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 works for venture-backed SaaS companies and only works economically at scale. It doesn’t work for AI technology assets.
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
What Enterprises Actually Want to Buy
They’re not buying:
They’re buying:
Small operating businesses
Proven technology that solves a specific strategic problem
Customer support teams
Clean IP with validated performance benchmarks
Sales infrastructure
Fast integration paths
Organizational complexity
Competitive moats
The disconnect:
Traditional M&A can’t economically serve AI assets under $10M, but most strategic AI acquisitions happen in the $3-8M range.
V1 is structured specifically for this market reality.
How We’re Different
features
Traditional M&A
V1 Venture Studio
Minimum Deal Size
$10-20M+
$3-10M sweet spot
Revenue Requirement
$3-5M+ ARR
No revenue required
What They Sell
Operating companies
Proven tech & IP
Timeline
12-18 months
180 days
Fee Structure
Percentage-based
(favors large exits)
Success-based
(optimized for tech assets)
Buyer Focus
General M&A outreach
Fortune 500 strategic buyers only
Asset Focus
Revenue, customers, operations
Technology, IP, validated performance
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
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
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
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:
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
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.
Why This Matters Now
The Market Is Breaking Toward Acquisition
of businesses plan to acquire AI tech in next 36 months (Dentons 2025 AI M&A Report)
of internal AI pilots fail to deliver measurable returns (MIT Research)
Average enterprise AI build, 12-24 months, high failure risk
The shift is happening: Enterprises are done experimenting. They’re buying.
But Traditional Pathways Are Broken
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.
Leadership
Founding Partner
Christian Ferri — Founding Partner
Former PwC Tech Lead and serial entrepreneur with multiple technology exits spanning enterprise consulting, startup execution, and M&A dealmaking.
Christian built V1 from a specific market insight: enterprises need AI capability now, but traditional pathways (internal builds, venture-backed acquisitions, standard M&A) are too slow, too expensive, or structurally misaligned. His background provides founder-market fit across three critical dimensions:
- Enterprise buyer psychology — How AI is evaluated, approved, and acquired inside Fortune 500 organizations
- Technical execution — Building and packaging technology for fast validation and integration
- Transaction mechanics — Structuring clean deals that close without friction
V1 is fully self-funded and operated, ensuring speed, alignment, and zero dependency on external capital cycles.
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
They need competitive advantage they can deploy in months, not years.
Traditional M&A won’t solve this
The economics don’t work for $3-10M AI tech assets.
This is why V1 exists
We bridge the gap
between proven AI technology and Fortune 500 strategic buyers.
We operate in the market everyone else ignores
And we close deals in 180 days.
