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AI agents areall the rageright now , andTezi , an early - microscope stage inauguration , is work on one to serve HR team retrieve the perfect candidate for a problem opening . The inauguration claim this bot will sieve through resumes to find the ones that match the hiring measure , find clip on the recruiter ’s calendar to set up an interview and send out the email to the candidate .
Today the company announce a $ 9 million seeded player to avail fire its journey to generally usable product .
For now , they are roll out the alpha product with a handful of purpose client just this week , but that ’s the vision , according to chief operating officer and conscientious objector - beginner Raghavendra Prabhu . He recognize that HR has been using automatise survey screening for some time , but Tezi consider an opportunity with the new generation of large spoken language model ( LLMs ) to work up a more advanced recruiting tool for HR .
“ I think it ’s the combination of reasoning and natural language that we palpate gave us an option to make something very , very unlike from what ’s historically been done by software in this blank , ” he said .
His Centennial State - founder and COO , Jason James , says that survive tools do n’t go far enough in his scene . “ rent ’s say you get a thousand applications for a job . AI or ML or algorithmic program in the past would be good at saying these resume are very good , ” he said . “ But a homo still take to send emails and schedule interviews and all of that . And what ’s potential now is an end - to - end work flow , not just basic ranking . ”
The founders receipt that at this stage , humans need to stay busy in the process and the hope is that it will be to the full automated as models improve . What ’s more , the syndicate of candidates that emerge from any line hunt is going to be subordinate on the caliber of the command prompt and job descriptions .
While they sympathize that automation can result to bias , they are play on mitigating that to the extent possible . From their perspective , they are taking whatever inputs descend from the hiring director and assessing that against the resumes in an objective manner . They ca n’t control what the inputs look like , but they say they are trying to minimize prejudice on their destruction .
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“ If you ’re assume that there ’s prejudice come in in from the employer , we at this time are n’t blend in to be excellent at preventing that . What we will be doing on our side is protect against us add any sort of diagonal into the mix through algorithmic means , ” James say . They are forfend looking at historic lease patterns . They want the model to match by skills and other touchstone adjust by the hiring manager .
They have trained their model on 250 million profile that they have licensed from data provider and have been working with OpenAI and Anthropic models so far and tuning them to their employ requirements .
The company is just commence . It launched at the beginning of this year . They are beginning oeuvre with 15 - 20 design client , and the Leslie Townes Hope is that they will sour out all the kinks and get to a wider beta distribution later this year .
The $ 9 million seed was led by 8VC and Audacious Ventures with involvement from Liquid 2 , Afore , PrimeSet , South Park Commons and manufacture angels .
