Information Technology · Investor Brief

The Biggest AI Returns May Not Come From AI Companies

They may come from old, fragmented industries that AI is finally making efficient. Here are four private opportunities showing what that looks like.

By OakTech Systems · 6-minute read

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Where AI is being embedded

Small-business accountingMortgage closingsTitle and escrowCompliance reviewEnterprise knowledgeMeetings and trainingCurrency marketsCrypto markets

Everyone is chasing the model makers. The headlines, the valuations and the capital are concentrated on the companies building the AI itself.

But history suggests the largest fortunes in a technology shift rarely go only to the people who invent the tool. They go to the people who put it to work in places that need it most.

Electricity

The factories

that rewired around it

The internet

Retail, travel, advertising

rebuilt once software reached them

AI, now

Old, fragmented industries

running the same way for decades

Electricity made its biggest fortunes in the factories that rewired around it. The internet made them in retail, travel and advertising, industries that were rebuilt once software reached them.

AI is following the same pattern. The general-purpose tools are becoming cheap and widely available. The value is moving to companies that embed AI deep inside a single industry’s workflows, data and regulations, especially industries that have been running the same way for decades.

That’s where we’re looking.

The thesis: why “boring” industries are where AI pays

Three Things We Look For

Fragmented markets

Thousands of small players, no dominant leader, manual processes and inconsistent quality. Fragmentation is inefficient, and inefficiency is where value gets captured by whoever brings order to it.

Proprietary data and domain depth

Anyone can license a model. Few can train it on years of industry-specific data or build it around the compliance rules that keep a business licensed. That depth is what makes vertical AI hard to copy.

Workflows that are hard to rip out

Once AI is embedded in how a firm closes its books, closes a loan or makes decisions, it stops being a tool and becomes infrastructure. That stickiness is what investors and lenders should be underwriting.

The question is no longer whether AI works. It’s where it gets embedded deeply enough to change the economics of an entire industry, and who owns the platform when it does.
OakTech Systems

The four companies below each apply that thesis to a different market. See them

01 / 04Accounting & Business Services

Analytix Solutions

Consolidating a $15–20B Industry That Still Runs on Spreadsheets

Small-business accounting in the U.S. is a $15–20B market split among thousands of independent firms. Most are owner-operated, rely on manual work, and face the same problem: experienced accountants are retiring, and there’s no one to buy the practice.

Analytix sees that as a buying opportunity.

Through Analytix Capital Fund I, a $30M fund, Analytix acquires established, profitable accounting firms at 3–5x EBITDA and moves them onto its AI-enabled platform. The platform is trained on financial data from more than 1,000 small-business clients, so each acquired firm gets faster, more consistent and more scalable from day one.

It’s a classic buy-and-build strategy with a technology advantage layered on top: buy at a small-firm multiple, improve margins with automation, and build a platform worth more than the sum of its parts.

Why it’s worth a look

  • Disciplined entry: Acquisitions targeted at 3–5x EBITDA.
  • Built-in data advantage: AI trained on 1,000+ small-business clients’ finances.
  • Targeted returns: About 3.0x net, with an 8% preferred return to investors.
  • Aligned manager: The manager is committing about 22.8% of the fund.
See the Analytix Opportunity
Buy-and-buildIllustrative
Independent firms AI-enabled platformTrained on 1,000+ small-business clients’ financial data
$30MAnalytix Capital Fund I
3–5xEBITDA target entry multiple
~3.0xTargeted net return
8%Preferred return to investors
02 / 04Enterprise AI & Knowledge Intelligence

NoteAffect

The Most Valuable Data a Company Owns Is the Data It Throws Away

Every company generates a constant stream of knowledge: client meetings, internal training, strategy sessions, conferences and events. Almost all of it disappears the moment the call ends. What’s left is scattered across recordings, files and inboxes that nobody searches.

NoteAffect turns that lost knowledge into a searchable, organization-wide memory.

Its enterprise AI captures what’s said across a company’s meetings, training and events and makes it instantly findable, so teams can answer questions, onboard faster and make decisions using intelligence the organization already owns.

For enterprises, it’s a way to stop paying for the same knowledge twice. For investors, it’s a platform built on protected technology in a category every company will eventually need.

Why it’s worth a look

  • Protected IP: Backed by four U.S. patents.
  • Universal problem: Every organization loses knowledge in meetings, training and events.
  • Early entry point: Raising a $5M seed round.
  • Sticky by design: The more a company feeds it, the more valuable and harder to replace it becomes.
See the NoteAffect Opportunity
Organizational memoryIllustrative
$5MSeed round being raised
4U.S. patents
03 / 04Mortgage Technology & Compliance

Sign’D (Notaroo)

Modernizing the Workflow Behind $2.2 Trillion in Home Loans

Roughly $2.2T in U.S. mortgages is expected to close in 2026. Behind every one of those closings is a process that still depends on dozens of disconnected vendors: lenders, title and escrow, notaries, and compliance reviewers, each with its own system and its own paperwork.

The result is delays, errors and compliance risk in an industry where a single mistake is expensive.

Sign’D is building the infrastructure to fix that.

Its platform connects the parties behind a mortgage closing into one workflow and applies AI document review inside the process, catching compliance issues before they become costly problems.

In a market this large, even a small improvement in speed and accuracy per loan adds up to enormous value.

Why it’s worth a look

  • Massive transaction volume: About $2.2T in U.S. mortgages expected to close in 2026.
  • Clear pain point: Dozens of disconnected vendors in every closing.
  • High-stakes AI: Document review applied where compliance errors are costly.
  • Infrastructure position: Sits inside the workflow, which makes it hard to replace.
See the Sign’D Opportunity
One closing workflowIllustrative
Oneworkflow Lender Title & escrow Notary Compliance
Loan estimateReviewed
Closing disclosureIssue flagged
Deed of trustReviewed
$2.2TU.S. mortgages expected to close in 2026
Dozensof disconnected vendors in every closing
04 / 04Systematic Trading & Alternative Investments

Zenith Group

Taking Emotion Out of the Trade

Most trading losses aren’t caused by bad information. They’re caused by people: hesitation, overconfidence, and decisions made under pressure.

Zenith replaces discretionary calls with automated, systematic strategies across currency and crypto markets. Every trade follows predefined rules, executed without emotion. And rather than relying on a single strategy or platform, Zenith spreads capital across several under one diversified allocation.

For investors looking for an alternative that behaves differently from a traditional stock and bond portfolio, Zenith offers a rules-based approach to markets that never close.

Why it’s worth a look

  • Systematic, not discretionary: Rules-based strategies remove emotional decision-making.
  • Diversified by design: Capital spread across multiple strategies and platforms.
  • Investor-first structure: 20% preferred return to investors.
  • Accessible entry: $250K minimum investment.
See the Zenith Opportunity
Rules, not reactionsIllustrative
RULE 01Entry conditions met → open position✓ Executed
RULE 02Risk limit reached → close position✓ Executed
RULE 03Schedule reached → rebalance strategies✓ Executed
One diversified allocationMarkets never close
CurrencyCrypto
20%Preferred return to investors
$250KMinimum investment

At a glance

Four markets, one thesis

Swipe the table sideways to compare all four →

Attribute01Analytix Solutions02NoteAffect03Sign’D (Notaroo)04Zenith Group
IndustryAccounting & business servicesEnterprise AIMortgage technologySystematic trading
The problemThousands of small, manual firmsKnowledge lost in meetings and eventsDisconnected vendors in every closingEmotional, discretionary trading
The AI edgePlatform trained on 1,000+ clients’ dataSearchable organizational memoryAI document review for complianceAutomated, rules-based strategies
Key detail$30M fund · 8% preferred return$5M seed · 4 U.S. patents$2.2T market in 2026$250K minimum · 20% preferred return
Learn moreAnalytix page →NoteAffect page →Sign’D page →Zenith page →

What to weigh

The Honest Trade-Off

Vertical AI isn’t a shortcut. These markets are smaller than “all of tech,” and traditional industries adopt new technology slowly. Accounting firms, mortgage lenders and enterprise teams don’t change their workflows overnight.

But that slowness cuts both ways. The same resistance that makes adoption hard makes these products very hard to remove once they’re in. A company that becomes the operating system for its industry doesn’t just win customers; it keeps them.

Slow to adopt

Smaller markets than “all of tech,” and workflows that don’t change overnight.

Hard to remove

Once embedded, the product becomes the operating system for its industry.

For investors

The question is which teams have the data, the domain expertise and the distribution to get embedded first.

For bankers and lenders

It’s a question worth asking about every client: whose cost structure is about to change, and who’s on the other side of that change?

Next step

See the Opportunities for Yourself

If you’re an accredited investor looking for exposure to AI’s next wave, we’d be glad to share offering materials and set up a call with any of these teams.

Each company’s page has its own offering details and booking link. For accredited investors only.

Interested in working with OakTech? Talk to Mo at +1 279-239-4187 or [email protected]