Y CombinatorBacked by Y Combinator

AI EmployeesScale your deal teams

Hire AI employees specialized for the analyst roles your deals run on, so your team runs more mandates.

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Built by engineers from

MetaAppleAWSLockheed MartinJPMorganChase

How Jarmin Works For You

  1. Operates like a
    full-time analyst

    Works alongside your deal team, takes the volume off their desks, improves with their feedback, and keeps your bankers up to speed along the way.

  2. Ramp-up in days,
    knows how you work

    Learns your model templates, your house style, your data-room conventions, and what a strong analyst hire delivers in the role.

  3. Works inside
    your systems

    Connects to Excel, PowerPoint, your data providers, and the data room the deal actually runs in.

  4. Visible to your
    whole team

    Sends status updates, takes feedback from anyone on the deal, and flags anything that needs a credentialed call back to your people.

The analyst work, across the lifecycle

Give your AI employee its responsibilities. These are some of the ways deal teams put it to work, not the limit of what it can do. Book a call for support onboarding your AI employee.

Spreading and normalization

Pulls the target's financials from your source files into the model, normalized and tied out, so the deal starts from clean numbers.

  • Line items mapped from statements, tax returns, and PDFs into your standard template
  • Normalized for non-recurring items and owner add-backs, periods calendarized for comparability
  • Cash versus accrual and currency reconciled before anything feeds the model
  • Footed, cross-footed, and tied out, with every figure traced to its source document

Comps and the model

Builds and refreshes the comps and the operating model, so the numbers are current the day before the pitch.

  • Trading and transaction comps refreshed as filings print, on an LTM and NTM basis
  • Scrubbed for non-recurring items, shown as min, 25th, median, mean, 75th, and max
  • DCF with unlevered free cash flow, terminal value, the mid-year convention, and an exit-multiple cross-check
  • Merger model, accretion and dilution, sources and uses, and the returns, for your assumptions

Diligence and the data room

Keeps the request list and the Q and A moving, so nothing scatters while the clock runs.

  • Diligence request lists tracked, with what is missing flagged and chased
  • Buyer questions logged, categorized, and kept current instead of lost across email
  • Documents indexed and the data room kept organized through every round

Quality of earnings

Builds the earnings bridge and the working-capital analysis that drive the price mechanics.

  • The EBITDA bridge from reported to adjusted, with add-backs and run-rate adjustments laid out
  • A proof of cash that reconciles bank deposits to reported revenue
  • The net working capital peg, the true-up, and the debt-like items worked and flagged
  • Customer concentration and revenue cohorts tested for recurring-revenue durability

Valuation and purchase price allocation

Builds out the valuation work, ready for your appraiser to set the assumptions and sign the conclusion of value.

  • Income, market, and cost approaches, with the levels-of-value and discount support drafted
  • The customer-relationship MEEM with its contributory asset charges and the lifing analysis
  • Relief-from-royalty and with-and-without models for trade names and non-competes
  • The WARA reconciliation tied to the WACC and the deal IRR, and re-run when they diverge

Marketing materials and the deck

Drafts the teaser, the CIM, and the board materials from the model and the data.

  • Teaser and CIM populated, from business overview to historicals and projections
  • The football field and exhibits built and reconciled to the operating model
  • Formatted to your house style, with punctuation, footnotes, and dates checked line by line

Work you can put in front of a committee

The work comes back sourced and consistent, so your team confirms it against the deal record instead of rebuilding it to trust it.

Every number ties to a source

Each model and exhibit comes back footed and tied out, with every figure traced to the statement, the filing, or the data-room document behind it, so the deal team confirms it against the sources before it goes to a client or a committee.

Consistent across the deal team

It works to your model templates, your house style, and your conventions the same way on every mandate, so what comes back holds up on review instead of varying analyst to analyst.

Confidential by default

Each engagement stays inside your environment, and your deal documents and work product are never used to train a shared model, with no third-party retention and no cross-customer training.

It supports the deal team, it does not sign

It carries the analyst load across the lifecycle. The methodology, the assumptions, the conclusion of value, and the signature stay with your bankers and your credentialed appraisers.

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