Founded in 2015, Laiye has announced plans to invest $50 million in the EMEA global region over the next three years, with existing Europe-based customers including Porsche, AstraZeneca, LVMH and Roche.
The company’s intelligent automation capabilities look to mimic human intelligence, combining the power of AI, machine learning (ML), natural language processing (NLP), optical character recognition (OCR), chatbots and robotic process automation (RPA).
These technologies automate complex decision-making based on standard business processes, and over time improve decisions as the solution learns about the business.
Key success factors behind intelligent automation
“Legacy automation solutions failed to fulfil the promises they sold to early European buyers. Many of these pioneering RPA projects were hard to integrate and have just not delivered what was promised,” said Ronen Lamdan, CEO of Laiye International.
“Intelligent automation is the real deal and it can either co-exist with, or replace, legacy RPA at low risk. Laiye can guarantee business results thanks to 500,000 developers on the platform who are innovating and developing out of the box solutions to future-proof our customers’ businesses.”
Newly appointed Laiye EMEA general manager, Parker, commented: “The legacy Big Three are well-known but have failed to deliver high impact solutions with reliable customer service.
“I am delighted to join Laiye at this exciting stage of growth and expansion, to bring a new and disruptive wave of intelligent automation to European customers.
“Laiye is proven in Asia, and early indications from UK and European businesses show that intelligent automation has a bright future here too.”
Intelligent automation overtaking RPA
Accelerated digitisation and supply chain pressures during lockdown has brought RPA up the agenda for European businesses, but while RPA reduces repetitive admin tasks, which may have otherwise been offshored, intelligent automation uses AI at its core to further refine smarter business processes.
Gartner, meanwhile, predicts that 80% of RPA-centric automation implementations will derive their value from complementary technologies by 2022, while 65% of organisations that deployed automation capabilities will introduce AI, ML, NLP and intelligent document processing (IDP).