The Win Technologies company source record lists 104 employees. The visible Win Technologies management graph includes:
Irfan Zargar
CEO at Win Technologies
0
0
General
(46)
Jokan Jokanovic
Manager at Win Technologies
0
0
IT
(10)
Ricardo Harris
Technical Lead at Win Technologies
0
0
Marketing
(7)
Babett Benedekffy
Content Manager at Win Technologies
0
0
Sales
(6)
Julia Rose
Vip Account Manager at Win Technologies
1
0
Healthcare
(2)
Daine Wils
Nurse at Win Technologies
1
0
Finance
(1)
Jade Verstraten
Financial Accountant
0
0
HR
(1)
Lyndsey Foster
Global Senior HR Administrator
0
0
Related company intelligence for Win Technologies
9 with employee estimates
9 with websites
9 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 / 9
9 of 9 related companies include employee estimates.
Website records
9 / 9
9 of 9 related companies include official website records.
Social profiles
9 / 9
9 of 9 related companies include company social profile signals.
Peer link quality filter
High-confidence peer link set
9 related companies met the 2-signal peer-link threshold; 1 candidate record was excluded before rendering. Eligible peers average 4.0 source-backed signals.
9
eligible
1
filtered
4.0
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
Smaller than most related peers
This company
104 employees
Related peers
790 median peer employees
8 of 9 related employee-estimated peers are higher.
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 9 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 9 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 11.1% of 9 comparable related peers.
Directional peer-position evidence:
Peer-position evidence combines employee scale above 11.1% of 9 comparable related peers from related-company records.
Employee scale: 11.1%
Peer graph strength
Partial peer evidence graph
Related peer graph has employee benchmarks, website records, and social profiles across 9 related companies.
Peer median size
790 employees
Largest peer by size
Sky
35.71K employees
Win Technologies size signal
104 employees
Peer size comparison
8 larger · 1 smaller
Peer scale position
Smaller than most related peers
8 of 9 related employee-estimated peers are higher.
Win Technologies people graph sample
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Olga Garcia
Graphic Designer & Concept Artist
London, England, United Kingdom -
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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.
Account research
AeroLeads intelligence
Review account research for Win Technologies
Account research checklist combines best covered outreach path, buying-committee coverage, ICP fit, technology workforce evidence, related-company graph, and domain trust; raw contact values are hidden.