Manual processes and repetitive tasks, outdated legacy technology, surging applicant volumes, and reduced signal from test-optional and post-affirmative-action policies.
Hiring and training, external readers each cycle is expensive ($30K–$750K per school), inefficient, and yields inconsistent results.
Universities urgently need budget cuts, yet they’re hesitant to trim the $4B+ spent on admissions staffing because it directly impacts enrollment—the main driver of institutional revenue.
Admissions as usual isn't sustainable; institutions urgently need a scalable solution that preserves revenue while cutting costs.
Argus evaluates, ranks, annotates, and prioritizes applicants exactly like your admissions team—train Argus once and scale your team for consistent, unbiased results, and actionable insights.
No new software, no workflow disruptions. Argus works precisely the way the team currently does—just faster and at unlimited scale. And teams interact with Argus via Slack & email exactly like any other remote team member.
Argus automates repetitive application evaluation, allowing your core team to focus on strategic priorities and engage meaningfully with top candidates.
Your criteria. Your workflow. Instantly scalable. Argus is the 100x hire for every admission team.
Created Edupath (#1 mobile college research app); led innovation at Udacity; deep expertise in personalized, scalable assessment innovation.
Architect of Argus’s scalable AI models; previously built large-scale data systems at Meta, SingleStore and M10 Networks.
Former CEO of ACT; global leader in AI-driven admissions and assessments; scaling advisor to Gates Foundation.
Deep AI and admissions expertise, laser-focused on scalable admissions innovation.
Universities are still reeling from COVID disruptions, the end of affirmative action, and now face unprecedented hostility from the federal government, forcing urgent budgets cuts.
Yet admissions budgets remain protected, as institutions fear jeopardizing enrollment revenue. They spend billions annually on inefficient staffing, seasonal readers, and legacy marketing, creating intense pressure for scalable cost-saving solutions.
Argus’s AI admissions workers scale admissions capacity, dramatically reduce staffing costs, and provide consistent evaluations—allowing universities to safely cut admissions spend without risking enrollment revenue.
Active partnership discussions with Georgetown, Webster, UConn, among others, validate institutional urgency for scalable, frictionless admissions solutions that create budget flexibility.
Think it’s time to bring admissions teams into the AI-era? Then let's connect!
College admissions Teams are overwhelmed, understaffed, and under pressure