AI-native diligence for investors and deal teams

Every target deserves a first look. Few deserve your next three weeks.

ValueAccel gives your team an institutional-grade first look at any company, listed or private: what the price assumes, where value is won or lost, and whether the deal clears your mandate. So your weeks, your fees and your credibility go only to the deals that deserve them.

$5,000 for five targets. Money back if it doesn’t deliver. Read a sample report

First look, private target
Project Atlas
Running against Mid-market mandate
  1. 1Market vs intrinsicAsking price 1.3x intrinsic value
  2. 2Value creationEarns 4 points above its cost of capital
  3. 3What must be truePrice needs 7% growth; delivered 5%
  4. 4Drivers and leversWorking capital is the largest gap to peers
  5. 5Operating modelPlan holds without market growth
  6. 6What could break itTop-five customers above mandate limit
Where the return comes from
Verdict
Proceed to full diligence

Illustrative run. Figures are examples, not a real company.

45,000

listed companies worldwide, ready to analyse

6

questions, answered in the same order on every case

Instant

first look at any listed company, no waiting

50

private targets screened in a single week

You know this week.

Every deal team does. It repeats for every teaser, every quarter.

  1. Thu, 4:40 pm

    A teaser lands. It looks interesting. Most of them do.

  2. Friday

    An associate starts the model. The rest of the pipeline waits.

  3. Sunday night

    The returns work, as long as the exit multiple goes up. Nobody says that part out loud.

  4. Mon, 9:00 am

    The committee wants a view. You have a spreadsheet and a feeling.

The real cost isn’t the deals you lose. It’s the weeks spent on deals you could have passed on in minutes, and the one that gets through because the model looked fine.

Full diligence answers the question properly. It just arrives weeks later, costs six figures, and lands after everyone has fallen for the deal.

ValueAccel is the first look, done properly.

Name a company. Instantly for a listed one, or within a week for a private one, you see what its price assumes, whether it earns more than its capital costs, where value leaks against peers, what a credible plan is worth as a deal, and what could break it.

Then a verdict, judged against your own mandate. Not a dashboard to interpret. A decision you can defend.

Proceed

The deal clears your hurdle on base-case operating improvements.

Monitor

It needs a better price or stretch targets to work.

Pass

New capital would earn below its cost.

Six questions, always in the same order.

1
Market vs intrinsic

What is the market paying for?

Price against intrinsic value, and how much of it is growth.

2
Value creation

Is the company creating value, and where is it heading?

Economic profit over five years and the return on new capital.

3
What must be true

What would have to be true to justify the price?

The growth, returns and cost of capital the price assumes.

4
Drivers and levers

Where is value gained or lost, and what would close the gap?

Gaps to peers, a ranked lever playbook, and the plan priced as a deal.

5
Operating model

What does it take on the ground?

Operating targets, owners, KPIs and the 100-day plan.

6
What could break it

Risks, downside cases and the evidence still needed

A risk register and the questions for management.

See it on a company you know.

Our sample report runs the full diagnostic on Target Corporation for fiscal 2025, with Walmart as the close peer and Costco as the aspirational one. Every number in it comes from the engine.

The takeaway, as the report opens

Target earns more than its capital costs, but its new capital earned −7% against a 9.0% cost. Fix returns before funding growth.

1.24x

Price to intrinsic value. 43% of the market value is growth.

7.0%

Growth the price needs, against 2.7% in the base case.

+$716M

Economic profit a year from closing the gap to Walmart.

+3.9 pts

Return on capital over its 9.0% cost, worth $1.34B of economic profit a year.

From the sample report on Target (TGT), data as of 13 October 2026. Not investment advice.

Built for people who have to defend the number.

Private equity deal teams

Too many teasers, too few weekends.

Pass on weak deals before the data room opens. Walk into committee with the downside priced and the management questions written.

Long-only and fundamental funds

The price already assumes something.

Know what has to be true before the position is in the portfolio, not after the first missed quarter.

Corporate development

Every target looks strategic.

Judge targets on the same economics as your own business, and see whether past acquisitions ever earned their price.

Operating partners and consultants

The plan arrives before the numbers.

Start with the economics settled: where value leaks against peers, which levers close the gap, what the plan is worth. Then implement it.

Three ways to work with us.

All remote, all fixed price. Data room access and one contact on your team is all we need.

Run it yourself

$5,000

for a five-target pilot, money back if it doesn’t deliver

Any of 45,000 listed companies, live in the platform, with onboarding and support included.

Hand us the data room

$6,000

per private target, inputs ready in a week

Our analysts turn the data room into reconciled figures, or screen up to 50 teasers in a week for $15,000.

Bring in a sprint

$25,000

for a two-week diligence sprint

Or a priced value-creation plan in three weeks from $35,000. We stop where implementation starts.

Why we're different.

Data terminals give you the numbers. Consultants give you the answer, eventually. ValueAccel gives you the answer from the numbers, before you commit.

QuestionYour team's modelBig-firm diligenceValueAccel
Time to a first answerEvenings and weekendsWeeksInstant for a listed company, a week for a private one
CostYour team's timeSix figures$1,000 a target on the pilot, $350 on the license
Ends in a decisionDepends who built itYes, late in the processYes, against your own mandate, before you commit
Shows whether the business or the exit multiple drives returnsRarelySometimesAlways, in the value creation bridge
Same method on every dealNoVaries by teamSix steps, every time
What you keepA spreadsheetA reportA live case your team can reopen and rerun

AI where it helps. Maths where it matters.

The engine

Calculates every number.

Every figure comes from filings or your own data, through one economic model with reconciliation checks. Run the same case twice and you get the same answer.

The Analyst

Explains it, and never invents it.

AI reads your documents, answers questions and drafts IC memo sections, using only the engine’s numbers and the documents you added, with sources cited.

One measure of value

Economic profit throughout: invested capital times the spread between return on capital and its cost.

Forensic data checks

Invested capital is reconciled to the balance sheet, leases are capitalised, and every figure is marked reported or estimated from peers. Low-confidence levers are hidden rather than guessed.

Targets you can defend

Lever targets are paced at the 75th percentile of improvements companies have actually achieved, not wishful parity with the best peer.

Your documents stay yours

Read only when you ask, kept inside the project, never used for training.

Your next teaser is already in your inbox.

Run it through ValueAccel before anyone spends a weekend on it. Five targets, $5,000, and your money back if it doesn’t deliver.