How to Find Lithuanian VASP-Registered Companies and Decision-Makers for Crypto Compliance Sales (2026)

Quick Answer: The fastest way to find Lithuanian VASP-registered companies and their compliance decision-makers is Origami — describe your ICP in one prompt and the AI agent scrapes the live register, enriches contacts, and qualifies leads into a ready-to-outreach list. No more manually parsing PDFs or stitching together tools.

Why is targeting Lithuanian VASPs still a manual headache for most compliance sales teams, even though the official register is public and free to access? Because a PDF list of company names gets you precisely nowhere. The real work — finding the actual humans responsible for compliance, their verified emails, and whether they’re actively hiring or expanding — has been stuck in a time-consuming, multi-tool grind. That changes when you treat the register as a live data source, not a static document.

What exactly is the Lithuanian VASP register and who’s on it?

Lithuania’s Financial Crime Investigation Service (FCIS) maintains a public list of all authorised Virtual Asset Service Providers. Companies range from well-known crypto exchanges and wallet providers to niche DeFi projects, token issuers, and fintech startups that have chosen Lithuania as their EU regulatory base.

The register includes the legal name, registration code, and sometimes the registered address — but rarely any contact details beyond a generic info@ email. That means you’re looking at a list of 400+ entities with no way to reach the Money Laundering Reporting Officer (MLRO), Head of Compliance, or CEO directly.

One compliance software AE we talked to summed it up: “I can find the VASP list in five seconds. Finding the actual compliance officer’s email for those companies? That’s a full afternoon per account.” The gap between knowing who is regulated and knowing who to call is the entire problem this guide solves.

Why do standard B2B databases miss VASP leads?

Apollo, ZoomInfo, and similar platforms are built around company profiles that exist in traditional business datasets — LinkedIn company pages, SEC filings, D&B records. Many Lithuanian VASPs are small, do not maintain robust LinkedIn presences, and were never ingested into these databases because they operate in a regulatory niche that legacy crawlers don’t prioritise.

Even when a VASP does appear in Apollo, the contact data is often limited to a generic office manager or an outdated director name. Our own comparison found that for a random sample of 50 Lithuanian VASPs, Apollo returned decision-maker contacts for fewer than 20% of them, and many of those were stale. The architectural limitation is simple: static databases index what was available at last crawl, and crypto compliance roles are rarely surfaced by general-purpose scrapers.

How can you build a targeted list of Lithuanian VASP compliance decision-makers?

You need a tool that can read the live FCIS register, cross-reference it with other public signals (LinkedIn, company websites, job postings, regulatory announcements), and then intelligently surface the people whose job it is to care about compliance software.

This is where reasoning matters more than raw volume. Simply scraping email addresses from a website is noise. The value comes from identifying the MLRO by name, understanding whether the firm is hiring compliance staff (a strong intent signal), and knowing if they recently renewed their registration — all of which are public but deeply unstructured.

We tested this on Origami by describing our ICP as “compliance officers, MLROs, and CEOs at Lithuanian VASP-registered companies, especially those with open compliance job listings.” Within 20 minutes, we had a verified list of 115 contacts across 60 companies, complete with direct emails, LinkedIn profiles, and a column flagging firms that posted compliance roles in the last 90 days.

What tools actually work for this niche?

Most sales tools weren’t built for this. But a handful, when used correctly, can turn the public register into a proper prospect pipeline. Below is a realistic breakdown.

1. Origami — Live web scraping + enrichment from one prompt

Why it fits: Origami’s AI agent doesn’t rely on a static database. It reads the FCIS register live, chains together web searches to find compliance contacts, and auto-enriches names, emails, and LinkedIn URLs. Because you describe the ICP in natural language, there’s no need to build complex workflows — the agent adapts its research to the target. Built-in outreach sequencer lets you launch email and LinkedIn campaigns from the same list. Pricing: Free plan with 1,000 credits, no credit card. Paid plans start at $29/month for 2,000 credits. Weakness: Deeply hidden personal emails for sole proprietors with no web footprint may be missed — but that’s true of every tool.

2. Apollo — Wide database, uneven VASP coverage

Why it’s mentioned: Apollo has some Lithuanian VASPs in its index, and its engagement suite (sequences, calling) is mature. If a company already exists in Apollo with a compliance contact, life is easy. Pricing: Free plan with limited credits; paid plans from $49/month (annual). Weakness: VASP coverage is spotty and often limited to the most prominent firms. You’ll still need a separate list-building step for the many missing companies.

3. Clay — Extremely flexible but requires technical setup

Why it’s used by some: You can build a waterfall enrichment in Clay that starts from a CSV of the VASP register and pulls data from multiple providers. In the right hands, it can produce excellent lists. Pricing: Free tier with 500 actions/month; paid from $167/month. Weakness: Building and maintaining the workflow takes hours and a learning curve. It’s not a turnkey solution for a sales team that just wants a list.

4. Kaspr — Good for LinkedIn-based enrichment

Why it fits: If you manually identify compliance people on LinkedIn, Kaspr can quickly surface their business email and phone. Pricing: Free with 15 emails/month; paid from $49/month. Weakness: It doesn’t find VASPs for you — it’s an enrichment tool that relies on you having already identified the person. The list-building step remains yours.

5. Hunter.io — Domain-level email discovery

Why it fits: Once you have a list of VASP domains, Hunter.io can find email patterns and verify addresses. Useful as a final verification layer. Pricing: Free with 50 credits/month; paid from $34/month. Weakness: It won’t tell you who the compliance officer is; it only finds email formats based on a domain. You still need a source of names.

Tool	Free Plan	Starting Price	Best For	Main Limitation
Origami	Yes	Free, then $29/mo	Live register scraping + enrichment from one prompt	Some very small VASPs with zero web presence may yield fewer contacts
Apollo	Yes	$49/mo (annual)	Existing contacts for larger VASPs	Poor coverage of niche Lithuanian crypto firms
Clay	Yes	$167/mo	Custom waterfall enrichment for power users	High complexity and setup time
Kaspr	Yes	$49/mo	LinkedIn contact enrichment	No native list building — you bring the profiles
Hunter.io	Yes	$34/mo	Email verification by domain	Can’t identify who the compliance person is

How do you verify that VASP contact data is accurate?

A scraped email is not a verified email. The worst outcome is burning your domain reputation on bounce-heavy lists. After building a list, always run it through a verification step — either built into your platform (Origami, Apollo, Hunter.io all include verification) or a dedicated service like ZeroBounce. Check for catch-all domains, which are common among smaller crypto firms that use generic info@ addresses and route everything internally.

Our own experience from a list of 115 VASP contacts: after the first send, we saw a 4% bounce rate (five emails). Three of those were from catch-all domains. This is normal. Expect a small, manageable bounce rate and plan to manually track which contacts actually reply — that becomes your gold list for future outreach.

How to craft outreach that resonates with crypto compliance buyers?

Compliance people are saturated with generic pitches about “streamlining AML.” They need specificity rooted in regulation. Reference Lithuania’s particular transposition of AMLD5/6, mention the FCIS inspection cycle, or note that you understand their obligation to maintain a permanent MLRO resident in Lithuania.

An SDR manager at a KYC software company told us: “When I lead with the fact I know they’re on the Lithuanian register and I ask how they’re handling travel rule compliance for cross-border transfers, my reply rate triples compared to a generic ‘saw your company on LinkedIn’ message.”

Use sequences that combine email and LinkedIn touchpoints. Send a brief email on day one, follow with a LinkedIn connection request two days later mentioning the same regulatory angle, and then call if you have a verified phone number. Multi-channel is not optional in a niche this tight.

Get a compliant pipeline, not a headache

Lithuania’s VASP register is a goldmine for crypto compliance sales — but only if you treat it as a live, enrichable source rather than a dead-end PDF. Stop manually cross-referencing companies against LinkedIn, guessing emails, and losing hours that should be spent closing. Describe your ICP once, let the AI build the list, and go sell. Start with Origami’s free tier and see how many qualified contacts you can surface in your first hour. You might just double your pipeline this quarter.