Built on both sides of hiring.
CurriculoATS is an AI-native applicant tracking system built to reduce screening time, increase signal clarity, and improve hiring accuracy. Unlike conventional ATS platforms that rely on keyword matching, CurriculoATS evaluates candidates based on measurable impact and real outcomes, helping hiring teams identify the people who actually matter.
Founded by Dev, ex-Amazon ML engineer — with advisory from Dr. Ankur Mali (USF Computer Science) and Darryl Swann. A team of 10 across 5 countries.
Fix hiring from both sides.
The hiring process is broken. 75% of resumes never reach a human reviewer, filtered out by keyword-matching algorithms that confuse formatting with competence. On the other side, employers waste weeks screening candidates who look impressive on paper but lack real, measurable impact. The result is a system that fails everyone.
Curriculo was founded on a simple insight: if you can help candidates write clearer resumes AND help employers evaluate them with better AI, you fix the entire pipeline — not just one side of it. Most tools address one half of the equation. We decided to address both.
That's why we built both a resume builder (Curriculo) and an applicant tracking system (CurriculoATS). When candidates use our resume builder, they learn to quantify their impact — turning vague bullet points into measurable outcomes. When employers use our ATS, they evaluate that impact with signal-based AI that goes beyond keywords. Both sides improve, and the entire hiring pipeline gets smarter.
People behind the platform.
Ex-Amazon ML engineer specializing in NLP, recommendation systems, and large-scale data infrastructure. Built Curriculo to apply machine learning to the hiring pipeline after seeing firsthand how broken ATS systems were at screening real talent.
Assistant Professor of Computer Science at University of South Florida. Provides research guidance on NLP architectures and evaluation methodologies that power CurriculoATS's signal-based ranking.
Brings go-to-market expertise and hiring industry knowledge. Advises on product positioning, enterprise sales strategy, and market expansion.
Plus a team of 10 across 5 countries — engineering, design, data science, and customer success.
What drives every decision.
We built our AI to find real signal in candidate data, not pattern-match keywords. Every product decision asks: does this increase hiring signal or add noise?
Hiring isn't zero-sum. When candidates present themselves clearly and employers evaluate fairly, both sides get better outcomes.
Enterprise ATS platforms charge enterprise prices and ship enterprise complexity. We build for teams of 5–200 who need speed, clarity, and a free plan to start.
No per-seat pricing tricks. No hidden fees. No black-box AI. We show you exactly how candidates are scored and why.
From idea to 10,000+ users.
Founded in Brooklyn, NY. First version of Curriculo resume builder launched.
Reached 5,000 users on the resume platform. Started building ATS.
CurriculoATS beta launched with signal-based ranking.
Public launch of CurriculoATS. 10,000+ professionals on the platform, 250+ hiring teams onboarded.
Expanding candidate network, enterprise features, and API ecosystem.
Startups that switched to smarter screening.
Hear from founders and hiring managers who replaced manual resume reviews with signal-based AI.
"We were spending almost two full days just sorting through resumes every time we posted a role. CurriculoATS cut that down to about 20 minutes. The signal-based ranking actually surfaces people who've done the work, not just people who keyword-stuffed their resume."
"What sold me was the Candidate Network. We're a remote team and sourcing is our biggest bottleneck. Being able to see candidates whose resumes are already structured and scored before we even post a job? That's a completely different workflow. We've cut our time-to-hire from 38 days to under three weeks."
"I looked at Greenhouse and Lever but honestly, for a 15-person startup, both felt like overkill. CurriculoATS has everything we actually need without the enterprise complexity. The free plan let us test it with real candidates before we committed. We upgraded to Pro in the second week."
