A pioneering AI startup, Enabled Intelligence, has secured a major contract to provide data labeling services to the US Department of Defense (DoD) and the broader intelligence community. The five-year-old company attributes its remarkable success to its emphasis on accuracy, meticulous detail, and a commitment to hiring neurodivergent workers.
According to CEO Peter Kant, Enabled's workforce comprises 60% neurodivergent individuals, who bring exceptional skills in hyper-focused detail orientation and pattern recognition. This underemployed yet highly qualified workforce has proven to be a game-changer for the company, enabling it to outbid larger rivals, including Scale AI, another data labeling company.
Enabled will label aircraft for defense and intelligence applications, as well as data tied to disaster response, environmental impact, and storm impacts. The contract, worth up to $708 million over seven years, represents the largest data labeling effort by the DoD's National Geospatial-Intelligence Agency (NGA).
The startup's unique approach to hiring has been instrumental in its success. Enabled offers flexible hours, training tailored to different learning preferences, and a full-time occupational coach specializing in working with employees on the autism spectrum. The company also created pipelines to identify strong candidates through a partnership with Melwood, a nonprofit that trains people with disabilities for IT roles.
The rapid hiring wave has been a challenge for the company, but Kant expressed excitement about the opportunity to bring on new talent and start work immediately. "That was a lot of fun," he said. As Enabled gears up for years of work ahead, the company is doubling its workforce and preparing for nonstop onboarding, training sessions, ID badges, and desk setups.
The award represents a significant milestone in the development of AI-powered technologies, with the potential to support critical missions in the military and intelligence sectors. Enabled Intelligence's success highlights the importance of embracing diversity and inclusivity in the tech industry, particularly when it comes to hiring neurodivergent workers who can bring unique skills and perspectives to the table.
According to CEO Peter Kant, Enabled's workforce comprises 60% neurodivergent individuals, who bring exceptional skills in hyper-focused detail orientation and pattern recognition. This underemployed yet highly qualified workforce has proven to be a game-changer for the company, enabling it to outbid larger rivals, including Scale AI, another data labeling company.
Enabled will label aircraft for defense and intelligence applications, as well as data tied to disaster response, environmental impact, and storm impacts. The contract, worth up to $708 million over seven years, represents the largest data labeling effort by the DoD's National Geospatial-Intelligence Agency (NGA).
The startup's unique approach to hiring has been instrumental in its success. Enabled offers flexible hours, training tailored to different learning preferences, and a full-time occupational coach specializing in working with employees on the autism spectrum. The company also created pipelines to identify strong candidates through a partnership with Melwood, a nonprofit that trains people with disabilities for IT roles.
The rapid hiring wave has been a challenge for the company, but Kant expressed excitement about the opportunity to bring on new talent and start work immediately. "That was a lot of fun," he said. As Enabled gears up for years of work ahead, the company is doubling its workforce and preparing for nonstop onboarding, training sessions, ID badges, and desk setups.
The award represents a significant milestone in the development of AI-powered technologies, with the potential to support critical missions in the military and intelligence sectors. Enabled Intelligence's success highlights the importance of embracing diversity and inclusivity in the tech industry, particularly when it comes to hiring neurodivergent workers who can bring unique skills and perspectives to the table.