Customers · Investment Banks

Stop rebuilding the public recorddeal by deal.

Built for M&A diligence, securities offerings, and deal-team research.

Vekstar investment banking product demonstration

Vekstar is AI designed for investment banking. Analyze companies, transactions, and disclosures across the entire SEC record so deal teams can move faster and focus on higher-value work.

For investment banks

How Vekstar supports investment banking workflows

Move from fragmented filing review to source-backed analysis across the full SEC record.

01

Ask across the full public-company record.

Search deal-relevant disclosures across issuers, periods, segments, risks, capital structure, and agreements in one place.

02

Reveal patterns across peers and periods.

Compare filing histories to surface shifts in guidance, liquidity, segmentation, and transaction-relevant language that no single filing reveals.

03

Deliver source-linked analysis.

Produce defensible outputs for fairness opinions, offering materials, diligence work, and internal memos with every conclusion tied back to the source.

Without Vekstar / With Vekstar

The same work, before and after the record is maintained for you.

Building the filing set

Without VekstarAnalysts pull filings issuer by issuer and start over when the perimeter shifts.
With VekstarOne query resolves the target, acquirer, and comparable set across every relevant period.

Reading the agreements

Without VekstarCredit agreements and exhibits are read manually, under deal timelines.
With VekstarCovenants, maturities, and change-of-control terms surface with the exhibit attached.

Checking the record

Without VekstarEvery figure is re-verified by hand before it reaches the committee book.
With VekstarEach material claim opens to the filing, page, and section that supports it.

Committee review

Without VekstarA question sends the team back to EDGAR mid-meeting.
With VekstarThe supporting passage is available in the room, in one click.

See Vekstar on the companies you work on.

We will configure the demonstration around a target, an acquirer, and the comparable set your team is working on today — including the exhibits you would normally read by hand.

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