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VAYSONINTELLIGENCE GROUP

Our approach

Research widely. Validate deeply. Execute personally.

AI creates research leverage. People remain accountable for judgment, relationships, and execution. The process is iterative: buyer and expert feedback can change the thesis and the shortlist.

  1. 01

    Understand the transferable technology and seller objectives

    We clarify the technology, the evidence behind it, its dependencies, ownership questions, the transfer perimeter, and the seller’s objectives. Clear boundaries and known limitations make later evaluation more credible.

    Output

    • Asset brief

  2. 02

    Map potential applications and buyers across sectors and countries

    AI-supported research helps us examine the technology, discover adjacent applications, and map potential acquirers across relevant industries and geographies—starting from what the technology can do, not from a familiar contact list.

    Output

    • Buyer universe map

  3. 03

    Prioritize credible buyer hypotheses

    We look for specific product gaps and build-versus-buy arguments, then narrow the map to the buyers with the most credible rationale. These remain hypotheses until checked by people with relevant experience.

    Output

    • Prioritized shortlist
    • Buyer-specific rationale

  4. 04

    Recruit or select relevant experts for priority buyers

    For priority buyers, we draw on existing advisor relationships and recruit additional former executives and technical leaders whose experience matches the buyer and use case.

    Output

    • Mandate-specific expert team

  5. 05

    Refine and test the acquisition case

    Experts challenge our assumptions, explain how decisions are made inside each buyer, and help shape a buyer-specific case, materials, and demonstrations.

    Output

    • Expert feedback
    • Tailored pitch
    • Stakeholder map

  6. 06

    Engage stakeholders and support execution through closing

    We combine targeted outreach with relevant introductions, work to identify potential internal sponsors, and coordinate commercial discussions, technical evaluation, diligence, negotiation, and closing with the seller and its professional advisers.

    Output

    • Coordinated diligence workstreams

Feedback from buyers and experts flows back into stages 02–05. This is not a one-time database export.

AI findings are hypotheses

Research tools help us cover more ground. Every buyer thesis is checked by people before it reaches a buyer. We do not suggest that AI makes decisions or closes transactions.

Experts share experience, not secrets

Advisors contribute their professional experience and information they are authorized to share. They are not asked for, and must not provide, confidential information of former employers.

Advisors are not buyer insiders

An independent advisor is external to Vayson’s prospective buyers. An internal champion is a current stakeholder at the buyer. Advisors help us find and engage that person; they do not represent the buyer.

Outcomes are not guaranteed.

We assess fit, develop and test buyer hypotheses, and support a disciplined process. Results depend on the asset, buyer demand, diligence, and negotiations.

Explore the next home for your technology.

Tell us what you have built, where the business stands, and what you want to achieve. We will discuss whether a focused sale or licensing process makes sense.

Discuss your technology

Start with a non-confidential summary. Please do not submit source code or trade secrets through the website.