FloodMapp Revenue and Competitors
Estimated Revenue & Valuation
- FloodMapp's estimated annual revenue is currently $3.8M per year.
- FloodMapp's estimated revenue per employee is $127,600
Employee Data
- FloodMapp has 30 Employees.
- FloodMapp grew their employee count by -6% last year.
FloodMapp's People
Name | Title | Email/Phone |
---|---|---|
1 | Data Scientist | Reveal Email/Phone |
2 | Co-founder and Chief Technology Officer | Reveal Email/Phone |
3 | Chief Customer Officer | Reveal Email/Phone |
4 | Software Engineering Manager | Reveal Email/Phone |
5 | Senior Software Engineer | Reveal Email/Phone |
6 | GIS Solution Specialist | Reveal Email/Phone |
7 | Senior Graphic Designer | Reveal Email/Phone |
8 | Graduate Flood Engineer | Reveal Email/Phone |
9 | Geographic Information Systems Analyst | Reveal Email/Phone |
10 | Account Executive and Senior Flood Engineer | Reveal Email/Phone |
FloodMapp Competitors & AlternativesAdd Company
Competitor Name | Revenue | Number of Employees | Employee Growth | Total Funding | Valuation |
---|---|---|---|---|---|
#1 | $13.3M | 92 | 100% | N/A | N/A |
What Is FloodMapp?
Enable true flood resilience with live flood data. FloodMapp is a world-first flood modelling solution purpose built for flood forecasting and early warning. Aimed at improving safety and preventing damage, FloodMapp provides highly accurate, real-time, property-level and dynamic flood inundation and depth insights for businesses exposed to flooding. This kind of data can enable risk mitigation and loss prevention, improve emergency management and situational awareness, as well as minimising business interruption and lost productivity, mitigating risk for staff and assets, effective loss prevention and minimising lost productivity. We predominantly service utilities, transport, mining, insurance and public sector. FloodMapp combines big data analytics, automation and machine learning techniques with novel hydrology and hydraulic models to achieve large-scale, rapid flood modelling. Our proprietary technology reads in real-time and forecasted rainfall and river height data, which our models use to estimate predicted peak river heights at scale at scale and generate large scale inundation mapping.
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Total Funding
30
Number of Employees
$3.8M
Revenue (est)
-6%
Employee Growth %
N/A
Valuation
N/A
Accelerator
Company Name | Revenue | Number of Employees | Employee Growth | Total Funding |
---|---|---|---|---|
#1 | $4.9M | 44 | 10% | N/A |
#2 | $10.9M | 47 | 24% | N/A |
#3 | N/A | 55 | 22% | N/A |
#4 | $3.5M | 60 | 28% | N/A |
#5 | $11.9M | 63 | 43% | N/A |