Colare raises $2.5m to fix hardware hiring for aerospace

A pre-seed round backs simulation-based screening to address a structural talent crisis across aerospace, defence and hardtech manufacturing.

A drone propeller and exposed electric motor are mounted on a metallic testing rig with wires and a circuit board, set in a brightly lit, white laboratory with glowing data display racks in the background.

Colare, a San Francisco startup, has launched publicly with a $2.5 million pre-seed round to address one of hardtech's least glamorous but most operationally costly problems: identifying whether an engineering candidate can actually do the job before a senior engineer spends 40 hours finding out they cannot. The round was led by Afore Capital, with participation from Garage Capital and Acadian Ventures.

The company's platform runs simulation-based technical assessments spanning CAD, PCB design, thermal analysis, finite element analysis and systems problem solving. Rather than relying on résumés or structured interviews, it lets hardware teams observe candidates working through realistic engineering problems in the tools they would use on the job. The assessments evaluate both the process and the final output, with scoring rubrics informed by senior engineers who have shipped physical products.

A structural talent crisis, not a hiring-software problem

The market context matters here. Aerospace and defence funding reached $35.6 billion in the first half of 2026 alone, according to the company, driving a surge in engineering headcount demand at exactly the moment the talent pool is contracting. The US Bureau of Labor Statistics projects roughly 3,800 aerospace engineer openings a year through 2031 just to cover retirements and growth. Meanwhile, 29 percent of the existing aerospace and defence workforce is aged 55 or older, and the sector already runs at a 15 percent annual attrition rate, more than double the cross-industry average. The people best qualified to screen candidates are the same people leaving.

Compounding the structural problem is signal degradation. Colare's founders argue that traditional screening proxies, résumés, coached interview answers and polished LinkedIn profiles, are becoming less reliable as AI tools allow candidates to inflate credentials and prepare more thoroughly for behavioural questions. The harder question, whether someone can apply first-principles engineering judgement to a problem with real physical constraints, remains one that only a domain expert can assess. Colare's bet is to encode that judgement at scale.

"Hardware companies are building some of the most technically ambitious products in the world, and they are still evaluating engineers with proxies for whether someone can actually do the job," said Esther Thomas, Co-Founder and Co-CEO of Colare. "One wrong hire could mean a failed launch, a delayed mission or a lost contract."

Convergence implications: talent as a constraint on the hardtech capital cycle

For cross-sector investors, the deeper read-across here is that capital is no longer the binding constraint in aerospace, defence and advanced manufacturing. Funding has scaled. The constraint is talent throughput: the ability to hire, validate and onboard qualified engineers faster than programmes slip and contracts are lost.

This places engineering talent infrastructure in a strategically adjacent position to the deep-tech capital cycle. Sovereign wealth funds and defence-focused private equity have poured capital into space launch, satellite manufacturing, hypersonics and autonomous systems over the past three years. But the operational leverage of those investments depends on whether portfolio companies can staff up reliably. A hiring bottleneck at a launch-vehicle startup does not just delay a single product; it delays the entire programme timeline and can reprice a funding round.

Colare is currently working with clients ranging from early-stage startups to multi-billion-dollar aerospace manufacturers, with roughly half its active clients operating in aerospace and defence. One space sector customer is reportedly opening up to 50 engineering roles per month. If the platform can demonstrate consistent signal quality at that throughput, the longer-term strategic value shifts from hiring software to something closer to a credentialling layer for hardtech talent, one that sits between academic pedigree and in-role performance. That is the kind of infrastructure the next generation of sovereign-backed hardtech programmes will need if capital deployment is to translate reliably into delivered hardware.