The AFA Group company source record lists 19 employees. The visible AFA Group management graph includes:
Chan Tzy Liang
Director at Afa Group
0
0
General
(5)
Soon Ee Tan
Co-founder at Afa Group
0
0
Finance
(2)
Pauline Nishalini
Bachelor of Commerce (Hons) Accounting
0
0
Sales
(2)
Chan Tzy
Account Manager at Afa Group
0
0
Related company intelligence for AFA Group
1 same-industry peer
8 with employee estimates
8 with websites
8 with social profiles
4 peer evidence types
Peer evidence source coverage
4 source-backed evidence types support this related-company graph.
same-industry peers, employee benchmarks, website records, and social profiles
Same-industry peers
1 / 8
1 of 8 related companies shares this company's industry classification.
Employee benchmarks
8 / 8
8 of 8 related companies include employee estimates.
Website records
8 / 8
8 of 8 related companies include official website records.
Social profiles
8 / 8
8 of 8 related companies include company social profile signals.
Peer link quality filter
Multi-signal peer link set
8 related companies met the 2-signal peer-link threshold; 2 candidate records were excluded before rendering. Eligible peers average 3.9 source-backed signals.
8
eligible
2
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
Smaller than most related peers
This company
19 employees
Related peers
95 median peer employees
6 of 8 related employee-estimated peers are higher.
8 related companies with employee estimates
Peer graph evidence
Multi-signal peer benchmark evidence
This company
Benchmark-ready peer graph
Related peers
3 benchmark dimensions
Peer benchmark combines 8 related companies with peer graph strength, size benchmark, and size position. Underlying peer graph includes 4 evidence types: industry context, employee benchmarks, website records, social profiles.
industry context, employee benchmarks, website records, social profiles
Peer benchmark evidence
Multi-signal peer benchmark evidence
Peer benchmark combines 8 related companies with peer graph strength, size benchmark, and size position. Underlying peer graph includes 4 evidence types: industry context, 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 25% of 8 comparable related peers.
Directional peer-position evidence:
Peer-position evidence combines employee scale above 25% of 8 comparable related peers from related-company records.
Employee scale: 25%
Peer graph strength
Benchmark-ready peer graph
Related peer graph has industry context, employee benchmarks, website records, and social profiles across 8 related companies.
Peer median size
95 employees
Largest peer by size
PwC Malaysia
2.62K employees
AFA Group size signal
19 employees
Peer size comparison
6 larger · 2 smaller
Peer scale position
Smaller than most related peers
6 of 8 related employee-estimated peers are higher.
AFA Group people graph sample
-
Wan Jing Soe
Account Associate
Johore, Malaysia -
Ir. Maslinda M.
P.eng, Vice President Project
Selangor, Malaysia -
Khai Sean Chan
Not Your Typical Audit Partner. Speak
Johor Bahru, Johore, Malaysia -
Nur Akkidd Abdul Razak
Work with Passion
Johore, Malaysia
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.
Account research
AeroLeads intelligence
Review account research for AFA Group
Account research checklist combines buying-committee coverage, ICP fit, related-company graph, domain trust, and people graph depth; raw contact values are hidden.