Redefining
Deal Origination
with AI Agents
Use Velari to find the off-market companies that your current tools are missing.
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TRUSTED BY EUROPEAN PE
Built by researchers from
ResultsTrusted to surface off-market targets
Trusted to surface off-market targets
missed by traditional sourcing methods.
Case Study
Add-on thesis in a niche software vertical for a global top-10 PE firm.
Thesis criteria
Primary business model includes the niche software vertical. Company is headquartered in a specific European country, is not owned by a strategic, is not a public company and has > €2m EBITDA.
3 leading platforms
0
relevant results returned
Velari
15
companies matched the full thesis
TestimonialCecilia Lopez:
Founder, Gaman Succession
Former Principal, KKR
Founder, Gaman Succession
Former Principal, KKR
“I've been impressed by Velari's ability to surface target companies across Europe that were not visible through traditional sourcing methods.
Beyond breadth, what stands out is the depth of analysis: Velari assesses companies against investment criteria that conventional databases often miss: recurring revenue, nuanced business models and detailed ownership characteristics, all from information available pre-NDA.
It gives us confidence that we are working from one of the most complete market maps available today.”
“Velari gives us targeted sourcing against a narrow ownership and financial profile in a niche European segment, identifying matching targets around 10x faster than we could ourselves.”
“We have automated a lot of processes internally, but we choose to go with Velari because their pragmatic approach delivers the best results and it would be impractical and expensive to replicate ourselves.”
“Velari has been especially valuable because its product effectively consolidates several tools we had previously been using separately, while producing higher-quality outputs than any of those tools individually.”
ProductFresh deep research on every company,
Fresh deep research on every company,
for every thesis.
Velari narrows broad company universes into thesis-matched, outreach-ready acquisition targets.
InputThesis & initial filterExample initial filter: FR/ES, 20+ FTEs
Example thesis
- HVAC sector: installation, maintenance and/or production of components
- Minimum 10% 3yr revenue CAGR (headcount growth proxy used if not disclosing revenue)
- Founder/family owned or industrial group subsidiary
- Not owned by an investment fund
- CEO over 60 years old
Stage 01Business model analysisWeb search + website scrape
~151,300 companies analysed
~2,600 matches
Stage 02Financial analysisEuropean financial data
~2,600 companies analysed
~590 matches
Stage 03Ownership analysisEuropean ownership data
~590 companies analysed
~110 matches
OutputTarget enrichment~110 high-conviction targets
Delivered per target
- Owner & management verified contact information
- Deep-dive competitor map
- 10-year transaction history
Input
Example initial filter
- Headquartered in France or Spain, 20+ employees
Example thesis
- HVAC sector: installation, maintenance and/or production of components
- Minimum 10% 3yr revenue CAGR (headcount growth proxy used if not disclosing revenue)
- Founder/family owned or industrial group subsidiary
- Not owned by an investment fund
- CEO over 60 years old
Stage 01
Business model analysis
Web search + website scrape
~151,300 analysed~2,600 matches
Stage 02
Financial analysis
European financial data
~2,600 analysed~590 matches
Stage 03
Ownership analysis
European ownership data
~590 analysed~110 matches
Output
Example thesis matches
- ~110 high-conviction targets
Target enrichment
- Owner & management verified contact information
- Deep-dive competitor map
- 10-year transaction history
Capabilities
Built with compliant, institutional-grade security standards.
01 / Agents
Specialised AI agents
Accurate AI agents that analyse whether companies match your investment criteria - at the depth a human analyst would.
Capabilities
- Thesis matching against nuanced criteria
- Owner & management identification
- Company data enrichment
02 / Data
Proprietary dataset
An LLM-optimised database of European companies, built for the cases where traditional platforms under-deliver on coverage.
Foundations
- Comprehensive European coverage
- Structured for Velari's agents to operate on
- GDPR compliant, institutional-grade security
FAQ
Frequently asked questions
- What is Velari?
- Velari is an AI deal-origination platform for private equity and other thesis-driven investors. It turns a structured investment thesis into a researched shortlist of European companies, with cited evidence attached to every criterion evaluation. Investors describe their thesis (sector, business model, financial profile, ownership characteristics, geography), and a pipeline of specialised AI agents evaluates a large universe of European companies against every criterion.
- How accurate is Velari's screening?
- On a European screening benchmark of 1,050 hand-labelled judgements across a 21-criterion thesis, Velari reached 94.4% per-criterion accuracy, versus 87.5% for GPT-5.5 and 82.7% for Claude Opus 4.7 (both run with high reasoning and native web search). It got all 21 criteria right on 44% of companies, against 16% and 10% for those baselines. Full methodology and statistical detail are on our benchmark page.
- Who is Velari for?
- European private equity firms, family offices, search funds, corporate development teams, and investment banks running thesis-driven outbound sourcing, particularly mid-market, growth, and buy-and-build mandates where structured company databases under-deliver on coverage or on qualitative-criterion evaluation.
- What does Velari deliver for each company?
- For every high-conviction match, Velari delivers verified owner and management contact information, a competitor map, and a ten-year transaction history. Each company also carries a per-criterion verdict (matched, not matched, or needs human review) with cited evidence and reasoning, producing an auditable decision trail.
- How is Velari different from company databases?
- Velari evaluates qualitative thesis criteria (nuanced business model, recurring revenue, ownership characteristics) that filter-based databases cannot capture, and it surfaces private European companies absent from those databases. In one case for a global top-10 private equity firm, three leading sourcing platforms returned zero relevant results for a niche software add-on thesis; Velari surfaced 15 companies matching the full thesis.
- Is Velari GDPR compliant and secure?
- Yes. Velari is GDPR compliant with an institutional-grade security posture, including per-organisation data isolation with row-level access controls. Every criterion evaluation carries cited evidence, producing an auditable decision trail.
Send us one live thesis.
We'll show you the companies your current tools are missing.