Dataloop AI vs ChannelNet: Revenue, Funding & Team Size Compared
Dataloop AI generates $3.5M in revenue; ChannelNet generates $3.5M. Dataloop AI and ChannelNet are close to the same size by revenue. The table below compares Dataloop AI and ChannelNet on funding, valuation, customers, team size and headquarters — every figure GetLatka has verified for each company.
| Company | ||
|---|---|---|
| Revenue | $3.5M | $3.5M |
| Valuation | $52.8M | Not disclosed |
| Funding raised | $16M | Not disclosed |
| Team size | 79 | 32 |
| Founded | 2017 | 1985 |
| HQ | Herzliya, Israel | Dearborn, United States |
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Dataloop AI at a glance
Dataloop AI generates $3.5M in revenue with 79 employees, headquartered in Herzliya, Israel.
- Revenue
- $3.5M
- Valuation
- $52.8M
- Funding
- $16M
- Team size
- 79
- Founded
- 2017
DataLoop's data management and annotation platform streamlines the process of generating machine consumable datasets out of raw visual data.
ChannelNet at a glance
ChannelNet generates $3.5M in revenue with 32 employees, headquartered in Dearborn, United States.
- Revenue
- $3.5M
- Team size
- 32
- Founded
- 1985
ChannelNet is a 37-year-old FinTech company who has created a personalization platform for the corporate Financial Institutions like Chase, GM Finance, Harley Davidson, but recognized a need not being met for other Financial Institutions…
Other Dataloop AI alternatives
Dataloop AI competes with more than the companies on this page. Browse the full alternative lists to compare revenue, funding and team size across the category.
Dataloop AI vs ChannelNet: frequently asked questions
Is Dataloop AI or ChannelNet bigger?
Dataloop AI is the bigger company by revenue, at $3.5M against $3.5M for ChannelNet.
How much revenue does Dataloop AI make?
Dataloop AI generates $3.5M in annual revenue with a team of 79.
How much revenue does ChannelNet make?
ChannelNet generates $3.5M in annual revenue with a team of 32.
How much funding has Dataloop AI raised?
Dataloop AI has raised $16M in total funding since it was founded in 2017.