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Conweigh

Conweigh

Go Back Location: Brisbane, QLD, Australia Industry: Logistics Stage: We have traction

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The supply chain and export shipping industry rely heavily on stationary or space-hogging and expensive equipment to weigh containers and other large ocean cargo. Mobile equipment such as cranes are too bulky and large to transport around, and the problem with stationary equipment is the sending of the item for weighing to it—a process not only taxing on time, money, and effort, but also places anything and anyone involved in the additional transport and handling at risk. With a new maritime law that requires shipping containers and other cargo for sea export to arrive at port with a Verified Gross Mass (VGM) weight certificate, the demand for weighing equipment use spiked, but to manufacture more of these large weighing equipment is not the solution.

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   Switch to Countries Board Cities Global Ranking of Startup Ecosystem   Go to 2019  
StartupBlink ranks more than 125 countries and 950 cities according to their startup ecosystem strength. Toggle between Countries/Cities ranking, search for a specific location, and download our PDF Ranking Report
2019 Rank
Country id
Population
Change (from 2017)
City Name
Total Score
Quantity Score
Quality Score
Business Score
1
1
9666055
0
San Francisco Bay, United States
262.878
33.37
222.21
7.30
2
1
21045000
0
New York, United States
55.938
3.88
44.76
7.30
3
5
7556900
0
London, United Kingdom
38.421
14.41
16.71
7.30
4
1
3971883
0
Los Angeles Area, United States
34.219
12.99
13.92
7.30
5
1
4771936
+1
Boston Area, United States
33.946
5.47
21.17
7.30
6
25
3098400
+1
Tel Aviv Area, Israel
23.942
2.60
14.04
7.30
7
29
3426354
-2
Berlin, Germany
22.322
3.18
11.84
7.30
8
1
2720546
0
Chicago, United States
18.412
4.86
6.25
7.30
9
1
684451
0
Seattle, United States
18.107
4.16
6.65
7.30
10
2
10381222
+4
Moscow, Russia
17.504
5.83
4.78
6.90
11
13
5104047
+10
Bangalore, India
17.070
3.95
5.82
7.30
12
8
2138551
-2
Paris, France
16.648
2.98
6.37
7.30
13
1
2168316
-1
Austin, United States
16.236
3.82
5.12
7.30
14
24
8336599
+15
Tokyo, Japan
15.764
1.09
7.38
7.30
15
7
2600000
-4
Toronto, Canada
15.732
4.48
3.95
7.30
16
27
741636
+2
Amsterdam, The Netherlands
15.569
1.75
6.52
7.30
17
45
11716620
-4
Beijing, China
15.213
0.93
7.78
6.50
18
13
26454000
+5
New Delhi, India
15.167
3.38
4.48
7.30
19
3
5029711
+6
Sydney, Australia
14.785
2.67
4.82
7.30
20
1
5700990
-4
Atlanta, United States
14.668
2.69
4.68
7.30
21
1
6158824
+12
Miami Area, United States
14.608
3.29
4.02
7.30
22
1
7539711
+16
Dallas-Fort Worth, United States
14.603
2.60
4.70
7.30
23
19
10021295
+8
Sao Paulo, Brazil
14.521
1.87
5.35
7.30
24
18
1515017
-9
Stockholm, Sweden
14.105
1.24
5.57
7.30
25
7
600000
-6
Vancouver, Canada
13.745
2.43
4.02
7.30
26
1
3283665
-6
San Diego, United States
13.698
2.59
3.80
7.30
27
14
1621537
-10
Barcelona, Spain
13.592
2.73
3.57
7.30
28
45
7482500
+7
Hong Kong, China
13.360
1.83
5.03
6.50
29
13
12691836
+3
Mumbai, India
12.900
2.09
3.51
7.30
30
72
10349312
-3
Seoul, South Korea
12.654
0.65
5.10
6.90
31
45
22315474
-9
Shanghai, China
12.488
0.87
5.11
6.50
32
32
5784538
+4
Singapore City, Singapore
12.146
0.45
4.79
6.90
33
14
3255944
-7
Madrid, Spain
12.069
1.98
2.79
7.30
34
43
2900920
+29
Kiev, Ukraine
11.711
1.32
3.10
7.30
35
3
4963349
-5
Melbourne, Australia
11.300
2.25
1.75
7.30
36
46
1488236
+26
Helsinki, Finland
11.245
0.81
3.13
7.30
37
1
682545
+3
Denver, United States
11.108
1.57
2.23
7.30
38
1
6065644
-1
Philadelphia, United States
10.685
1.73
1.65
7.30
39
51
8540121
+121
Jakarta, Indonesia
10.463
0.54
3.02
6.90
40
45
10358381
+12
Shenzhen, China
10.426
0.23
3.70
6.50
41
29
1260391
+23
Munich, Germany
10.388
0.80
2.29
7.30
42
1
4561038
+19
Phoenix, United States
10.356
1.36
1.69
7.30
43
1
2382037
-15
Portland, United States
10.221
1.75
1.17
7.30
44
20
1024027
-3
Dublin, Ireland
10.181
1.10
1.78
7.30
45
1
6133552
-3
Washington DC Area, United States
10.145
1.34
1.51
7.30
46
1
2117103
+48
Raleigh Durham, United States
10.135
0.82
2.01
7.30
47
28
12294193
+46
Mexico City, Mexico
10.059
0.24
2.52
7.30
48
15
13076300
+12
Buenos Aires, Argentina
10.006
1.30
1.41
7.30
49
7
1600000
-15
Montreal, Canada
9.961
1.62
1.04
7.30
50
1
2427024
+27
Charlotte, United States
9.777
0.80
1.68
7.30
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