The Skilled Trades Hiring Gap Job Boards Were Never Built to Close

01 /The Concept

Factories and manufacturing plants have a problem that general job boards can't solve: finding workers with specific certifications and experience fast. Laborup was built for exactly that gap – filling skilled roles in days, not months.

Important distinction: this isn't about bulk hiring of general laborers. It's about filling roles where finding someone with the right experience and certifications is genuinely hard.

Laborup's recruiters work alongside a proprietary AI engine to source candidates. The platform handles every stage of initial screening and delivers employers a shortlist of candidates who fully meet the job requirements – so hiring managers only have to make the final call.

The platform's core is an AI that conducts voice interviews with candidates, verifying their skills, experience, and certifications in the process.

Beyond qualifications, the AI also surfaces the friction points pushing workers to look for something better – inconvenient shift schedules, long commutes, poor working conditions, a management style that grates on them. It uses this data to match candidates not just on skills but on life fit.

After placement, the AI tracks how well the match held up over the first 90 days – for instance, whether the employee stayed or was let go. This feedback loop continuously sharpens the matching algorithm.

Laborup launched in pilot mode in Knoxville, East Tennessee – a metro area of 48,000 industrial workers anchored by several large manufacturing plants. Within three months, one in five local workers had become an active platform user.

The platform now has more than 25,000 registered workers from the East Tennessee area. Employers report hiring workers 5–10x faster than before, at roughly 50% of what they used to pay staffing agencies.

Those results landed Laborup a new $5.8M round, adding to the $1.9M it raised last spring to build the platform.

02 /Why It Matters

As the president of one client company put it: "Laborup doesn't just find workers – it finds the right workers" – people who match both the job requirements and the company culture.

But Laborup also works from the other direction: finding the right job for each candidate, not just by skills but by life criteria like shift flexibility, commute time, and workplace environment.

The same philosophy powers Mercor ([related review](/review/a-ty-jetu-ofigennuju-vozmozhnost-mozhesh-razgljadet)) – which applied an identical approach and similar AI methods to build a job marketplace for software engineers rather than factory workers. Founded just 2.5 years ago, Mercor raised $100M in February at a $2B valuation, up from a $250M valuation just six months earlier. Over that same period, monthly revenue growth hit 50%, pushing the startup toward a $75M ARR run rate at the start of this year.

The key driver: Mercor's AI is built not just to match candidates to roles but to predict a candidate's future performance in a specific position at a specific company. That requires understanding not just skills and job specs – but candidate goals, personal circumstances, and company culture. Laborup is pursuing the same goal in manufacturing – and on the manufacturing side, the situation is particularly dire.

Laborup's founders conducted hundreds of interviews with plant managers across companies ranging from Fortune 100 manufacturers to small machine shops. Every single one had the same problem: where do we find skilled workers? When a problem shows up at every company regardless of size, it's systemic – and systemic problems call for systemic solutions.

The scale is significant. According to Deloitte research, between 2024 and 2033, the US manufacturing sector will generate 3.8 million job openings – nearly half of which could go unfilled if the skilled worker shortage isn't addressed.

And that number is likely to grow. Reshoring initiatives and broad import tariffs are pushing companies to expand domestic production capacity. But you can't scale output without people who know how to operate the equipment.

The problem is acute enough that even relatively simple solutions get traction. FactoryFix ([related review](/review/rabochaja-karera)) – essentially a well-executed job marketplace for manufacturing roles – raised $19.8M in investment, nearly half of which came in after that review was published.

03 /Opportunities

The most systemic fix to the skilled worker shortage would be a cultural shift toward young people choosing trades as a career path. That's a policy conversation, not a startup conversation.

So what can startups actually do?

One direction: platforms that reduce worker turnover. The higher the churn, the greater the constant demand for new hires. In essence, Laborup and Mercor – in their respective sectors – are retention platforms as much as recruiting platforms. By making the match between job and candidate as good as possible on both dimensions, they maximize the odds that the worker sticks around.

A second direction: platforms that lower the skill bar for getting hired. Expand the candidate pool by making it possible to do the job with less prior experience – and fill more roles.

This is where AI is enabling a new category. The most recent example: Squint ([related review](/review/zdes-u-tebja-100-shansov-pobedit-glavnogo-konkurenta)), which built an app that lets "any worker become an expert." Point your phone's camera at a piece of equipment and get instant step-by-step video instructions for the task or repair you need to perform – spelled out at a level anyone can follow. Squint just raised $40M. DeepHow ([related review](/review/63-milliarda-dollarov-na-700-millionov-uchenikov)) built a similar product and raised $37.1M.

Manufacturing is a massive market with massive unsolved problems – and it attracts a surprisingly small number of tech startups. As Squint's founder puts it: "For some reason, this industry has been forgotten by most technology players. If you tried to get a dinner together with Silicon Valley founders working on industrial manufacturing problems, you'd barely fill a table"

So if you want a large, financially serious space with relatively few competitors – manufacturing is it. The startups mentioned here make excellent templates.

And if manufacturing genuinely isn't your thing, Laborup and Mercor still demonstrate what modern job platforms should look like: AI-powered systems that find the right fit for both sides of the equation, not just the closest keyword match.

The technology to build this is mature. The window is open.