AeroLeads maps 5 IT employee signals for mindSHIFT Technologies. The strongest visible leadership sample is Damian Csakai (Customer Engineer Ii at Mindshift Technologies).
mindSHIFT Technologies's IT Department
Damian Csakai
Customer Engineer Ii at Mindshift Technologies
3
0
Related company intelligence for mindSHIFT Technologies
10 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
10 / 10
10 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
High-confidence peer link set
10 related companies met the 2-signal peer-link threshold. Eligible peers average 4.0 source-backed signals.
10
eligible
0
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
38 employees
Related peers
876 median peer employees
7 of 10 related employee-estimated peers are higher.
10 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 30% of 10 comparable related peers.
Directional peer-position evidence:
Peer-position evidence combines employee scale above 30% of 10 comparable related peers from related-company records.
Employee scale: 30%
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
876 employees
Largest peer by size
Ricoh USA, Inc.
18.51K employees
mindSHIFT Technologies size signal
38 employees
Peer size comparison
7 larger · 3 smaller
Peer scale position
Smaller than most related peers
7 of 10 related employee-estimated peers are higher.
mindSHIFT Technologies people graph sample
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Matthew Fredette
Managing Director Mindshift
Boston, Massachusetts, United States2 email signals across 1 non-official domain4 phone signals available
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Hasan Banks
Clearwater, Florida, United States2 email signals across 2 non-official domains1 phone signal available
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Mark Charette
Greater Hartford, United States6 email signals across 3 non-official domains
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.
Show only available evidence
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 mindSHIFT Technologies
AeroLeads maps 3 visible contact signals for mindSHIFT Technologies. Coverage is multi-channel contact coverage.