Techcrunch reported recently about the launch of Candidate Labs.
Candidate Labs launched today as a modern talent agency, after operating in stealth for the past seven months. The company also announced today that it has raised $5 million in seed funding.
Candidate Labs connects a data platform with 100 million professionals to its database of 60,000 jobs. Then it creates short lists of talent recommendations that clients can then screen and interview. They are curating sales and marketing talent.
Candidate Labs leverages a big data set to get a product that is quality, not quantity. Using machine learning, Candidate Labs might extract a 25-person candidate list to help companies fill a singular role. Then a seasoned recruiter will look over the list to see the quality of the candidates, pull in personal judgement and create a final list.
Once a client sees the list, Candidate Labs will see who it chooses to interview and then digest that feedback. Over time, humans and machines will get better at recommendations.