The boss of a Manchester-based data analytics and artificial intelligence firm believes it has the potential to become a tech unicorn.
Richard Potter is the chief executive of Peak, which secured 拢2.5 million in a Series A funding round led by London-based venture capital firm MMC Ventures in September.
The firm has since unveiled a new website and brand identity which places a stronger focus on its AI and machine learning offering.
In an interview with 老九品茶Cloud, Potter said the company鈥檚 ambition is to be a global technology champion in the AI and data analytics-as-a-service space.
鈥淪pecifically for what we do, we think it鈥檚 a nascent market with no other operators in this space because we鈥檙e offering a service powered by our own technology platform,” he said.
鈥淔or that reason, I think we can become a technology聽unicorn grown out of Manchester and Jaipur.
鈥淭hat鈥檚 our ambition and we think we can do it.鈥
Peak鈥檚 subscription-based service model helps companies of all sizes use data, machine learning and AI technologies to drive growth.
Launched in 2016, the company has experienced significant growth in a short period of time, securing a total of 拢3.5m in investment to date and rapidly expanding its team from 10 full-time staff to 45 in the last 12 months.
It has worked with The Economist, Morrisons and AstraZeneca, as well as SMEs and technology businesses such as Regit.
He said that the adoption of AI technologies amongst businesses is still in the early stages but that the subject is beginning to be talked about more and more.
鈥淚t feels like we鈥檙e on the cusp of something that鈥檚 really going to take off,鈥 he said.
Potter said that AI needs to be seen as an opportunity rather than a threat to existing jobs.
鈥淚n many cases it鈥檚 automation and repetitive tasks that can be taken on by AI, I think we鈥檙e a long way from a general AI capability, if ever.
鈥淲e shouldn鈥檛 be worried, we should embrace it but we need it to be coupled with a wider economic and industrial strategy which sees the development of skills in young people and re-training workers so that people can concentrate on the creative jobs, the jobs that you can鈥檛 automate.鈥


