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Qflow

Qflow

Qflow is a construction data platform founded in 2018 by Jade Cohen.

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Contents

qualisflow.com
Is a
Organization
Organization
Company
Company

Company attributes

Industry
Construction
Construction
Manufacturing
Manufacturing
Industrial
Industrial
Analytics
Analytics
Internet of things (IoT)
Internet of things (IoT)
Sustainability
Sustainability
Business intelligence (BI)
Business intelligence (BI)
Software as a service (SaaS)
Software as a service (SaaS)
...
Location
London
London
B2X
B2B
B2B
CEO
‌
Brittany Harris Fice
Founder
Jade Cohen
Jade Cohen
‌
Brittany Harris Fice
AngelList URL
angel.co/company/qualis-flow
Pitchbook URL
pitchbook.com/profiles...264634-57
Legal Name
Qualis Flow Limited
Accelerator
Geovation
Geovation
Entrepreneurs First
Entrepreneurs First
Accelerator Batch
‌
Entrepreneur First London 10
Date Incorporated
2018
Number of Employees (Ranges)
11 – 50
Email Address
support@qualisflow.com
Investors
Autodesk
Autodesk
Entrepreneurs First
Entrepreneurs First
Ascension Ventures
Ascension Ventures
MMC Ventures
MMC Ventures
Pi Labs
Pi Labs
SYSTEMIQ
SYSTEMIQ
Founded Date
July 20, 2018
Total Funding Amount (USD)
2,800,000
Latest Funding Round Date
February 2, 2026
Competitors
Wicket (company)
Wicket (company)
Also Known As
Qualis Flow
Latest Funding Type
‌
Venture round
Wellfound ID
qualis-flow
Country
United Kingdom
United Kingdom
Headquarters
London
London

Other attributes

Company Operating Status
Active
Latest Funding Round Amount (USD)
2,800,000
Written in
London

Qflow is a London-based construction technology company with a stated mission of transforming the way society builds its cities by utilizing real-time data to analyze and predict the social and environmental impacts of construction projects. The company states that it is capable of reducing costs and saving contractors time on their construction projects. Its technology is available through on a platform which is created from cloud-based software.

Product

The company has a platform that acts as an artificial intelligence sustainability assistant. It uses historical data and machine learning to predict environmental risks when planning a construction project. If there should be any risks, the software is capable of outputting corrective recommendations for the client.

Other features of the platform include a tool that ensures industry compliance and another tool that allows clients to optimize decision-making while staying within legal and contractual requirements. It also has standardized reporting which is done through automated data collection and analyzing.

Timeline

No Timeline data yet.

Funding Rounds

Products

Acquisitions

SBIR/STTR Awards

Patents

Further Resources

Title
Author
Link
Type
Date
No Further Resources data yet.

References

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