Join the Torre investment waitlist.

Torre.ai is automating recruitment and job hunting with AI, and building a global job network. Join the founder, a Shark on Shark Tank Colombia & Mexico, who has invested $11M of his own money, and 50+ strategic investors.

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Company presentation and figures as of August 2026.

40K48K59K72K81K AI-screeninginterviews AprMayJunJulAug
0new professionals
0candidates on Torre
0companies use Torre
0raised to date
0from the founder
Founded by Alexander Torrenegra, recognized by
Shark Tank MIT Technology Review Innovators Under 35 World Economic Forum Endeavor
Strategic investors

Backed by people who’ve built industry giants.

Over 50 global investors have put $22M into Torre.

Edrizio de la CruzEdrizio de la Cruz

Former Y Combinator partner · Founder of Arcus (acquired by Mastercard)

Kass LazerowMike Lazerow
Kass & Mike Lazerow

Co-founders of Buddy Media (acquired by Salesforce for $689M) · Founders of Velvet Sea Capital

Brian RequarthBrian Requarth

Founder of VivaReal (acquired by Naspers for $550M) · Founder of Latitud Ventures

Rodrigo SchmidtRodrigo Schmidt

Fmr. Head of Engineering at Meta and Instagram · PhD, Computer Science

Mike ShoemakerMike Shoemaker

Former head of Uber in Latin America · Managed 500K+ Uber drivers

Companies where our investors built their careers
Y Combinator Meta Salesforce Instagram Uber Mastercard

The testimonials presented are the opinions of the individuals providing them. They may not represent the experience of all clients or investors and are not a guarantee of future performance or success. No compensation was provided for these testimonials unless explicitly stated.

Why they invested

In their own words.

I invested in Torre because it’s an amazing tool that we actually use. We don’t have external recruiters. All we use is Torre now. Investing was a no-brainer for me.
Edrizio de la CruzInvestor in Torre · Former Y Combinator partner · Founder of Arcus (acq. by Mastercard)
Y CombinatorMastercard
Edrizio de la Cruz
Torre.ai is building the essential infrastructure for the future of work. They’ve created a powerful network effect that is scaling rapidly.
Rodrigo SchmidtInvestor in Torre · Fmr. Head of Engineering at Meta and Instagram
MetaInstagram
Rodrigo Schmidt
Torre is going after one of the biggest opportunities globally: recruitment. At the center of it is AI. Join us as we build this incredible business and transform one of the most important sectors of the economy.
Brian RequarthInvestor in Torre · Founder of VivaReal (acquired by Naspers for $550M)
VivaRealNASPERS
Brian Requarth

The testimonials presented are the opinions of the individuals providing them. They may not represent the experience of all clients or investors and are not a guarantee of future performance or success. No compensation was provided for these testimonials unless explicitly stated.

The market

It’s a $690 billion market.

A market that has already produced many $1B+ businesses, and it’s still fragmented across 4,000+ job boards and 72,000 staffing companies.

4K+job boards
72K+staffing firms
1.6Bvacancies per year
LinkedIn$17Byearly revenue
Workday$8.5Byearly revenue
Indeed$4.8Byearly revenue

Comparisons to other companies are for informational purposes only and are not a guarantee of future results.

Sources: Mordor Intelligence, Recruiting Market report ($690B/y market size) and RecruitBPM, How many recruiting firms are there globally (72K+ staffing firms), and Statista, Monthly job hires and separations in the United States (1.6B vacancies per year, extrapolated to the global population of 8.1b).

Not even LinkedIn has engaged most humans of working age. By far. Torre is heading there.

5.26 billion people are of working age. The biggest job platforms reach a fraction of them. The global job network is still up for grabs.

Sources: Meta (Facebook): DemandSage, Business of Apps · Indeed: Sci-Tech Today · LinkedIn: DemandSage · Glassdoor: Expanded Ramblings · Computrabajo: extrapolation from Similarweb traffic and other sources · LinkedIn penetration: Talent Intelligence Collective

5.26b humans of working age
3.1b Meta monthly active users (MAU)
330m Indeed MAU
310m LinkedIn MAU
63m Glassdoor MAU
10m Computrabajo MAU

LinkedIn market penetration.

Darker = higher penetration. Most of the world is still barely reached.

World map of LinkedIn market penetration by country

Source: Talent Intelligence Collective: LinkedIn’s penetration rate by country

The problem

Work is broken on both sides.

Recruitment hasn’t kept up with the way the world actually works. Four problems compound each other:

Problem #1

Job hunting is stressful.

0%

of job seekers reported negative impacts on their mental health1

Problem #2

Recruitment is slow, inaccurate and costly.

0%

of recruiters report trouble recruiting2

Problem #3

Traditional recruitment is no match for the new full-time + flexible workforce.

0%

of US adults earn money from gig work3

Problem #4

Recruiters use AI to spam and filter; candidates use AI to mass-apply.

AIs spamming AIs

Millions of chickens 🐔 with their heads cut off: inefficiency, waste, and exclusion.

Sources: 1. Resume Genius, Job Search Statistics  2. Statista, Monthly job hires and separations in the United States, extrapolated to the global population of 8.1b  3. TransUnion, gig-work income research

The solution is Torre.ai

We’re automating recruitment and job hunting with AI.

Not another job board. An AI talent agent that works for every professional and every company, evaluating every person for every job in real time.

Torre is the AI talent agent for millions of professionals.

Candidates chat with Emma, Torre’s AI, the same way they’d text a friend: on WhatsApp, on the web, in the app. Emma applies for them, pre-screens them, and gives every applicant actionable feedback.

Companies get a recruitment operating system that screens, ranks, follows up, and matches candidates to teams, automatically.

Available on WhatsApp Web Android iOS API MCP
Torre chat, app and web interfaces
AI agents connect to Torre via API and MCP

AI agents summon a human workforce through Torre’s API + MCP.

Traditional job boards and professional social networks are legacy products that block AI agents. Torre is AI-native: it offers APIs and MCPs for agentic automation, so the assistants people already use can hire, and get hired, through Torre.

Determining whether a candidate matches a job takes Torre about 100 milliseconds, versus minutes of back-and-forth between two negotiating AI agents.

Others
Torre
Others use AI to shred candidates automatically
Torre uses AI to develop close relationships
With others, applications go into a black hole
With Torre, every applicant gets actionable feedback
Traditional job boards and professional social networks are legacy products that block AI agents
Torre is AI-native: APIs and MCPs for agentic automation

These comparisons reflect our own observations from our extensive experience in the recruitment market and are for informational purposes only.

The team

The perfect pedigree to go beyond the US.

Alexander Torrenegra on the Shark Tank set
Image © Sony Pictures Television · Shark Tank Colombia
View Shark Tank videos Read letter by Alexander

Founded by Alexander Torrenegra.

  • Tech ‘Shark’ in Shark Tank Colombia & Mexico
  • Bootstrapped Voice123 to $200M+ GMV (sold to PE)
  • MIT Innovator Under 35
  • World Economic Forum’s Young Global Leader
  • Endeavor Entrepreneur
  • Invested $11M of his own money in Torre
Juan Domínguez
Juan DomínguezHead of Growth

3x tech founder with vast experience in two-sided marketplaces. Systems Engineer and Industrial Engineer turned growth hacker.

Renan Peixoto
Renan PeixotoHead of Engineering

10+ years leading global tech and AI teams. B.Sc. in Computer Science and Software Engineering with multiple published papers.

Catalina Morales
Catalina MoralesHead of Operations

Industrial Engineer. Joined Torre’s operations team as an apprentice and now leads it.

Traction · August 2026

Through August 2026, Torre.ai grew 43% quarter over quarter†, with acquisition costs trending down to $0.

Growth is driven by retention and word of mouth: native virality, network effects, reputation loops, and data loops are kicking in.

New companies joining

334291379437450431540628JFMAMJJA

AI-screening interviews

37K37K40K40K48K59K72K81KJFMAMJJA

Candidate/company matches†

8K9K9K11K13K19K21K23KJFMAMJJA

† Average of the compounded quarter-over-quarter growth rates of the three metrics above — new companies joining, AI-screening interviews and candidate/company matches — January–August 2026: each metric’s growth over the period, expressed as the equivalent rate per quarter (seven months is 2⅓ quarters), then averaged. A candidate/company match is defined in the disclosures below.

↘

Our own costs are trending down to $0. Company acquisition cost per user has fallen from $325 to nearly zero, and AI agent interaction cost has dropped over 80%. Margins improve as the network grows.

Adoption

Used by 2,000+ companies, adding more every day.

From solo founders to global enterprises like Publicis Groupe and Cornershop by Uber, companies use Torre to fill roles across engineering, sales, marketing, operations, and beyond.

Logos of 2,000+ companies using Torre
Used by
2,000+
companies
Network activity

Explore Torre’s network.

Explore activity on Torre’s network.

Roadmap

From remote jobs to THE global job network.

Torre grows from remote to local, and will expand from West to East.

✓
Done

Build AI that automates recruitment and job hunting

1M+ candidates, 2K+ companies, and a matching engine that evaluates a candidate for a job in about 100 milliseconds.

⋯
In progress

Become the global network of remote jobs

The bar: constant 10% week-over-week growth in network interactions, until word of mouth compounds on its own.

⋯
Next

Grow the revenue engines that fund the mission

As the network grows, it’s now time to scale monetization using the strategy below.

Then

Expand into local jobs

City by city, community by community: the subtorre strategy below, run hundreds of times.

The end goal

Become THE global job network: real-time liquidity of jobs and candidates

We are building for a billion professionals and 100 million hires a year.

Revenue roadmap

Next: monetize the network.

Torre’s monetization model is freemium to avoid slowing down network effects. Free for companies and professionals, with premium offerings that give them superpowers:

Companies

Recruit better, faster
  • Torre Reach: additional applicants for job posts Validated and ready to scale1,000+ paid pilots!
  • Torre Headhunt: recruit passive candidates Just launched
  • Torre OS: automation tools Being validated
  • Background checks Coming soon
  • Staffing and payroll services Coming soon

Job seekers

Get hired, get ahead
  • Torre Pro: priority access to jobs Just launched
  • Referrals to educational offerings Coming soon
  • Advertising Coming soon
  • Talent-agent commissions: like athletes and artists Planned

Governments

See further, plan better
  • Torre Observatory: labor-market stats Coming soon
  • Subtorres: job networks for their citizens Coming soon

This August 2026 presentation contains forward-looking statements about revenue, products marked “coming soon,” market opportunity and business plans. They can be identified by words such as “anticipate,” “expect,” “plan,” “believe,” “will,” “may” and similar expressions, and they reflect management’s expectations and assumptions at that time. They are subject to known and unknown risks, uncertainties and other factors, including those described in the Risk Factors of our Form C, that could cause actual results to differ materially from those expressed or implied. Past performance is not indicative of future results. We undertake no obligation to update any forward-looking statement, except as required by law.

Torre grows from remote to local.

Concentric rings: remote jobs expanding into hybrid and local jobs

…and will expand from West to East.

World map shifting from dark green in the West to bright lime in the East
Growth strategy

Subtorres will be to Torre as subreddits are to Reddit.

Job networks for communities. Targeting hundreds of collaborations within the next year. Then, tens of thousands.

01
University subtorresEvery campus, its own job network
02
City subtorresLocal jobs, city by city
03
Influencer subtorresAudiences become talent pools
04
TV network subtorresMass reach, mass hiring
05
Online-group subtorresCommunities that hire together
Defensibility

Three compounding moats.

🕸️

Network effects

More companies bring more candidates. More candidates bring more companies. Value compounds on both sides, and Torre’s freemium model doesn’t slow it down.

⭐

Reputation loops

Better reputation attracts better candidates and better jobs, which builds more reputation. References, reviews, and professional genomes keep compounding.

🔁

Data loops

More usage creates more data. More data creates better matches. Better matches drive more usage. 100+ matching factors and 9 types of applied AI get smarter every day.

The result

AI-resilient

As AI changes the workforce, it helps us: as technology forces people to switch jobs and careers more often, Torre becomes the essential bridge for that transition into the human-touch economy.

Recession-resilient

Torre makes money whether the economy is good or bad, because it doesn’t rely on just one side of the market. Booming economy: companies pay. Slow economy: job seekers do.

Competition

A serious head start and a competitive advantage.

CapabilityTorreAI-interview toolsATSsTraditional job boardsProfessional social networks
Network effects
Monetization that doesn’t slow network effects
AI-native
Replaces recruiters
Open ecosystem
Professional genomes instead of résumés
Candidate-to-team matching
Automated cultural-fit scoring
Remote, full-time, and gig-friendly

Swipe to compare

These comparisons reflect our own observations from our extensive experience in the recruitment market and are for informational purposes only.

What users say

Loved on both sides of the table.

Sofi Palazzo
Best recruitment processes I've ever had.
Sofi PalazzoCandidate hired through Torre
Mato Varo
Quite easy, intuitive, and enjoyable.
Mato VaroCandidate on Torre
Mireyal Meciga
You treat people with care. It feels personalized.
Mireyal MecigaCandidate on Torre
Other platforms just send me resumes, but Torre does the work for me.
Effective candidate follow up that we simply can’t do.
10 great senior iOS devs in just two weeks. Not an easy feat!

The testimonials presented are the opinions of the individuals providing them. They may not represent the experience of all clients or investors and are not a guarantee of future performance or success. No compensation was provided for these testimonials unless explicitly stated.

A letter from the founder · August 2026

Considering Torre? Read this first.

Dear prospective investor,

If you are considering investing in Torre, I want to be direct with you: an investment in Torre is likely to have a binary outcome. It could produce significant returns or lose its value entirely. It is unlikely to be much in between.

You might reasonably assume that being a Shark on Shark Tank and having built successful companies of my own, tilts the odds in my favor. It does. A founder with that track record is more likely to build a successful startup than someone attempting it for the first time. But I want to be clear-eyed with you: Torre is not your average startup. It is far more ambitious and far harder than most, for reasons I will explain. My experience improves our chances. It does not guarantee them.

I say this not to discourage you, but because you deserve the truth. I have been an investor for many years. Some of my investments happened in the public eye through Shark Tank; many more I have made directly and indirectly, outside of that platform and away from the cameras. Across all of them, the pattern is the same: the vast majority do not return their investors’ money. Even businesses that go on to become genuinely successful rarely deliver a meaningful financial return. Only a small minority produces the kind of outsized outcomes that make this kind of investing worthwhile.

Yet despite having a diversified portfolio built over many years, I have chosen to concentrate my time, my energy, and a significant portion of my personal wealth into building Torre. Why would I abandon diversification for a single bet?

Because even though the odds of success are low, the potential outcomes, if we succeed, could be outsized in ways that matter to me far beyond financial returns.

On risks and returns

Network effect businesses are extraordinarily difficult to launch. They require sustained investment, relentless execution, and often years of struggle before they reach critical mass. Torre operates in a market with very strong, well-resourced competitors, and it will take a great deal of capital and a great many believers to break through. Even with unlimited resources, we might not succeed. But once a network effect business does take off, it becomes very difficult to displace. The defensibility is remarkable, and the returns, if they materialize, can be transformative. I know this firsthand, because I have built two successful businesses of exactly this kind. Their financial success is what allowed me to become an investor in the first place.

What makes Torre different in scale is the size of the prize. We are not building a niche product; we are aiming to become the largest job network that has ever existed, addressing a total market of roughly $690 billion per year.3 A target that large changes the math. If we succeed, the outcome could be very large, precisely because the opportunity is so large and so defensible once won. That potential is inseparable from the risk. The same ambition that makes the upside enormous is what makes the odds long. This is a higher-risk, higher-reward proposition than most, and I want you to see both sides of it clearly. Nothing I say here is a prediction of returns; most startups fail, and you could lose everything you invest.

On social impact

In Silicon Valley and around the world, I have watched tens of thousands of brilliant minds pour their talent into extracting value rather than creating value. Consider one example: they optimize which advertisement you see next on your feed, while the technology to give job applicants real feedback, rather than letting their applications vanish into a black hole, already exists but has never been built at scale. At Torre, we are using artificial intelligence not simply to replace people’s work, but to help people find work that better realizes their potential and maximizes the fulfillment they get from their careers.

This is also where my deepest personal conviction lives. Our company is named after my grandmother, María Emma Torrenegra, a brilliant and determined woman who was boxed out of the careers she deserved by the discrimination of her era. Her only options were homemaker or secretary, and I still think often about who else she might have become. She is the reason discrimination is the enemy Torre exists to defeat. Her full story is worth reading: María Emma’s story.

Discrimination in hiring is not only unjust; it is a waste of human potential on an enormous scale, and it is a problem AI is unusually well-suited to help solve. Humans are prone to subconscious bias, and roughly half of hiring managers admit to it.1 AI can be designed to avoid those instincts. At Torre, during pre-screening, our system is designed to put every professional on equal footing: name, gender, race, and age are ignored, and people are matched on merit and fit rather than on the accidents of who they are. The evidence for this approach is compelling; in a landmark study of blind orchestra auditions, the likelihood of women being advanced rose by 25 to 46 percent.2 Used this way, AI can make recruitment not only more accurate, but more human and more fair. You can read more about how we do it here: more accurate recruitment.

I’m deeply committed

I am pushing hard to make Torre successful. I bring my skills, my connections, my capital, and my energy to this mission.

But a mission this large is not won alone. We already have more than a million users and many passionate fans helping us grow, along with investors who have real skin in the game. Every day, we get messages from our users thanking us for the positive impact Torre has had on their lives. Yet, the next chapter calls for even more believers: people who choose to stand with us and take this on together. Building a network effect business at a global scale requires not just capital, but conviction.

More believers, combined with excellent execution, will not guarantee our success. Nothing can. But it meaningfully improves our odds.

Considering an investment

If this mission matters to you, you can join the waitlist to register your interest in Torre. We are working toward a future where work is more meaningful, where discrimination is fought at scale, and where artificial intelligence serves humanity.

When considering any investment, only consider an amount you could afford to lose entirely. Joining this waitlist records your interest and does not commit you to investing.

Join the waitlist if you would like to register your interest.

With conviction,
Alexander Torrenegra
Founder @ Torre.ai
Notes
  1. In a widely cited compilation of hiring research, 48% of HR managers acknowledged that bias affects which candidates they choose (Zippia, “Hiring Bias Statistics”).
  2. The 25 to 46 percent range comes from Claudia Goldin and Cecilia Rouse’s landmark study of blind orchestra auditions (Princeton and Harvard, 2000).
  3. Mordor Intelligence, Recruiting Market report.

Meet the real Emma, the inspiration behind our name and icon.