JPryamid, have over 18 years of data engineering, agile, and software engineering in complex business environments.  This is an essential ingredient to your successful use of data science as your teams grapple with how to cope with a fast streaming of variable form data, with data science models that need to process, reinforce their learning from, and interact with a demanding and constant stream of data. We are supremely suited to reveal how your business will (avert the steep slope of the AI hype curve) and instead turn Machine and Deep learning into a profound transformational opportunity.

Artificial Intelligence, in particular Machine Learning and Deep Learning, are providing real business value to those organizations that have the discipline and experience of working with big data and fast data streaming.  JPyramid is working with FTSE 100 businesses and scale-outs to harness the self-learning and superior anomaly detection capabilities of AI to provide unparalleled interactions with your customers and employees.  Whether extending the life of components, embedding data science into your applications, or optimizing your product deliveries we have the teams that will ensure that your focus is on the realization of business value in agile and accelerated sprints and not a science project.  We are intent on transferring this new skill set to your workforce as we believe that business acumen coupled with AI is the best and fastest route to business differentiation.  

We have formulated a series of tried-and-tested training programmes that will take your staff from foundational data engineering to accomplished data scientist.  Our classroom has been configured to operate at our educational facilities are on-site at our clients.  This provides for the opportunity to transition our state-of-the-art AI supercomputers from a classroom environment directly into AI and Big Data Projects which helps to embed the learning surrounded by a working context.

Our expert agile teams continue to impress our clients with our ability to meet the fast pace of solution delivery required by the demands of their customers.  We are a company populated by energetic learners who embrace the new as well as safeguarding established technologies to provide cost-efficient, robust and competitor beating applications and services.

Our development teams continue to embrace and track best practices including continuous integration, continuous delivery, test driven development and the premium methods for interacting with the customer base via design thinking techniques.  We have also been thought leaders on infusing our solutions with big data and AI.

Sirius-325 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, GPUs and TPUs to provide superior on-site performance and storage capacity to meet the ever-evolving needs of our clients.

Sirius-325 Specifications

Our ‘Data Tachyon’ Platform is fast becoming the accelerator that companies are seeking to move the focus from securing resources to securing business Value.  ‘Data Tachyon’ allows companies to standardise their approach to data engineering, data scientist and data visualisation.
The complexities of ingesting numerous data files of differing formats, the training and deployment of models, the search and use of common components and the visualisation of key data and models is automated by our Platform.  Leaving your teams to focus on the commercial problems and opportunities.

JPyramid is powering Solar System Mining Industries as it concentrates on 3 core services to accelerate the establishment of mining in space and the 24 x 7 reliable service demanded to deliver a commercial and profitable business model.

Collectively we are obsessed with the use of small, medium and especially large vehicles operating in an autonomous mode for the pursuit of efficient and profitable mining in space. In sharp contrast to mining on earth, we will be operating in an environment that does not afford second chances. Whether landing on foreign objects, or ‘grabbing’ hold of objects as they float through space to the even more complex and demanding operation of building and then operating large machinery to bore and collect valuable elements and ore – we will need to get things right, the first time every time. Space does not suffer fools and mistakes, even simple ones, which will affect the commercial viability of mining missions in space. This will require mature and sophisticated intelligence at the edge driven by Artificial Intelligence and the very best of fast and big data processing.  100% reliability is a given.

JPyramid’s expertise in the application of machine and deep learning coupled with our real-world use of computer vision, robotics  will be invaluable as we begin to explore the once unimaginable activity of  mining in space. We are experimenting with the latest advances in mechanical engineering integrated with the fast paced and evolving AI techniques that seek to create robust and reliable space operations in a controlled, risk-managed environment which will be able to deliver commercially viable solutions.

This is no longer the purview of science fiction but science-fact for those at SolarSMI and JPyramid.  The offshoots of our work will also have direct applicability for more state-of-the-art mining initiatives that seek to create an autonomous landscape operating swarm sensors and populated with all sorts of autonomous vehicles and operating machines to make a dangerous and arduous working environment more reliable and error-free.  We are also pursuing experiments with nano and pico satellites to act as ‘control rooms’ to monitor and command operations on the ground.  This emerging need is drawn from the work we have done with Drones which struggle to operate at lengthy operating intervals and the risk of airborne dust and low visibility working environments.

For detailed information on Mining Operations