What We Do
“…today, AI is core competency demanding c-level investment, not a nice to have…” - Forbes
We bring AI transformation to your business, precisely how you need it. When you need it.
the power of ai. personally yours.
Parallel AI has built an industry-leading real-time artificial intelligence platform that allows companies across various sectors to co-create custom AI business solutions, without the need of extensive AI expertise.
Blink of an Eye
We're fast. really fast.
Every AI decision system built by Parallel AI executes in under 100 milliseconds, irrespective of the volume of data used to make that decisions. Simply put, we are one of few companies who can achieve this level of performance, opening up solutions for algorithmic trading, proactive fault prediction, etc.
Extreme Personalisation
achieving a single view of each and every one of your customers
Our extreme personalisation capability captures the smallest of interactions a customer has with our platform and builds a comprehensive understanding of their wants and desires. With uncanny accuracy, free of human bias, we can personalise every aspect of customer engagement with your brand in real time. We're completely multi-model from outbound messaging, on-site and in-session personalisation, programmatic advertising and off-site re-targeting.
Scientific Engagement
10,000 experiments in 5 Seconds
Michael Simmons (Harvard Business Review) postulates that deliberate experimentation is more important than deliberate practice in a rapidly changing world. Our AI models do not sleep. They are online and learning constantly with each passing second and without supervision. They're learning new and innovative solutions to your business problems, around the clock in real-time, derived in scientific experimentation.
Executive Team
Parallel AI
Combined 22 years of Artificial Intelligence and Machine Learning Expertise
Chandan Rajah
Chief Executive Officer
Serial entrepreneur and part time hacker, Chandan leads the company with the grand vision of automatically converting human intent into real time decision systems. He is equal part dreamer, innovator, and deliverer. He has successfully started and exited two previous ventures. With over 20 years of experience in delivering technology transformation and running multi-million pound P&Ls, he brings with him the ability to see unique commercial opportunities and knows where and how to build the high impact teams required to capitalise on them. Chandan thrives in managing exponential growth, and has a deep understanding of how to deliver complex software development to the companies that need them the most. Chandan holds an MS in Software Engineering, an MSc in Machine Learning and Artificial Intelligence, and an MBA from London Business School.
Paul Oates
Managing Director, Commercial and Operations
Paul is an accomplished commercial leader, with over a decade of progressive managerial achievements in commercial, business development, and corporate strategy in the Energy sector. Prior to joining Parallel AI, Paul was one of the firms youngest General Manager's, and was promoted to U.S. commercial head of a $2.5 billion energy infrastructure company where he grew the terminal segment from $60MM to $200MM EBITDA over a five year period. Paul's leadership acumen is further complimented via his previous experience as a military officer. As we continue our unprecedented growth and scale up, Paul will execute our strategic, operating and commercial vision, as well as lead major negotiations with our industry partners and head up our Oil and Gas vertical.
Tamas Jambor, Ph.D.
Senior Director and Head of Artificial Intelligence
Dr. Jambor holds a Ph.D. in computer science from UCL, and an MSc with distinction in intelligent systems. He is our resident machine learning genius and translates the wildest of business intentions into high performance models. AI hacker and data scientist by trade, he was instrumental in building our core artificial intelligence capability from scratch. He has contributed strong academic research to both British Telecom and UCL, and has been the recipient of various academic grants and honors.
Ryadh Khsib
Senior Director and Head of Engineering
Ryadh compliments a Masters degree (honors) in Software Engineering and machine learning accreditation from Stanford, with over 10 years of progressive development in architecture, design, validation, development and maintenance of large-scale and complex information systems across a variety of industries. Jack of everything engineering, he posses and tackles the hardest of problems and find the most innovate of solutions to all of them. He is our resident technology ninja and all round problem solver from engineering to infrastructure.
Industry Spotlight : Fashion Retail
Real-Time Personalisation
Along with historical behaviour profiles, our platform captures every customer interaction in real-time and uses it to individualise the user experience on-screen as well as tailor communications to match each users preference. In essence, every consume would see a website or mobile application individually tailored to their preferences with personalised content.
Unique Experience
Fashion retail brands and outlets are striving to gain customers’ attention and create a unique experience for them. Brands that are able to drive engagement and create a positive customer engagement often obtain superior brand loyalty. Fashion retail stores have used various techniques to engage the customers, such as providing them with tablets to research and buy products, implementing click and collect model, and providing in-store entertainment. Apart from providing a positive experience, fashion retail stores should also focus on store interiors that enhance the overall customer journey, leading to sales.
Consumer Optionality
Consumers today have the option to choose from thousands of brands. They also have the option of using multiple channels – be it retail store, e-commerce platform, or mobile commerce. Additionally, consumers demand variety and novelty. Consumers often demand apparel they see being worn by their favorite celebrity. So, it is a challenge for brands in the fashion industry to provide a product range in a short amount of time. Such pressures can create complications in the supply chain, product development, planning, production, and fulfillment.
Inventory Intelligence
Fashion retailers and brands are forever contending with the very volatile issue of seasonality – having to ramp up inventories and then deplete them in a time-sensitive manner. There are certain things we can control and others that we can’t, like the weather. If a summer hasn’t been hot enough fashion retailers will find themselves slashing prices and diluting margins trying to get rid of stock that isn’t selling, and in parallel bringing on the apparel that wasn’t due out on the shelves until later in the season. Stock visibility, inventory intelligence, and operational agility to quickly change tack in a timely manner are necessities in today’s fashion supply chain.
Connect With Us
Ready for Parallel AI to become your trusted AI partner? We would love the opportunity to prove to you how truly powerful real-time AI is across various business domains.
info@
parallelai.com 24 Rainville Road, London, UK W6 9HA
+44 7711 060 452
