Ultra gives every applicant the AI coach that wealthy families pay consultants $50K+ for – leveling the game that's always been rigged by money.
ENTRY ANGLES
Talent identification and development services for underestimated candidates at different life stages · University placement services focused on routing qualified candidates to institutions and employers · B2B services where companies pay to systematically source talent instead of competing on compensation
VERTICALS
CAPABILITIES
Talent assessment and evaluation methodology, Relationships with universities and employers, Understanding of what makes talent undervalued and how to demonstrate effectiveness
Ultra is going after the college admissions consulting industry – the expensive, opaque system that helps wealthy applicants get into elite universities.
As Ultra's founders put it plainly in their pitch: "the rich get the best" Admission to elite schools isn't purely a function of talent. Raw potential only becomes valuable once it's shaped and positioned – and that shaping costs money most families don't have.
Ultra's answer is a personalized college application preparation plan, built with AI, and free to use. (How it plans to monetize long-term isn't yet clear, though a product this useful tends to find a way)
The plan has several components:
- A mentor network of accomplished individuals willing to advise talented students and offer part-time work opportunities.
- A curated database of internships and competitions – the kinds of experiences that actually move the needle on selective applications.
- Connections to well-funded startups willing to bring on young talent for project work, giving students both real experience and the kind of résumé lines that admissions offices notice.
Beyond the resource base, Ultra has built something like AI twins of university admissions officers. Students can draft mock applications – incorporating their current experience alongside the experience they plan to build – and see how those applications would be evaluated by the simulated reviewers. If the reaction isn't strongly positive, the plan needs revision. The platform's AI suggests what to change and can be queried directly for strategic guidance on application approach and preparation milestones.
Ultra recently graduated from Y Combinator.
According to Forbes, democratizing access to college admissions is big business.
More than 45 million Americans submitted college or university applications in 2022 alone. About 16 million students enroll in higher education each year in the US, with roughly 3 million pursuing graduate-level programs. There are far more applicants than seats, especially at selective institutions.
The US tutoring and test prep market will exceed $8 billion in 2025; globally, it tops $200 billion. Ultra is entering a market large enough to be genuinely interesting.
High schools and their guidance departments want their graduates to succeed, and they offer supplemental programs to help. But they're overwhelmed – and paradoxically, their scarce resources tend to flow toward struggling students rather than high-achievers. The logic: ambitious, talented students will find a way; those who are falling behind won't unless someone helps them. Which means the motivated student with real potential but no financial access to private prep is left to figure it out alone.
Ultra has identified an underserved gap in this market: not lifting the bottom, but helping those who could reach the top reach it faster and further.
But the access problem doesn't end at university admission. It resurfaces at the job market. It's notoriously hard to land elite roles from a non-target school – or even from a target school, without the network that usually comes with wealth and connections.
Startups are addressing this too. UK-based Tangent ([related review](/review/sistemnoe-reshenie-bolshoj-problemy)) raised €1 million on a platform connecting underrepresented candidates with industry mentors who can help them navigate – and access openings at – their own companies.
Skillfully ([related review](/review/iz-dvuh-zol-luchshe-vybrat-tretij-variant)) raised $2.5 million on a platform that evaluates candidates based on actual job simulations rather than résumés and referrals – giving talented people from non-traditional backgrounds a fair shot based on demonstrated ability.
And Making Space ([related review](/review/nedoocenjonnye-nishi-dlja-reshenija-problemy-poka-eshhjo-est)) raised over $2 million addressing the same problem for people with disabilities – another group whose real capabilities are consistently underestimated.
Set aside the social mission for a moment and look at the same situation from a purely market perspective. Companies are currently facing a chronic shortage of skilled talent. They respond by poaching from each other – driving up compensation and accelerating churn. The only real fix is to expand the supply of qualified people entering the workforce.
Doing that requires identifying and developing untapped talent earlier – helping people get into the right universities, and then into the companies where their abilities will actually be recognized and rewarded.
The general direction: building services that surface and develop underestimated talent at different life stages.
The business model question is a real one – but companies might actually pay for this, since finding talent systematically could cost less than bidding up salaries to poach from each other. Show real effectiveness, and a revenue model tends to follow.
The questions worth sitting with: at what stage, for what type of talent, and through what mechanism? Why is that talent currently undervalued? What does the intervention look like? And how do you get universities and employers to actually pay attention?