The AI-Native M&A
Marketplace
Invest, sell, or acquire AI companies — with institutional-grade due diligence in 15 minutes, pre-vetted assets, and deals matched to your thesis.
01 — Company Overview
The Opportunity
90% of acquirers miss quality AI deals — not because they lack expertise, but because they're too slow. We built the infrastructure to invest in, acquire, or sell AI companies before your competitors move.
Company overview, market opportunity, product, business model, financial projections, and ask.
"We compress 3 weeks of AI due diligence into 15 minutes — and take a cut of every deal that closes through our marketplace."
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Q1 2026
Concise investment thesis: problem, solution, market size, traction, team, terms.
Forwardable brief — designed for internal IC distribution. No sensitive data, all signal.
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Q1 2026
Long-term vision, core values, and strategic positioning in the AI M&A ecosystem.
Coming Soon
Q1 2026
02 — Product & Technology
10-Model AI Pipeline
Our founders' expertise, codified into AI. From data collection to investment recommendation in 10-15 minutes.
Technical deep-dive: 10 specialized models (M1-M10), data enrichment layer, LangGraph/LlamaIndex stack, 30+ data sources.
Each model solves one question: "Will this succeed?" "What's it worth?" "When to exit?" — all from a single URL input.
Coming Soon
Q1 2026
Live platform demo or recorded walkthrough showing the full analysis flow from URL input to investment recommendation.
Paste a startup URL → watch 10 models run in real-time → get a scored investment recommendation in 10-15 minutes.
Coming Soon
Q1 2026
Full M1-M10 output for a sample company — showing what investors get in 10-15 minutes.
Industrial AI startup: scored 52/100, valued at €2-4.5M, strategic acquirer flagged, 2.3x probability boost from founder network pattern.
Coming Soon
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How we compare to PitchBook, Crunchbase, AngelList, and traditional M&A advisors. What makes us defensible.
PitchBook gives you data. We give you a verdict — pre-vetted, de-risked, matched to your thesis. 15 minutes, not 3 weeks.
Coming Soon
Q1 2026
03 — AI Technology & Data AI-Specific
What's Under the Hood
The 6 sections below are what separate AI company data rooms from generic ones. No competitor includes these out of the box.
Standardized documentation per OECD/Google format: model type, training methodology, performance benchmarks, known limitations, intended use cases.
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GPU COGS as % of revenue, cost-per-analysis, gross margin bridge, training vs. inference cost split, API price sensitivity scenarios.
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Every third-party API mapped: provider, version, pricing terms, ToS risks, fallback plan. Multi-provider migration capability documented.
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Training data inventory with sources, licenses, acquisition dates. Compliance status for web scraping, synthetic data, and API ToS. AI Bill of Materials (AIBOM).
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EU AI Act risk classification, NIST AI RMF alignment, responsible AI policy, incident response plan. Regulatory compliance roadmap.
Coming Soon
Software Bill of Materials, license policy matrix, copyleft risk assessment. Automated CI/CD scanning results.
Coming Soon
Why These Sections Matter
Our research shows that no data room platform or service offers AI-specific templates out of the box. Companies that present model cards, compute trajectories, and provenance audits alongside standard materials close faster and at higher valuations. Those that don't face 20%+ valuation discounts — or dead deals.
Our Mission
Integrate AI products, teams, and technologies into the enterprises that need them most. What the industry says:
"Every company will either be an AI company or be disrupted by one. The question is not IF you integrate AI — it's how fast."
— Industry consensus, 2025-2026
"The best AI acquisitions happen when the buyer understands the technology deeply enough to pay the right price — and the seller has the data to prove it."
— GetDeal.AI founding thesis
04 — Market Opportunity
Why Now
The AI M&A market is exploding. Traditional infrastructure can't keep pace.
The Speed Problem
Hot AI startups get 10+ acquirer calls per week. Traditional DD takes 3 weeks. Fast movers close in 88 hours. If you're still running manual due diligence on AI companies, you're losing deals to investors who aren't.
AI M&A deal volume, growth trends, addressable market segments, and GetDeal's target slice.
Coming Soon
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Buyer acquisition, seller acquisition, community strategy, referral model, and content flywheel.
Coming Soon
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05 — Traction & Proof Points
What We've Built & Proven
| Metric |
Status |
Details |
| Platform |
Version 2.0 — mid-April |
10-model pipeline live, 30+ data sources, transaction infrastructure finalizing |
| Investor Database |
2,916 |
AI-focused investors with detailed scraped profiles |
| Company Pipeline |
25K+ extractable |
Cherry-picked, not overwhelming — curated deal flow, not a dump |
| Analysis Speed |
10-15 min |
Full 10-model analysis per company, 60% faster on second company in same vertical |
| Active Mandates |
10 |
Across 7 industries — AI SaaS, industrial, fintech, e-commerce, trade, UX tools, VC funds |
| Portfolio Under Management |
$138M |
Total valuation of companies in our active pipeline |
| Revenue Potential |
$2.7M+ |
From current pipeline alone (subscriptions + success fees + advisory) |
| Engineering Synergy |
Validated |
Cone Red (AI Lab co-founded by Alex & Dima, 11 people) enables advisory → implementation revenue. Same client, two streams. |
14K+ merchant platform, $90M/q transaction volume, dual-asset positioning (company + portable AI technology), both advisory + engineering tracks confirmed.
2 discovery calls → strategy report → dual mandate confirmed. Both advisory AND engineering tracks activated. $370K projected client value.
Coming Soon
Q1 2026
M1-M10 pipeline output for manufacturing AI company. Full end-to-end analysis demonstrating platform capability — scored, valued, acquirers mapped.
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Q1 2026
The technology is built.
The pipeline is active.
The market is now.
06 — Founding Team
Complexity Expertise, Codified
Three founders span the full stack of AI M&A. Their expertise flows into GetDeal — and into the AI agents that scale it.
AK
Alex Korobeinikov
Platform & Technology
Deep-dives any tech stack, marketplace, or product architecture. CEO at Cone Red. Analyzed 40+ platforms.
→
DL
Dima Levin
AI & Innovation
Analysis, automation, system integration. Built the 10-model pipeline. 10+ years AI/ML. Co-founded Cone Red.
→
IV
Ihor Vlasov
M&A & Deal Closing
European fintech network. LP acquisition, deal structuring. Managed roadshows, closed $3M+ deals.
→
GD
GetDeal.AI
Combined Expertise
Platform + AI + M&A, unified into one product.
↓ ↓ ↓
We codify our expertise into AI agents that scale
Analysis Agent
Matching Agent
Due Diligence Agent
Valuation Agent
Product-driven. Not people-dependent.
Detailed backgrounds, track records, and links to professional profiles.
Coming Soon
Q1 2026
Monica Mkhitaryan (VC Partner), Cone Red engineering team, and strategic advisor network.
Coming Soon
Q1 2026
07 — Financials & Unit Economics
Revenue Model & Projections
Four Revenue Streams. Each Client Compounds.
1. Buyer subscriptions: $10K–$25K/yr for platform access and matched deals.
2. Seller monthly subscriptions: $5K–$20K/mo per company in pipeline (outreach, data room, AI audit, growth plan).
3. Success fees: 3–7% tiered on closed deals. A $5M deal = $270K.
4. ConeRed implementation: AI engineering to boost valuations before exit. ~$30K+ per engagement.
One Client, 9-Month Lifecycle
Monthly subscription (outreach + data room + AI audit): $10K/mo × 9 = $90K
ConeRed AI implementation (boost valuation): $30K
Success fee on $5M exit at 5%: $250K
Total per-client revenue: $370K
3-year revenue projections, unit economics, burn rate, and path to profitability.
4 revenue streams. $370K per client over 9-month lifecycle. 10 clients in pipeline = $1.2M/yr subscription MRR before any deal closes.
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Detailed allocation of $1.5M raise: GTM, platform, team, and operations.
GTM 40% | Platform completion 30% | Team 20% | Operations & Legal 10%
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Current equity split, option pool, and post-round dilution scenarios.
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Q1 2026
08 — Legal & Corporate
Corporate Structure
Delaware-incorporated US company. Invest under US legislation.
Certificate of incorporation, articles of association, registered jurisdiction.
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Roles, equity allocation, vesting schedules, IP assignment, decision-making framework.
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Q1 2026
IP rights from Cone Red engineers (alpha version) and current platform developers.
Coming Soon
Q1 2026
Platform terms, data handling, and GDPR compliance documentation.
Coming Soon
Q1 2026
09 — Roadmap & Milestones
What's Next
Q1–Q2 2026 — Launch & First Revenue
First Closed Deals
Platform Version 2.0 launches mid-April. Close first 3-5 M&A transactions ($2M-$10M). Onboard 50+ qualified buyers. Generate $500K+ in blended revenue. 10 mandates already active.
Q3–Q4 2026 — Scale & Prove
Deal Velocity + Market Position
15-20 mandates active. First $10M+ deals closed. Quarterly AI M&A market reports (thought leadership). Buyer network scaling through events and referral program across European startup communities.
2027 — Expand
The Marketplace Where Serious AI Deals Happen
Category leader in European AI M&A. US expansion. $50M+ GMV flowing through the platform. Enterprise tier for corporate M&A teams and PE firms.
10 — The Ask
$1.5M
Delaware-incorporated US company
Platform Version 2.0 launches mid-April.
10 mandates. $138M portfolio. $2.7M revenue potential.
We need capital to close the deals already in pipeline.
GTM & Deals 40% · Platform 30% · Team 20% · Ops & Legal 10%
Proposed investment structure and terms.
On Request
dima@getdeal.ai
ihor@getdeal.ai
Barcelona · Available now
Available
GetDeal.AI · Confidential · March 2026
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