • Clean and modern experience, designed for easily deploying cloud services at hyper-scale
  • Custom industry solutions across Retail, financial services, manufacturing, media, entertainment and telco, public sector, and healthcare

Our offerings

services for retail


Our personalisation and attribution services are the simplest way to supercharge your customer experience and create a data-driven organisation.

Bespoke consulting services


We provide bespoke advisory and consultancy services from standalone use cases to organisational-wide data transformation journeys.

Pioneers in AI & data


AI and data is a constantly evolving field and we stay on the frontier by hiring the best talents and promoting innovations and R&D internally.
Our services are backed by many cutting-edge algorithms.



We partner with numerous vendors to provide a comprehensive and compelling offering to our clients. From cloud technology to third party data, we want you to have the best of all worlds.

Our technology

We work with leading technology and cloud partners to deliver highly advanced and scalable solutions to our clients

Google cloud

Google Cloud cuts through complexity and offers solutions across storage, analytics, big data, machine learning, and application development.

We are a Partner on Google Cloud and can you provide you with the right training and resources so you can get started with greater confidence. Take advantage of the same globally scaled platform that powers services like Youtube, Google Map and Google Search.

Amazon web services

Amazon Web Services (AWS) offers over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

Logickube has experienced AWS cloud engineers that can help you get started on infrastructure technologies like compute, storage, and databases, through to emerging technologies like machine learning, infrastructure as code and Internet of Things.


Kubernetes is an open source system for automating the deployment, scaling, and management of containerized applications.

Logickube is an expert on building ML applications on Kubernetes, taking advantage of distributed training, scoring, and hyperparameter tuning in a cost efficient manner to build petabyte-scale models for a wide range of industries.


Originally created by the Google Brain team, TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications.

We leverage Tensorflow to build large scale recommendation, image recognition, and text mining models. These models can be deployed to Edge Devices or Websites with extensions such as Tensorflow Serving, TFLite or TFJS.


Apache Spark is a unified analytics engine for large-scale data processing. It achieves high performance using a state-of-the-art DAG scheduler, a query optimizer, and a physical execution engine.

Combining SQL, streaming, and complex analytics, it can run on Kubernetes clusters in the Cloud for scalable and cost effective data heavy workloads.