Artificial Intelligence | Machine Learning | Natural Language Processing VAPAR | Automate, standardise & Centralise Your Pipe Condition Assessments


Enterprise, Machine Learning, Computer Vision, Data Analytics, Video Analytics, Software Consulting Sydney, New South Wales, Australia

VAPAR

Artificial Intelligence | Machine Learning | Natural Language Processing


VAPAR | Automate, standardise & Centralise Your Pipe Condition Assessments

VAPAR

Machine Learning, Computer Vision, Data Analytics, Video Analytics, Software Consulting


Sydney, New South Wales, Australia

VAPAR is a cloud platform that automates condition assessment directly from pipe CCTV footage. VAPAR users enjoy superior accuracy in the tracking of maintenance and repair requirements for this infrastructure in addition to significant savings in associated labor costs.

Delivering the right technology to eliminate repetitive manual tasks in infrastructure management. We partner with our customers on their biggest challenges and use the latest technology to provide compelling solutions. We automate the fault detection in the CCTV inspection footage of underground sewer and stormwater pipes, speeding up pipe repairs and turning a 2-week process into a couple of minutes.

VAPAR was founded in January 2018 by two Australian engineers on a mission to automate manual tasks in asset management. Today, the VAPAR platform processes over two hundred thousand meters of wastewater infrastructure for dozens of clients across Australia, New Zealand, and the UK. Since its establishment, VAPAR has received over $1.2 million in funding from the Australian Government, NSW Government, and some of Australia’s most ambitious investors.

 

B2B

1 to 25

N/A

N/A

Scaling Up

2018

 
 

Information Technology and Services

Pipe Maintenance

Increase Productivity
Increase Efficiency

 
 

Analytics
Service

Yes

Active

 
 

   Machine Learning
   Natural Language Processing
   Automated Planning and Search


Asset Management

Asset Management


Image

Image

Video

Video

Structured

Structured

 

   Software


React/Typescript

React/Typescript

C/C++

C/C++

Java

Java

Python

Python


Machine Learning Algorithm

Machine Learning Algorithm

Deep Learning Algorithm

Deep Learning Algorithm

 
 

2

1

$2.5M

Company was founded 2018 and it took almost 4 years (Jun 2022) to raise first external round

 
 

Date

Round

$ Raised

Investors

06/08/2022

Seed

$2.5M

Sprint Ventures, Metagrove Ventures

Date : 06/08/2022

Round: Seed

$ Raised: $2.5M

Investors: Sprint Ventures, Metagrove Ventures

 

Investors

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Amanda Siqueira

Amanda Siqueira
Co-Founder & CEO

Michelle Aguilar

Michelle Aguilar
CTO and Co-founder

 
 

Potential Customers

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