NeuraCap

For private equity

Screen and benchmark acquisition targets faster

The constraint on a deal team is rarely the number of names. It is how many can be examined properly before the process moves on. NeuraCap builds the peer set, the KPI benchmark and the transaction record for a target in the time it takes to read the teaser.

  • Triage a long pipeline honestly
  • Benchmark against real peers
  • Test the entry multiple early
  • Map bolt-ons around a platform
  • Arrive at IC with the evidence
208,000M&A transactions in the record
97.5%of figures confirmed against two independent sources
540,000+SEC filings processed, 2015 – 2026

The current state

What slows this down today

Every fund has a version of the same bottleneck: the analysis that would settle an argument costs more hours than the argument is worth at that stage.
  • Sourcing produces more names than anyone can diligence

    Two hundred names in the pipeline and a team that can properly look at a dozen a quarter. Triage ends up being done on a teaser, a sector hunch and whoever shouted loudest on the Monday call.

  • A private target has no comparables until someone builds them

    The memorandum gives you three years of adjusted EBITDA and a narrative. Testing whether the ask is sane needs a peer set and a deal record nobody wants to build for a name you may pass on.

  • The entry multiple argument arrives too late

    By the time the comps exist, the name has been talked into the pipeline and capital has been spent on it politically. Evidence that would have killed it in week one now has to kill it in week six.

  • Bolt-on mapping is done from memory

    A buy-and-build thesis rests on knowing who else sits in the sub-sector and what the last ten deals cleared at. That map is usually one partner’s recollection rather than a record.

The change

How NeuraCap changes the workflow

The work moves earlier. A name gets a peer set and a transaction check in the first week rather than the sixth, which changes which names survive. The method behind both is set out on the methodology page.

Target screening

Triage that survives the Monday meeting

The problem
Which names get worked on is decided from a teaser, because a proper look costs a week of associate time each.
Why it matters
A pipeline triaged on instinct spends the expensive resource — diligence capacity — on names that were never going to clear.
In NeuraCap
Enter the target, public or private. NeuraCap builds a comparable set from business substance, benchmarks the KPIs against it and shows where the company sits in the distribution.
What you get
A structured profile, a peer table with medians and percentiles, and a KPI benchmark that says where the asset is strong and where it is not.
The decision it enables
Which names get diligence capacity this quarter, and which get a pass with a reason attached.

Entry multiple evidence

Whether the ask sits inside the record

The problem
The vendor multiple arrives with a story attached and no quick way to test it against what comparable assets changed hands for.
Why it matters
Overpaying is decided at entry. The evidence that would have made the case is usually assembled after the price has been anchored.
In NeuraCap
Screen a structured record of precedent transactions by sub-sector, period and size band. Each figure is confirmed against two independent sources, and plausibility gates keep broken multiples out.
What you get
A precedent table with announcement dates, structures and multiples, and a football-field range showing where the ask sits against it.
The decision it enables
What to open at, what to walk away from, and which comparable deal you cite when IC asks why.

From a teaser to an IC-ready view

  1. Put the target in

    Public candidates are looked up by name or ticker. For a private target, enter what the teaser and the data room give you and NeuraCap enriches it.

  2. Build the peer group

    A comparable set is proposed from business substance rather than a sector code. Adjust it, and the medians, percentiles and KPI benchmarks move with it.

  3. Test the ask

    Screen precedent transactions for the sub-sector, period and size band, and see where deals cleared and which buyer types paid the premium.

  4. Frame the range

    A sector-appropriate primary valuation basis, cross-checked on EV/Revenue and plotted as a football field. Implausible multiples are gated out, not absorbed.

  5. Write it up

    Export to PDF or PPTX for the screening memo, and use report Q&A for the follow-ups that come back from the deal team.

The pieces behind each step: private company evaluation for targets without filings, M&A intelligence for the transaction record, valuation analysis for the range, and industry intelligence for the sector the asset has to grow in.

The deliverable

What you take into IC

In a form the memo can absorb, with the provenance of each figure stated rather than assumed.
  • A structured profile of the target, public or private
  • A comparable set with medians, percentiles and KPI benchmarks
  • Precedent transactions, with what was excluded and why
  • A football-field valuation range across methods
  • A read on the sector the asset sits in
  • An export to PDF or PPTX for the screening memo

Sell-side teams on the other side of the same process work from the same evidence base. If you also run a banking mandate, see NeuraCap for investment banking.

Proof

Judge the method on published work

Industry research is free to read and ungated, built with the same sourcing and verification as the analysis you would rely on for a target.
Roughly quarterly, ~20 pages

Industry Sector Outlook

The structure of a sector, the valuation spread across it, and the deal record that explains the spread.

Every two weeks, ~7 pages

Industry Events & M&A Update

Announcements and deal activity across the sectors we cover, on a fortnightly cadence.

Coverage and data

Sectors and sources

Which sectors are covered, which source classes stand behind a figure, and where the limits are.

Straight answers

The objections deal teams raise first

What NeuraCap does, and equally what it does not do.
Does NeuraCap source deals for us?
No. It does not run your pipeline and it does not introduce proprietary opportunities. It evaluates the names you put in front of it, fast enough that triage can be evidence-led rather than anecdotal.
Is this a substitute for diligence?
No. It is pre-diligence work: enough evidence to decide whether a name deserves diligence and what the entry argument looks like. It is not a quality-of-earnings review, a formal appraisal or a fairness opinion, and it creates no fiduciary relationship.
How reliable is the data on a private target?
Private-company data is user-provided and then enriched, and is labelled that way throughout. The benchmarks come from public-company fundamentals in SEC EDGAR filings where applicable, consensus estimates for revenue, EBITDA and EPS, market price data and a structured M&A transaction record. Multiples, medians and percentiles are calculated from those inputs.
Will it tell us what to pay?
No. NeuraCap frames a range and shows the evidence in calibrated language rather than asserting causation. Nothing it produces is a recommendation to buy or sell a security. The bid is your decision, on your assumptions about the hold and the exit.

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Public or private, any sector. Tell us the company and what you need to understand.