Why V1

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We Solve the Problem Nobody Else Will Touch

There's a $10+ billion gap in the AI M&A market.

Traditional M&A firms require $3-5M+ in ARR before they'll represent you. But most valuable AI technology doesn't have revenue—it has strategic impact, proven performance, and clean IP.

Enterprises don't want operating companies.

They want proven technology, fast deployment, and competitive advantage without inheriting sales teams, customer support, or organizational overhead.

The result?

Billions in enterprise AI budget sits unused while battle-tested AI tech goes unsold.

The Market Nobody Serves

Traditional M&A: Built for $50M+ Exits

Traditional M&A operates on percentage-based fees (typically 3-10% of transaction value). This model only works economically at scale:

Minimum viable deal: $10-20M acquisition (generates $300K-2M in fees)
Requirement: $3-5M+ ARR, established revenue, customers, sales infrastructure
Timeline: 12-18 months from engagement to close
Focus: Operating companies with financial history and growth trajectories

This works for venture-backed SaaS companies. It doesn't work for AI technology assets.

What Enterprises Actually Want to Buy

When Fortune 500 companies acquire AI, they're not buying:

❌ Small operating businesses
❌ Customer support teams
❌ Sales infrastructure
❌ Organizational complexity

They're buying:

When Fortune 500 companies acquire AI, they're not buying:

✅ Proven technology that solves a specific strategic problem
✅ Clean IP with validated performance benchmarks
✅ Fast integration paths
✅ Competitive moats

The V1 Advantage: Speed, Focus, Execution

1. We're Not Constrained by Traditional M&A Economics

Traditional firms need large exits to justify their cost structure. V1 is purpose-built for $3-10M AI tech acquisitions—the deals nobody else will touch but enterprises desperately need.

2. We Speak Both Languages

1. We're Not Constrained by Traditional M&A Economics

Enterprise buyer psychology: How AI is evaluated, approved, and acquired inside Fortune 500 organizations (PwC background, enterprise consulting experience)
AI builder reality: What makes technology acquisition-ready vs. venture-scalable (serial entrepreneur, multiple tech exits)

We don't translate—we operate natively in both worlds.

3. We Focus Exclusively on Acquisition-Ready AI

1. We're Not Constrained by Traditional M&A Economics

4. Development & Buyer Engagement Run in Parallel

We're not trying to be everything. We don't do:

❌ Long-term company building
❌ Venture-scale growth strategies
❌ Consumer AI distribution
❌ Multi-year advisory contracts

We do one thing: Connect proven AI technology to Fortune 500 strategic buyers and close deals in 180 days.

4. Development & Buyer Engagement Run in Parallel

Traditional M&A waits until a company is "ready" (revenue, customers, operations) before starting buyer conversations.

V1 runs backwards: We identify the buyer first, then source or build technology designed explicitly for that strategic need. Acquisition conversations begin while tech is being validated.

Result: 180-day close cycles instead of 18-month processes.

5. Success-Based Model = Aligned Incentives

4. Development & Buyer Engagement Run in Parallel

5. Success-Based Model = Aligned Incentives

We don't get paid for reports, meetings, or "strategic advice." We get paid when deals close and funds wire.

This changes everything:

No incentive to drag out engagements
No misalignment on deal size or timing
No advisory fees that eat into transaction value

We win when you win. Period.

The Problem We Solve: Low-Market AI Transactions

The AI M&A market has a structural gap:

🔺 Top of Market ($50M+): Well-served by traditional M&A, investment banks, and corp dev teams. Venture-backed AI companies with $10M+ ARR, established customer bases, and growth trajectories.

🔻 Bottom of Market (<$1M): Acqui-hires, talent acquisitions, IP purchases. Small, informal deals handled internally by corp dev or legal teams.

❌ Middle Market ($3-10M): NOBODY SERVES THIS.

This is where most strategic AI value lives:

Proven technology with validated benchmarks
Clean IP and integration-ready architecture
Real enterprise impact but limited revenue
Too small for traditional M&A, too valuable to ignore

V1 owns this market.

Why This Matters Now

The Market Is Breaking Toward Acquisition

70% of businesses plan to acquire AI tech in next 36 months (Dentons 2025 AI M&A Report)
95% of internal AI pilots fail to deliver measurable returns (MIT Research)
Average enterprise AI build: 12-24 months, $2-5M+ investment, high failure risk

The shift is happening: Enterprises are done experimenting. They're buying.

But Traditional Pathways Are Broken

The Market Is Breaking Toward Acquisition

Internal builds: Too slow, too expensive, too uncertain
Venture-backed acquisitions: Requires $10M+ ARR, eliminates 90% of valuable AI tech
Traditional M&A: Won't touch deals under $10-20M transaction value

V1 is the first firm purpose-built for the new reality: Fast, strategic, acquisition-focused AI tech transfer.

Founding Partner

V1 is led by Christian Ferri, former PwC Tech Lead and serial entrepreneur with multiple technology exits.

Founder-market fit across three dimensions:

Enterprise buyer experience — How Fortune 500 companies evaluate and approve AI acquisitions
Technical execution — Building and packaging AI for fast validation and integration
Transaction mechanics — Structuring clean, fast deals that close without friction

V1 is fully self-funded. No outside investors, no capital cycles, no misaligned incentives. Just speed, execution, and results.

The V1 Thesis

Most AI technology doesn't need to be a venture-scale company.

It needs to be proven, validated, and matched to the right strategic buyer.

Enterprises don't need more pilots.

Most AI technology doesn't need to be a venture-scale company.

They need competitive advantage they can deploy in months, not years.

Traditional M&A won't solve this.

Most AI technology doesn't need to be a venture-scale company.

Traditional M&A won't solve this.

The economics don't work for $3-10M AI tech assets.

We Solve the Problem Nobody Else Will Touch

There's a $10+ billion gap in the AI M&A market.

Enterprises don't want operating companies.

The result?

V1 exists exclusively for this gap

The Market Nobody Serves

Traditional M&A: Built for $50M+ Exits

What Enterprises Actually Want to Buy

When Fortune 500 companies acquire AI, they're not buying:

When Fortune 500 companies acquire AI, they're not buying:

When Fortune 500 companies acquire AI, they're not buying:

They're buying:

When Fortune 500 companies acquire AI, they're not buying:

When Fortune 500 companies acquire AI, they're not buying:

The disconnect:

How We're Different

The V1 Advantage: Speed, Focus, Execution

1. We're Not Constrained by Traditional M&A Economics

1. We're Not Constrained by Traditional M&A Economics

1. We're Not Constrained by Traditional M&A Economics

2. We Speak Both Languages

1. We're Not Constrained by Traditional M&A Economics

1. We're Not Constrained by Traditional M&A Economics

3. We Focus Exclusively on Acquisition-Ready AI

1. We're Not Constrained by Traditional M&A Economics

4. Development & Buyer Engagement Run in Parallel

4. Development & Buyer Engagement Run in Parallel

4. Development & Buyer Engagement Run in Parallel

4. Development & Buyer Engagement Run in Parallel

5. Success-Based Model = Aligned Incentives

4. Development & Buyer Engagement Run in Parallel

5. Success-Based Model = Aligned Incentives

The Problem We Solve: Low-Market AI Transactions

The AI M&A market has a structural gap:

Why This Matters Now

The Market Is Breaking Toward Acquisition

The Market Is Breaking Toward Acquisition

The Market Is Breaking Toward Acquisition

But Traditional Pathways Are Broken

The Market Is Breaking Toward Acquisition

The Market Is Breaking Toward Acquisition

Founding Partner

The V1 Thesis

Most AI technology doesn't need to be a venture-scale company.

Most AI technology doesn't need to be a venture-scale company.

Most AI technology doesn't need to be a venture-scale company.

Enterprises don't need more pilots.

Most AI technology doesn't need to be a venture-scale company.

Most AI technology doesn't need to be a venture-scale company.

Traditional M&A won't solve this.

Most AI technology doesn't need to be a venture-scale company.

Traditional M&A won't solve this.

V1 exists because nobody else will.

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