About · Editorial statement21 April 2026

Built by people who did the deals.

Not a textbook company. Not a test-prep company. Two PE professionals who spent over a decade making real investment decisions — and got tired of watching talented people wash out at the interview stage because they'd never actually made one.

The founders

Founder · 01

Portfolio Strategy & Data

Mid-market PE — co-investments, secondaries, fund-of-funds

Eleven years across private equity portfolio management, banking operations, digital assets, and AI-enabled data systems. Managed risk and re-valuations on a multi-billion pound co-invest and primary fund portfolio. Modelled cash-flow scenarios for GP-led secondary transactions. Advised investment committees on vehicle allocation, follow-on reserves, credit lines, deployment pacing, and co-investment yield. Produced macro strategy memos on Covid-19, inflation cycles, tariff shocks, and the sub-asset class landscape.

Before PE: Deutsche Bank regulatory investigations — selected for a specialist quant team running analysis across millions of trades per day. Built the credit data and lead-scoring engines at a special situations fund. Founded an algorithmic digital asset trading platform with Sharpe above 2.0 against a BTC+ETH benchmark.

Imperial College MSc · MIT Applied AI · CAIA Level 1 · GMAT 720. Not a target-school path. Levelled up from banking operations into mid-market PE. Which is exactly why this platform exists.

Founder · 02

Growth PE & Venture

Entry, growth equity, early-stage venture

A specialist in growth equity and venture, with deep experience across entry pricing, market sizing, and the commercial diligence that separates a good pitch from a good investment. Equally at home stress-testing a SaaS ARR model and negotiating term sheets. Understands that deal conviction is a skill you build by doing, not by reading.

Deals closed20+

Deals reviewed1,000+

MarketsUK · EU · NA

SizingLower-mid → large-cap

Across co-investments, GP-led secondaries, primary fund allocations, and venture rounds. The scenarios in Eternal are not imaginary — they are derived from real situations, real decisions, and real consequences.

The £100 advice

The best advice we ever gave a mentee.

“Take £100. Go and invest it. Now. Today. Call it cinema money — and if you don't lose it by the end of the month, good job.”

In public markets it's a brokerage account. In private markets there are ways too — co-investments through platforms, angel syndicates, secondaries marketplaces, crowdfunding vehicles. Accessible entry points for people building a portfolio without the £10m minimum.

The point is not the money. The point is that after you put skin in the game, you start reading the news differently. You read an earnings call differently. You think about downside scenarios differently. That shift — from student to investor — is what Eternal is designed to accelerate.

When we were doing our own interviews, the conversations that mattered lasted three hours and were entirely about deals we had made. Not “tell me about a time you showed leadership.” Real positions. Real reasoning. Real conviction tested in real time.

Time to drop the university hat. Put on the investor hat.

The fast lane

The fast lane is a track record, not a target school.

This is especially relevant if you are from a non-target school, or a banker trying to move up or across. The PE industry selects for a very specific profile — and that profile is not “best grades.” It is “has this person made real investment decisions and can they defend them under pressure.”

We levelled up that way. We have mentored others who did the same. The pattern is consistent: the people who get the offer are the ones who walk in with a track record — deals reviewed, positions taken, losses understood, wins unpacked. Eternal is where you build that track record before you need it.

Non-target

Doesn't disqualify you

No IB background

Not the only path

Your track record

The actual differentiator

The investor's characterSix tenets

The constraint is character, not the model.

Both founders have spent enough time around deal tables to know that financial modelling is not the constraint. A perfect model gets you nowhere. A perfect essay does not either. It is who you are under pressure that closes the deal.

The principles that define elite investors are not taught in finance courses. They are closer to what military special operations doctrine has formalised over decades of high-stakes decision-making under uncertainty:

Never out of the fight

Deals die and come back. Markets turn. The investor who stays at the table when others leave is the one who builds the track record.

Slow is smooth, smooth is fast

Calculated, accurate action in diligence outperforms frantic speed. Precision in the model is the foundation of speed at the negotiating table.

The 40% rule

When you think you have done enough diligence, you have done 40%. The analysts who become partners are the ones who know this.

Decentralised command

Great PE professionals empower the team. The associate who can run a process without micromanagement is the one who gets promoted.

Lead by example

In an IC meeting, conviction is shown through rigour, not seniority. Defend your thesis. Own your numbers.

Uncompromising integrity

In private markets, your word travels further than your model. Reputation is the only long-run moat.

Source · Naval Special Warfare Command SEAL Ethos; McRaven, Make Your Bed (2017); Willink & Babin, Extreme Ownership (2015); Grossman, Mental Toughness Big Four.

The cases

The cases are not imaginary.

Every scenario in Eternal is derived from a real deal structure, a real market situation, or a real diligence failure that we have seen or been part of. The companies are fictionalised. The mechanics are not.

As you progress through the platform, you will start to see linkages — between deals, between sectors, between macro conditions and capital structure decisions. That is intentional. Real PE is not a series of isolated case studies. It is a continuous market in which every deal informs the next.

The roadmap takes this further. We are building toward live data integration — pulling real-time public information on actual companies as a supplementary layer to your case performance. The simulation and the market will eventually overlap.

Where this is going

01Branching case study simulations derived from real deal archetypes
02Cross-deal linkages that reward pattern recognition over isolated prep
03Real-time public market data as a supplementary layer to simulation performance
04A verified track record you can walk into any interview with

The deal table is open

Stop preparing to prepare. Make a decision.

Take the position. See what the cascade looks like. That is how you build the investor character — and the track record — that gets you in the room.

No account needed · 60 seconds to your first decision