Colare raises $2.5M to fix engineer screening in aerospace and defence
Colare, a San Francisco-based technical assessment startup, has launched publicly and closed a $2.5 million pre-seed round to bring simulation-based engineer screening to hardware-intensive industries including aerospace, defence, and manufacturing. The round was led by Afore Capital, with participation from Garage Capital and Acadian Ventures. Roughly half of Colare's existing clients operate in aerospace and defence, ranging from early-stage startups to multi-billion-dollar manufacturers.
The company's timing is deliberate. Aerospace and defence funding reached $35.6 billion in the first half of 2026 alone, yet the industry's hiring infrastructure has not kept pace. A single mechanical, electrical, or embedded engineering hire currently consumes around 40 hours of senior engineering time across phone screens, take-home exercises, and on-site rounds. The people qualified to assess candidates are, in effect, pulled off the work that justifies hiring in the first place.
A structural talent problem with compounding pressures
The maths behind hardware hiring are worsening on multiple fronts simultaneously. The aerospace and manufacturing sectors already carry a 15% attrition rate, more than double the broader economy. The US Bureau of Labor Statistics projects approximately 3,800 aerospace engineer openings per year through 2031, driven by both retirement-wave replacement and net growth. One Colare customer in the space sector is currently posting up to 50 new engineering roles a month. Against that backdrop, the sector's 55-and-older workforce cohort stands at 29%, meaning the senior engineers best equipped to conduct technical interviews are themselves the most likely to exit.
AI is compressing the problem from the other side. Résumés can be inflated programmatically, interview answers can be scaffolded by generative tools, and polished candidate profiles increasingly reveal less about real-world capability. Colare's platform responds by mapping a company's job description to domain-specific simulations across disciplines including CAD, PCB design, thermal analysis, finite element analysis, and embedded systems. Candidates are observed solving realistic engineering problems inside the actual tools they would use on the job, before any human interview time is committed.
"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. "Our goal is to bring Colare to take the intuition that engineers use to screen their hires and turn it into technical assessments that can be scaled across the entire candidate pool."
Cross-sector read-across: capital deployment meets talent bottleneck
The Colare launch sits at an intersection that matters well beyond the HR software market. Sovereign wealth funds, defence primes, and private equity backers have poured capital into aerospace and hardtech at record rates, but their return timelines are directly exposed to engineering talent velocity. A space company that cannot screen and onboard electrical engineers fast enough cannot ship hardware; a defence contractor that misses programme milestones risks contract clawbacks. Talent throughput, in other words, is increasingly a constraint on capital deployment efficiency across the entire hardtech investment cycle.
The broader workforce-intelligence market is attracting parallel investment, with platforms such as Codility and HackerRank serving software engineering pipelines. Hardware has historically lacked an equivalent because the skills are harder to simulate and the candidate pools are far smaller. If Colare can validate its assessment fidelity at scale, the addressable market extends naturally into energy infrastructure, semiconductor fabrication, and advanced manufacturing, all sectors currently navigating similar demographic pressures and rising technical hiring volumes. The longer-term question is whether a $2.5 million pre-seed is sufficient runway to build the assessment library depth that enterprise aerospace customers will require before embedding a third-party platform into security-sensitive hiring pipelines.