About Us

In 2010, JPyramid switched its entire focus to Artificial Intelligent and IOT enabled commercial solutions underpinned by over 15 years of data engineering expertise on how to leverage big and real-time data.  Initially our teams were involved in networked sensor monitoring, we have matured to mission-critical cloud based solutions incorporating edge sensors, unified communication and ever-evolving protocols.  We have grown an expertise in scalability and, robustness which address the need for solutions that are capable of coping with millions of device messages per day.

 

We have a strong focus on R&D through partnership. Our research with emerging tech, market and social trends has led to active investment in Virtual and Augmented reality for the purpose of visualisation, reporting and education/training.  SIRIUS-200, JPyramid’s proprietary engineered ‘AI in a Box’ product, allows companies to accelerate their development and deployment of AI for business benefit.  We have devised and implemented successful workflows to manage the important differences between Data Engineering and Data Science to ensure that your people are focused on delivering business benefit and not research initiatives that become shelf-ware.

 

We are finding that companies are increasingly frustrated at the length of time it takes to deploy AI enabled products and services.  Through our continued partnership with both business and leading universities we are providing an authoritative voice to deploy AI and Big Data enabled solutions.  We are at the forefront of  directing  major asset companies to visualise their assets and processes as they contend with the variability caused by mass customisation and mass production.  We maintain our technology frontier thought leadership by building relationships with startups, unicorn technology companies  and tech-leading Universities. Our work is guided and influenced by our smart data AI & Big Data framework that addresses Data Ingestion & Security; Machine Learning & AI; Lean Process Engineering; and Sophisticated Visualisations.

 

Our Mission

 

Making sense of a sensor-driven data world. We are stewards for businesses concerned with continuous improvement with a focus on the integration of big data across their business processes. We help navigate the complex maze of work variability caused by mass customisation and mass industrialisation.

 

Ability to design and build the end to end process whether on-premise, in the cloud, or across clouds – in order to run analytics algorithms and visualise the data and results.

 

Know-how to harvest and manage ‘big data’, practice machine and deep learning, reduce your compute costs by as much as 50%, and make the change happen that allows your products to self-learn and self-heal through the wisdom of data and sensors.

 

Accelerate your workforce from multiple-levels of experience to one level – expert.

Key Initiatives

Our work in IOT, Analytics and Visualisation has become the backbone of our company.

AI Supercomputer Data Engine Sirius-200

Sirius-200 is the second generation JPyramid proprietary ‘Al in a Box’ platform designed to deal with most complex Machine Learning and Deep Learning challenges for Retail, Engineering, Logistics, and Banking. The platform incorporates open source languages like Python, Java, Scala, R, and the Hadoop and Spark frameworks.  It also supports MXNet, Keras, and Tensorflow for Deep Learning tasks.   The device is a combination of CPUs and GPUs to provide superior on-site performance and storage capacity to meet the ever-evolving needs of our clients.

Sirius-200 Specifications

 

Hype surrounds Industry 4.0

We are aiding our clients to navigate the ‘hype’ promised by implementing Industry 4.0 and AI throughout the manufacturing process and right across the distribution network reaching all the way back to the customer.  Our expertise is providing the learnings needed to confidently transition to the competitive landscape of AI & Big Data-enabled products and services.

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Data Engineering processes with AI/ML

Ingest Data & Security

Ingest big data using a myriad of technologies hardened with security.

AI & Machine Learning

Apply AI & ML to orchestrate your data into business opportunities.

Lean Process Engineering

Adapt your processes via AI & ML interventions.

Sophisticated Visualisations

Get the right data to the right decision makers, stripping out cost and delay.

Curious?  We are…

Uncovering the topics that matter

We are your Data Platform & Data Engineering Partner of Choice : with extensive experience across cloud platforms.

We will speed you through setup of your platform, data ingestion and effortless visualisations. Our accelerators (Spark, AI [TensorFlow, Keras, MXNet], Azure, Azure IOT, AWS, Hortonworks or Apache Hadoop) will quickly establish your data platform and your AI & data engineering capability so you may focus on value creation by your data science and business incubator teams. And we will provide support services throughout the journey and beyond as you require.

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