Human brainpower in the age of AI

High-signal access to elite engineering capability — by builders, for builders. founders. you.

In the age of AI, every human hire counts more than ever. Teams are leaner, stakes are higher, and only elite brains can drive real impact. That's why we open our own network of elite brains — engineers, data scientists, and AI researchers we personally know, operating at the frontier of engineering, whom most companies simply cannot reach.

When every hire counts, who do you choose?

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The people in our network power the world's top tech companies

Offer

How it works

We are in direct contact with some of the smartest brains in math and engineering — they are our former work colleagues, classmates and lifelong friends.

1. A conversation

We start with a conversation about what you're building — the problems, the stage, and the kind of people who could move it forward.

2. A genuine fit

We look within our own network for people where the fit is real — not a database search, but people whose work we know first-hand.

3. Personal introductions

When the fit is right, we make a personal introduction to someone who can contribute from day one.

Personal introductions to engineers we know

Benefits

What You Gain

Discover what you gain by working with us.

Direct access

Direct access to people we know personally — former colleagues and friends now at Google, Meta and Microsoft. No job posting, no database; just relationships.

Time saver

Because we already know these people and their work, there is no sourcing and no blind vetting. Introductions arrive with real context, so your time goes to the conversation that matters.

Reach the unreachable

The best engineers ignore recruiters, filter cold messages, or are not on LinkedIn at all. Because our introductions come from real relationships, they open doors that outreach cannot.

Efficiency advantage

Personal, high-context introductions skip broad, low-signal processes entirely — raising both the speed and the quality of every conversation.

Why us?

A Rare Concentration of Engineering Talent

We are a group of alumni from the Faculty of Mathematics, Informatics and Mechanics, University of Warsaw, Poland.

Not offshoring

Research from Stanford University shows that a Bay Area team can move to Poland with performance and quality intact — and cost roughly 40% lower. This is not cheap labor; it is a deep, rigorously trained talent pool, and the economics simply follow.

Comparison of software teams across three locations
Developer team cost comparison by location

3rd Strongest country

According to HackerRank data , Poland ranks as the 3rd strongest country for developers worldwide.

Poland ranked 3rd strongest country for developers

Best in Europe

According to the official statistics of the International Collegiate Programming Contest , the University of Warsaw from Poland is the best in Europe (excluding Russia)

Worldwide expertise

According to LinkedIn data, hundreds of our colleagues, fellow UW alumni, are already working for Big Tech companies in the USA, Switzerland, Germany, UK, Israel and other countries, including Amazon, Google, Meta (Facebook), Microsoft, Nvidia, OpenAI, Jane Street and, last but not least, Snowflake.

2nd All-time top performer (IOI)

Poland is ranked as the 2nd strongest country of all time in the International Olympiad in Informatics (according to official statistics ). Additionally, Poland outperforms the United States by 6 places in the total number of medalists.

2nd place (IOAI)

Poland is ranked as the 2nd strongest country in the International Olympiad in Artificial Intelligence (2025) (according to unofficial stats ).

About us

Meet Our Team

We are Elite Brains AI.

Portrait of Lukas Czerwinski

Lukas Czerwinski

Innovative tech leader with a strong foundation in Computer Science (BSc & MSc, University of Warsaw) and over a decade of global experience, including three years in Silicon Valley. Former Googler, startup CTO, and software architect specializing in scalable products, remote team leadership, and data-driven innovation. Passionate about mentoring developers, fostering high-performing teams, and delivering cutting-edge software solutions aligned with business growth.

Portrait of Stan Findeisen

Stan Findeisen

Experienced software engineer with more than 20 years of expertise in delivering end-to-end software solutions across diverse industries and organizations of all sizes, including startups. Ex-IBM, ex-HERE, ex-Roche. Living and working in Switzerland since 2016. Holds a double degree in Computer Science and Mathematics from the University of Warsaw, Poland. USA Computing Olympiad 1999 Spring Open champion.

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FAQs

Frequently Asked Questions

Find the answers here.
About introductions and access to elite brains

Because these are people we already know, introductions typically happen within days — no sourcing, no cold outreach, no low-signal screening.

Yes. Whether you are early-stage or established, we tailor introductions to your context, constraints, and stage. The focus is always the right person for your situation, never volume.

We keep listening and make further introductions as your thinking evolves. Because this is built on relationships rather than a pipeline, we optimize for the right person over time, not one-off placements.

We do not publish fixed pricing. Each engagement fee is bespoke, set by the value and scope of the introduction rather than a headcount formula. You are paying for access to people you could not otherwise reach, not for a search.

The people we know span software engineering, data science, machine learning, AI research, UX engineering, and product-minded technical leadership — most from frontier teams and leading global organizations.

Yes. Out of respect for the people we introduce, we ask you to define a clear compensation range — salary, and equity where relevant — before any introduction is made. Their time is valuable, and being transparent about compensation upfront is a matter of respect for exceptional people, not a pricing filter.

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Let's start a conversation.

Tell us what you're building.

To start a conversation, email us at hello@elitebrains.ai with a short description of what you're building — why it's exciting, the problems you are solving, and the kind of people you would love to work with. Please include the compensation range you have in mind (salary and, where relevant, equity), along with your name and company. Sharing this upfront lets us respect our network's time and make introductions that genuinely fit.

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