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Startup demonstrates AI resume‑screening tool to New Brunswick City Center board
Summary
Daniel Breslauer of Breakthrough AI demonstrated Breakthrough Jobs, an AI resume‑screening product designed to surface top candidates from large applicant pools using contextual analysis rather than keyword matching; the board heard the demo and received trial access for members.
Daniel Breslauer, presenting on behalf of Breakthrough AI, showed members of the New Brunswick City Center board how his firm’s Breakthrough Jobs product screens large volumes of resumes to prioritize candidates for screening calls.
"Hiring's broken," Breslauer told the board, summarizing the company’s thesis that employers receive hundreds of resumes per posting and need tools to find top candidates quickly. He said the product uses a large language model to analyze resumes in context rather than relying solely on keywords and that names are not included in the scoring to reduce identity bias.
Breslauer walked through the workflow: users create a job entry in the platform, upload resume batches (he demonstrated batching 100 resumes at a time), set a score threshold and weighting sliders for skills, experience and education, and then review suggested screening questions tailored to each candidate’s resume and the job description. He said a 100‑resume batch can be analyzed in 8–10 minutes and described export options (CSV, JSON or text).
He also outlined pricing and access: a 14‑day or 100‑resume free trial, $50 per month per seat for basic access, and a $250 per month option for applicant‑tracking‑system integration. Breslauer encouraged board members to try the free trial and shared contact information for follow‑up.
The presentation closed with a brief Q&A about integration, model training (trained on resumes, job descriptions and survey data) and potential future features such as identity verification. The board had no formal action on the item; the presenter provided a blurb and trial access for interested members.
