Private Investment · Aligned Capital

Today’s investment.Tomorrow’s legacy.

We open doors that are usually closed — late-stage private technology, healthcare businesses that actually help someone, real estate that pays every month. The kind of access normally reserved for institutions. We open it for the people who invest with us, and our own capital sits in every position beside theirs.

See what we open→ How you invest

The Firm

Three operators.One position.

ADJL is small on purpose. There is no committee between you and the people doing the work, no layer of analysts summarising a summary. We find the deal, we underwrite it ourselves, and we put our own money in before we ever ask for yours. That last part is the whole thing — when we are wrong, we are wrong with you, in the same position, at the same time.

0Investment Verticals
0Markets Modeled
0Partner Alignment
∞Long-Term Horizon

What We Invest In

Four doorsworth opening.

01 Pre-IPO · Growth Equity

Pre-IPOTechnology

Enterprise · AI Infrastructure

Some of the most important companies of the next decade are still private — and most people cannot touch them until the listing, by which point the interesting part has already happened. We work our way into late-stage companies before they go public: enterprise software, AI infrastructure, the platforms quietly becoming essential. This is access that normally sits behind an institutional door. We open it, carefully, for the people who invest with us.

02 Healthcare Clinics

ABA &Longevity Clinics

Preventive · Healthspan Medicine

Two kinds of clinics, one thesis: healthcare people genuinely need, run as sound businesses. ABA clinics help kids with autism learn, grow and thrive, on steady insurance-backed revenue. Longevity clinics — the fast-growing world of preventive and healthspan medicine — ride a powerful demographic wave as people invest more in staying healthy longer. Both are places where doing good and investing well point in the same direction.

03 Multifamily · Student & Workforce Housing

RealEstate

Multifamily · Student & Workforce

We buy apartment buildings that pay us every month — in college towns and cities booming with defense and tech jobs, where demand for housing is not going anywhere. Our edge is renting by the room instead of the unit, which meaningfully increases what a property earns. And we are picky: every deal has to work under conservative, worst-case-ish assumptions before we will touch it.

04 Proprietary Technology · Built In-House

TDPSTrading System

Systematic Equities · Live Market Data

Our own rules-based system for liquid US equities. It watches live market data and turns it into a decision: buy this dip inside this uptrend, risk exactly this much, take most of the gain here, let the rest run. Entries, stops and exits are all defined before the trade rather than argued about during it. We built it, we run it, and we publish what it does badly alongside what it does well.

How the system works→

What We Focus On

Where we are looking —and why.

We do not chase every shiny thing. We concentrate on a handful of areas where we think the next decade gets decided, and we go deep. Here is how we are thinking about the world right now.

01

The data layer of AI

Every company racing to use AI runs into the same wall: their data is a mess. The platforms that help enterprises organise that data and actually put AI to work on it are becoming as essential as electricity — quietly indispensable, deeply embedded, and very hard to rip out.

Why it matters

Once a company builds its AI on your platform, they do not leave. That kind of stickiness, at enterprise scale, is where durable value lives.

02

The compute underneath it all

All of AI — every model, every chatbot, every agent — runs on GPUs sitting in data centres somewhere. Someone has to own and rent out that raw horsepower. It is the least glamorous part of the AI boom and, historically, one of the smartest places to stand: sell the picks and shovels.

Why it matters

Demand for AI compute keeps outrunning supply. The companies that can deliver it efficiently, at a better price than the giants, have a real edge.

03

Markets for information

A genuinely new asset class is being born: platforms where people trade on what will actually happen — elections, prices, world events — turning crowd wisdom into a live, money-backed signal. When the parent company of the New York Stock Exchange starts investing billions here, it is worth paying attention.

Why it matters

Brand-new categories are where the asymmetric returns hide — if you understand them early and size the risk honestly. We are studying this one closely.

This page describes the sectors and themes we research and find compelling — it is educational, and it is not an offer to invest, a solicitation, or a recommendation of any security. ADJL Capital’s specific holdings are shared only with qualified investors through private materials.

How You Invest

Two kinds of peopleinvest with us.

Some want to hand it off and get on with their lives. Others want to be in the weeds. We built ADJL so neither one has to compromise.

Set It & Forget It

You have better things to do.

You have worked hard for your money and you would rather not spend your weekends underwriting apartment buildings. Fair enough. Put your capital alongside ours and we will do what we do — find the deals, run the numbers, sweat the details — and keep you posted. You check in when you want to. That is it.

  • We source, vet and manage every deal
  • Straightforward updates, no jargon
  • Our money is in right beside yours
Hands On

You want to see it for yourself.

You like understanding what you own and why. Good — so do we. Invest with us and you also get the keys to the same research tool we use: scan any property, dig through rent history, run the returns, pressure-test a market at midnight if that is your thing. No black box. You see exactly what we see.

  • Full access to the research tool
  • Run your own numbers on any deal
  • Real transparency, not a summary

Proprietary Technology

The ADJLMarket Research Tool.

We got tired of spending hours in spreadsheets working out whether a rental property was actually any good — so we built something to do it for us. Paste in a Zillow or Redfin link and it pulls the live numbers, digs up years of rent history and public records, runs the same math a professional analyst would, and simply tells you: good deal, or walk away. It is the tool we use on our own deals, and a real part of what your capital is backing.

zillow.com/homedetails/2402-Bosque-Dr-College-Station-TX-77845
Scanning Listing · Zillow

2402 Bosque Dr A–D, College Station, TX

$445,000

4 units  ·  2 bd / 2 ba each  ·  3,670 sqft  ·  Built 1980

Analysis Complete ✓ STRONG BUY Per-room leasing strategy · ADJL owned
DSCR 1.39x
Cap Rate 8.6%
Annual Cash Flow $9,174
True IRR 22.9%
Money Multiple 1.90x

The Problem

Most people buy on gut.You will buy on math.

Doing this properly is genuinely tedious — pulling comps, guessing at rent, modelling the mortgage, running the returns. It is hours of work per property, so most people just eyeball it and hope. That is how you end up overpaying. Our tool does the boring, careful part in seconds, so you walk into every offer already knowing the answer.

What It Does

An analyst inyour pocket.

01

Scans Any Listing

Paste a Zillow or Redfin URL and the tool reads the property — price, beds, baths, square footage — then pulls live rent estimates and comparable sales through our proprietary data pipeline.

02

Full Underwriting

The same math the professionals run — cash flow, cap rate, the 1% rule, IRR, the whole lot — done in a blink, and always with cautious, do-not-fool-yourself assumptions baked in.

03

Instant Verdict

A straight answer, not a maybe: Strong Buy, Conditional, or Pass. And it shows you how the deal looks whether you are buying it yourself or going in with others.

Private & Proprietary

The engine thatreads the market.

Under the hood is an engine we built to stop guessing and start knowing. It reads the real listing off Zillow and Redfin, digs up years of rent history and whatever public records exist, checks today’s rents and recent sales against live market data, and runs the whole thing through our own underwriting model — the exact one we use before we buy anything ourselves. No hunches. Just the numbers, pulled straight from the source.

  • Live listing data from Zillow & Redfin
  • Real-time rent estimates & comps via RentCast
  • ADJL’s proprietary underwriting model
  • The exact tool ADJL uses on its own deals
  1. Zillow Listing Property details & asking price
  2. Redfin Data Cross-referenced listing info
  3. Historical & Public Records Rent history · sales · tax · ownership
  4. RentCast API + ADJL Engine Live comps · rent estimates · underwriting
  5. Buy / Pass Verdict DSCR · Cap Rate · IRR · Cash Flow

Deep Data

Every rent,all the way back.

Today’s rent tells you almost nothing on its own. What you really want to know is where things are headed — and for that you need the whole story. The tool pulls every year of rent history it can find for a property and its neighbourhood, plus the public paper trail: past sales, tax assessments, who has owned it, permits pulled. You get to see whether a market is on its way up, topping out, or quietly sliding — before you put a dollar in.

  • Full historical rent data — every year on record
  • Public rental records scraped & compiled
  • Public records: sales, tax, ownership & permits
  • See the full trend, not just today’s snapshot
Rent History · College Station, TX Avg Rent / mo
20192020202120222023202420252026
+31% 7-yr growth
8 yrs On record
$1,253 Current avg
  • Last Sale (Public Record)$382,000 · 2019
  • Tax Assessment$401,200 · 2024
  • Ownership Records2 transfers on file

The Advantage

Your unfair edgein every deal.

In real estate, the person with the best information who moves first usually wins. While everyone else is still building a spreadsheet, you already have your answer and you are three deals ahead. That is the whole point of this thing.

30 sec

Speed to Decision

Underwriting a property by hand takes hours. The tool does it in seconds — so you can evaluate ten deals in the time it used to take to model one, and make an offer before the competition finishes their math.

Without 3–4 hrs per deal
With the Tool Under 30 seconds
100%

Emotion-Free Underwriting

The biggest mistake in real estate is falling for a property before you run the numbers. The tool strips emotion out — every deal is judged against the same DSCR, cap rate and IRR thresholds, so a pass is a pass no matter how nice the kitchen looks.

Gut Instinct Inconsistent, biased
The Tool Same rules, every time
70

Markets at Your Fingertips

Most investors know their own backyard and nothing else. You get a ranked view of 70 markets nationwide — spotting the college town or defense-sector city with better yields than anything in your local MLS before anyone else is even looking there.

Typical Investor 1 local market
With the Tool 70 markets, ranked
$0

No Analyst to Hire

An acquisitions analyst who could do this work costs a firm six figures a year. We built the same underwriting horsepower into software — the institutional toolkit, without the institutional overhead. That efficiency is part of what makes our deals work.

Hire an Analyst $100K+ / year
Our Tool Built in-house

Inside the Platform

Built fordecisions.

Here is what you are actually getting — a real look inside the tool. Market data on 70 markets across the country, plain-English analysis on each one, and the deal scanner that does the heavy lifting.

Property Analyzer
ADJL Owned ✓ STRONG BUY
Investor ✓ STRONG BUY
Solo ~ CONDITIONAL
DSCR 1.39x
Cap Rate 8.6%
Annual Cash Flow $9,174
True IRR 22.9%
The Research Tool

Three-scenario verdict with full underwriting metrics on every property you scan.

Top 20 Markets
  • 1 College Station, TXTexas A&M · 74,000 students 9.5
  • 2 San Antonio, TXJBSA · 80,000+ personnel 9.3
  • 3 Tuscaloosa, ALUniversity of Alabama 9.2
  • 4 Columbus, OHOhio State · Intel $20B 9.0
Curated Market Rankings

20 hand-scored college and defense-sector markets, ranked by ADJL’s investment criteria.

AI Market Analysis AI Growth Synopsis · Claude

College Station stands out as one of the most reliable student housing markets in the country, driven by Texas A&M’s 74,000-student enrollment — the largest single campus in the US.

The median multifamily price of $395,000 sits 11% below the national average. Per-room leasing generates a 30–45% revenue premium over whole-unit rents on the same asset.

Conservative 12% appreciation over four years translates to a 21–27% IRR — a compelling risk-adjusted return for a tangible, income-producing asset.

AI-Written Market Synopsis

Every market gets a live, three-paragraph analysis of drivers, pricing and outlook.

All 50 States
  • GA Georgia $335K ACTIVE DEAL
  • TX Texas $335K HOT
  • TN Tennessee $375K HOT
  • FL Florida $405K GOOD
  • CO Colorado $545K GOOD
National Coverage

All 50 states with median pricing, rent and investment ratings — sortable at a glance.

Books, Handled

From deal toledger in one click.

When tax season comes, your accountant will thank you. Every property you run turns into a clean spreadsheet with the income, expenses, mortgage and returns already sorted and labelled — and it drops right into QuickBooks. No rebuilding, no back-and-forth, no shoebox of receipts.

  • One-click export to CSV & Excel
  • Pre-categorised for QuickBooks import
  • Income, expenses, NOI & debt service itemised
  • Your accountant saves hours per property
Deal SummaryCash FlowPro Forma
↓ Export to QuickBooks
Line ItemMonthlyAnnualCategory
Gross Rental Income$7,200$86,400Income
Vacancy (8%)–$576–$6,912Income
Operating Expenses–$3,432–$41,184Expense
Net Operating Income$3,192$38,304NOI
Debt Service–$2,126–$25,512Loan
Net Cash Flow$765$9,174Net
ADJL ToolCSV SpreadsheetQuickBooks

Financing Intelligence

Will the rate makethe deal work?

A great property with a poor interest rate can quietly turn into a bad investment. So before you fall in love, the tool sizes up your borrower profile against the big mortgage lenders, estimates the rate you would actually get, and plugs that real number into the math. You find out whether the deal still works with financing you can genuinely qualify for — not an optimistic guess.

  • Credit profile analysis against major lenders
  • Estimated rates from Rocket, Chase, Wells Fargo & more
  • Rate feeds directly into the deal’s underwriting
  • Know if you will qualify for a good rate before you offer
0 Score
Strong Borrower Profile Qualifies for conventional & portfolio loans Prime · Best Rates
  • Rocket Mortgage30-yr conventional 6.25% APR est. Best
  • Chase30-yr fixed 6.45% APR est.
  • Wells FargoInvestment property 6.60% APR est.
  • U.S. BankPortfolio loan 6.75% APR est.

Our Edge

Technology most fundsour size do not have.

We did not wait for someone to hand us institutional tools — we built them. This is the same engine our team uses to underwrite every real estate deal before a dollar goes in. It is a real advantage, and it is part of what your capital is backing when you invest with ADJL.

01

Built in-house

Not licensed, not off-the-shelf. Our own underwriting model, tuned to how we actually evaluate deals.

02

Used on every deal

The same tool you have seen here is what we run before we commit capital. No deal skips it.

03

Live market data

Zillow, Redfin, RentCast, historical records and public filings — pulled straight from the source.

Proprietary to ADJL Capital · Part of how we underwrite

Questions

Good toknow.

Sample Research · Illustrative Only

The kind of researchwe actually do.

Here is a real example of how we study an opportunity before we would ever put a dollar in. This is a sample write-up on Lambda — an AI infrastructure company we find compelling but are not currently invested in. It is here to show you how we think, not to pitch a position.

Lambda

AI Cloud Infrastructure · Research Note
Sample · Not a Position
~$5.9B Last Valuation
~61% Cloud Gross Margin
1M+ GPUs Deployed
2012 Founded

What They Do

Lambda rents out GPU computing power for artificial intelligence — the raw horsepower companies use to train and run AI models — positioning itself as “the AI Developer Cloud.” Founded in 2012, Lambda started by selling physical GPU servers and workstations before pivoting to cloud as demand for AI compute exploded after ChatGPT. That cloud business now drives the majority of its revenue. The pitch is focus and price: rather than being a general-purpose cloud like AWS or Azure, Lambda does one thing — AI compute — and does it cheaper, offering Nvidia H100 instances at roughly $2.49/hour versus materially higher prices at rivals.

Valuation Trajectory · 2024 → 2026

$1.5B 2024
$2.5B Mid-2025
$4.0B Late-2025
$5.9B 2026

*Reportedly negotiating a new round around $4–5B and targeting an IPO as early as H2 2026. Figures are from public reporting and are unaudited.

Why It’s Interesting

If most AI bets are on the software, Lambda is a bet on the physical infrastructure beneath it — the classic “picks and shovels” position. Every AI model, at every company, runs on GPUs somewhere, and Lambda has built a credible, cost-advantaged, developer-friendly business supplying exactly that. Two facts anchor the interest: Nvidia is both a validator and a customer — Lambda holds Nvidia’s “Exemplar Cloud” performance status, and Nvidia has reportedly signed on to lease back roughly 18,000 GPUs — and the company has hired Morgan Stanley, J.P. Morgan and Citi as it heads toward a potential IPO, following rival CoreWeave’s path to the public markets.

The Case For

  • Pure “picks-and-shovels” exposure to AI compute demand
  • Nvidia is both validator and a major customer — rare signal
  • Cost-advantaged: H100s at ~$2.49/hr vs. much higher at peers
  • IPO advisers hired; CoreWeave’s listing set the precedent

The Case Against

  • Deeply capital-intensive — GPU buildouts need constant funding
  • Nvidia dependence cuts both ways — supplier, customer and risk
  • Hyperscalers and CoreWeave compete directly on price and scale
  • IPO is reported and prepared, but unconfirmed — timing can slip

How We’d Think About It

This is the kind of infrastructure bet we find genuinely compelling — but “compelling” and “invested” are two different things. If we were to take a position, we would hold it conservatively, with clear eyes on the capital intensity of the GPU-cloud business and Lambda’s heavy reliance on Nvidia. The setup is strong: a cost-advantaged operator, an Nvidia relationship that is hard to overstate, and a live path toward the public markets. For now, we are watching the terms of any pre-IPO round and the trajectory toward a listing.

We are not currently invested in Lambda.

This is a condensed sample. Our full research notes go deeper — and are shared privately with qualified investors.

Get Started

Stop guessing.Start knowing.

Whether you want us to handle everything or you want to run the numbers yourself at 2am — there is a place for you here.

Get in Touch→

How It Works

From listing toverdict in three moves.

  1. 01

    Paste

    Paste a Zillow or Redfin link, or type in the details yourself. That is the only part you have to do.

  2. 02

    Scan

    It goes and pulls the real numbers — current pricing, what things rent for, and what has sold nearby — plus the history behind them.

  3. 03

    Decide

    You get the full breakdown and a clear verdict — buy, think about it, or pass — in the time it takes to read this sentence.

The Partners

Three partners.One position.

The same three people who source the deal underwrite it, sign for it, and answer the phone afterwards. Every dollar we manage sits next to a dollar of our own.

Daniel Laskowski

Managing Partner

Daniel leads the firm’s investment strategy and deal underwriting. He also designed and built ADJL’s proprietary market intelligence platform — the tool the whole team now runs deals through.

Andrew Jongeneel

Partner · Real Estate

Andrew heads real estate acquisition and diligence, sourcing multifamily opportunities across college towns and defense-sector markets — and making sure every deal earns its place.

James Harvey

Partner · Advisor & Investor

James advises on capital strategy and investor relations, bringing steady judgment and a long-term perspective to the firm’s biggest decisions.

Connect

Let’s openthe door.

Curious about investing with us, or want access to the tool? Just reach out — you will talk to one of us, not a call centre. We treat every conversation with the same care we would want if the money were ours. It usually is, too.

daniel@adjlcapital.com→ Explore the Platform