The Perlas Network company source record lists 60 employees. The visible Perlas Network management graph includes:
Tadas Malinauskas
Sales Director at Jsc Perlas Network
1
0
General
(8)
Laura Skrebyte
Category Manager (Scratch Cards & E-games)
3
0
Marketing
(5)
Lina Masaliene
Brand Manager at Perlas Network
1
0
Operations
(1)
Akvile Petrulyte
Lottery Operations Manager @ Perlas Network
0
0
Related company intelligence for Perlas Network
9 with employee estimates
10 with websites
10 with social profiles
3 peer evidence types
Peer evidence source coverage
3 source-backed evidence types support this related-company graph.
employee benchmarks, website records, and social profiles
Employee benchmarks
9 / 10
9 of 10 related companies include employee estimates.
Website records
10 / 10
10 of 10 related companies include official website records.
Social profiles
10 / 10
10 of 10 related companies include company social profile signals.
Peer link quality filter
Multi-signal peer link set
10 related companies met the 2-signal peer-link threshold. Eligible peers average 3.9 source-backed signals.
10
eligible
0
filtered
3.9
avg signals
Peer comparison matrix
Limited peer comparison
Compares this company with related-company evidence across employee scale and peer graph evidence.
employee scale and peer graph evidence
Employee scale
Larger than most related peers
This company
60 employees
Related peers
34 median peer employees
7 of 9 related employee-estimated peers are lower.
9 related companies with employee estimates
Peer graph evidence
Multi-signal peer benchmark evidence
This company
Partial peer evidence graph
Related peers
3 benchmark dimensions
Peer benchmark combines 10 related companies with peer graph strength, size benchmark, and size position. Underlying peer graph includes 3 evidence types: employee benchmarks, website records, social profiles.
employee benchmarks, website records, social profiles
Peer benchmark evidence
Multi-signal peer benchmark evidence
Peer benchmark combines 10 related companies with peer graph strength, size benchmark, and size position. Underlying peer graph includes 3 evidence types: employee benchmarks, website records, social profiles.
peer graph strength
size benchmark
size position
Peer position benchmark
Employee-scale peer position benchmark
Peer-position benchmark shows employee scale above 77.8% of 9 comparable related peers.
Directional peer-position evidence:
Peer-position evidence combines employee scale above 77.8% of 9 comparable related peers from related-company records.
Employee scale: 77.8%
Peer graph strength
Partial peer evidence graph
Related peer graph has employee benchmarks, website records, and social profiles across 10 related companies.
Peer median size
34 employees
Largest peer by size
NKT
3.51K employees
Perlas Network size signal
60 employees
Peer size comparison
2 larger · 7 smaller
Peer scale position
Larger than most related peers
7 of 9 related employee-estimated peers are lower.
Perlas Network people graph sample
-
Linas Misiunas
Lithuania3 email signals: 1 email signal on perlasnetwork.lt, 2 non-official email signals -
Ramunė Tumasonytė
Retention & CRM Manager @ Loto.lt
Vilnius, Vilniaus, Lithuania1 email signal across 1 non-official domain1 phone signal available
-
Jurgita Petraitiene
Lithuania2 email signals across 1 non-official domain
How AeroLeads builds company intelligence
Use source-backed company records
AeroLeads combines company source fields, workforce samples, email-pattern aggregates, and related-company records when those signals are available.
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Blank source fields are omitted. Contact channels are summarized as signals, with raw email addresses and phone numbers masked on public pages.
Compare useful company context
Related company, market, workforce, technology, and management signals help turn a static company listing into a company intelligence page.
Contact research
AeroLeads intelligence
Review reachable contact coverage for Perlas Network
AeroLeads maps 3 visible contact signals for Perlas Network. Coverage is multi-channel contact coverage.