Datamoto vs HARNESS Data Intelligence: Revenue, Funding & Team Size Compared
Datamoto generates $550K in revenue; HARNESS Data Intelligence generates $542K. Datamoto and HARNESS Data Intelligence are close to the same size by revenue. The table below compares Datamoto and HARNESS Data Intelligence on funding, valuation, customers, team size and headquarters — every figure GetLatka has verified for each company.
| Company | ||
|---|---|---|
| Revenue | $550K | $542K |
| Funding raised | Not disclosed | $3.8M |
| Team size | 5 | 8 |
| Founded | Not disclosed | 2016 |
| HQ | Palo Alto, United States | London, United Kingdom |
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Datamoto at a glance
Datamoto generates $550K in revenue with 5 employees, headquartered in Palo Alto, United States.
- Revenue
- $550K
- Team size
- 5
Implementing an order and inventory management application for small and medium-sized B2B businesses is complex, needs trained manpower to run, and the cost of ownership is high. Datamoto provides SaaS applications that are consumer-grade…
HARNESS Data Intelligence at a glance
HARNESS Data Intelligence generates $542K in revenue with 8 employees, headquartered in London, United Kingdom.
- Revenue
- $542K
- Funding
- $3.8M
- Team size
- 8
- Founded
- 2016
Commercial Real Estate Data Intelligence
Other Datamoto alternatives
Datamoto competes with more than the companies on this page. Browse the full alternative lists to compare revenue, funding and team size across the category.
Datamoto vs HARNESS Data Intelligence: frequently asked questions
Is Datamoto or HARNESS Data Intelligence bigger?
Datamoto is the bigger company by revenue, at $550K against $542K for HARNESS Data Intelligence.
How much revenue does Datamoto make?
Datamoto generates $550K in annual revenue with a team of 5.
How much revenue does HARNESS Data Intelligence make?
HARNESS Data Intelligence generates $542K in annual revenue with a team of 8.
How much funding has HARNESS Data Intelligence raised?
HARNESS Data Intelligence has raised $3.8M in total funding since it was founded in 2016.