AI has the power to change people’s work, but it is not so easy to get a concrete value out of the AI, as a KI application throw on any workflow. It can be difficult for companies to find out which AI applications help their business and which are only a hype. Workhelix wants to solve this problem.
Workhelix is a technically capable service startup that works with companies to better understand and monitor the AI automation in their companies. Workhelix divides the employee positions of a company into certain tasks and tasks and evaluates each task for its suitability for the introduction of AI. This helps companies build roadmaps, how and where they can apply AI and gives companies the opportunity to monitor whether the AI they take over works.
Co-founder and CEO James Milin told TechCrunch that many companies do the AI adoption wrong because they want to apply AI to entire departments of their business, which is too wide to find value.
“This is not a systematic, strict way to take over generative AI and is part of the reason why people are often so disappointed,” said Milin. “But if you look at all the jobs in an organization and divide them into tasks and then rate every task for your suitability of generative AI, you can now find a really quantitative strict way to take over it.”
The Methodology of Workhelix to disassemble the tasks in tasks is based on years of research on the relationship between technology and productivity by Erik Brynjolfsson (see illustration above), the director of the Digital Economy Labs from Stanford and one of the co -founders of Workhelix.
“With many of our work there is this long history with which the machines actually don’t help that much,” said Brynjolfsson. “You need people to be involved. And then there are other tasks in which the machines are very helpful. And almost every project that we look at is some of them. “
Brynjolfsson said Techcrunch that he had examined this gap between technology and productivity for more than a decade. Before the Workhelix, Brynjolfsson divided this research and methodology about published articles or by speaker gigs in board rooms, but he realized that if they add a software element, they could reach more companies.
Brynjolfsson, also Co-Chairman of Workhelix, fit with Andrew McAfee, the co-director of the co-initiative for the digital economy and one of Brynjolfson’s co-authors; Daniel Rock, a Wharton professor; And Milin to start Workhelix in 2022.
The company started its product in April 2024 and, among other things, found a strong demand from corporate customers such as Accenture, Wayfair and Coursera. Workhelix ‘first dozen corporate customers came through the door with zero paid advertising, said Milin.
“This is something you are really hungry for,” said Brynjolfsson. “You have never seen anything like this. There are consultants out there, but they don’t have such tools. We fill a big gap. I think the biggest gap that is on the market. “
The company recently collected a round of the series, which was involved in Aix Ventures with the participation of the AI fund of Andrew NG, Accenture Ventures and Bloomberg Beta, among others. It was also financed by a number of fishing investors, including Reid Hoffman, co-founder of LinkedIn, Mira Murati, co-founder of Openaai, and Jeff Dean, chief scientist at Google Deepmind and Google Research.
Shaun Johnson, founding partner at Aix Ventures, said Techcrunch that he was introduced to the company through Brynjolfson’s work in Stanford. One of Aix Ventures Investing Partners, Christopher Manning, is the director of the Labor for Artificial Intelligence at Stanford. Johnson said he understood that the pain point -work helix tried to solve immediately.
“Erik, Andy and Daniel have an astonishing access to the Fortune 500 C suite and customers,” said Johnson. “It is extreme start -up market adjustments and your approach is extreme start -up product adjustments. That made us want to dive. “
Workhelix plans to hire its recently increased capital for expanding the number of tasks and the KPIs of its software tracks. In addition, the internal tools for data scientists are set up that help customers directly with the product of Workhelix.
On today’s market, which is obsessed with fasting and automation, it is interesting that the business model of Workhelix not only contains software but also a human element. The company stands by this approach, although this makes it more difficult to scalate. This is because the company would not be so effective if it were just another software platform, said Milin.
“I think there is a chance of trillion dollars to create value,” said Brynjolfsson. “Not that we will grasp all or even most of it, but we want to unlock it. As James previously said, this is the greatest technological revolution that has ever happened, and very few people think about unlocking the business side. “
