A Scottish tech start-up has gained funding to create an AI-powered digital hiring platform to simplify staff hiring.
The GIGGED.AI tool uses conversational AI to allow employers to qualify work packages that are then defined into a statement of work (SOW).
Unique algorithms minimise geographical bias to match the most relevant on-demand talent to a specific statement of work. GIGGED.AI estimate that 90% of the statement of works will be completed remotely and that the platform can reduce onboarding time by six weeks, allowing projects to deliver faster and within budget.
Chairman of GIGGED.AI John Brodie said: “The future of work and the gig economy are hot topics right now and GIGGED.AI is an innovative product with huge growth potential.
“The product is a digital talent platform powered by AI that allows clients to create a statement of work in real time then match it to the best gig talent in the UK. The platform also offers the growing number of gig workers in the UK a great way to work on exciting digital projects.
“Innovate UK and The Data Lab have been hugely supportive of the project and we are excited to launch. This is one of the most exciting startups in Scotland with great things ahead in 2021 and beyond.”
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Commenting on the grant, Adam Turner, external funding service lead at The Data Lab, said: “As we recover from the pandemic there will be fundamental shifts in the labour market, including companies adopting global employee bases, meaning the demand for top talent will only increase.
“It’s great to see GIGGED.AI tools leveraging data and AI to make completing the often-confusing statement of work process easy and intuitive, before matching seamlessly to on-demand talent.
Earlier this year, The Data Lab launched its External Funding Service to aid Scottish based companies in their quest to unlock available grant funding.
To date, the team have supported over 65 Scottish companies in securing over £20 million in data related innovation funding. The service provides the support of an experienced funding manager to maximise the impact of applications, as well as access to data scientists, project managers and system architects to expand research and development activities.