Artificial Intelligence | Machine Learning Findable | Automated Workflow for Building Documentation


Consumer, Enterprise, Building Documentation, Technology, Automation, Buiding Analytics Oslo , Norway

Findable

Artificial Intelligence | Machine Learning


Findable | Automated Workflow for Building Documentation

Findable

Building Documentation, Technology, Automation, Buiding Analytics


Oslo , Norway

Building documentation is the building's instruction manual. It is essential for facility management through the lifecycle of the building. For safety building, owners are legally required to keep the documentation in order. Documentation is important to ensure correct use, service, maintenance, rehabilitation, and due diligence in transactions. Estimates show that inefficient access to building information costs the building owner as much as €2/m2 yearly. There is a significant potential for more cost-efficient facility management.

At Findable, we have developed a document platform that automatically organizes building documentation. By utilizing artificial intelligence we sort the documentation according to standards with ~95 % precision, which even supersedes manual sorting consistency.

With the Findable Workbench, you can automatically organize existing and new documentation. This finally makes the documentation accessible and useable. The Workbench is accessible through APIs and integrates with your existing digital tools, such as Famac. The Workbench also delivers search functionality through all your documents.

 

B2B2C, B2C, B2B

1 to 25

N/A

N/A

Scaling Up

2020

 
 

Real Estate
Homebuilding

Easily Accessible Documents
Automatic Organizing

Increase Efficiency
Reduce Operational Cost
Increase Productivity

 
 

Analytics
Service

Yes

Active

 
 

   Machine Learning


Document Management

Document Management

Building Solutions

Building Solutions


Text

Text

Structured

Structured

 

   Software


Python

Python

AWS

AWS

Typescript

Typescript

React

React

Google Cloud

Google Cloud


Machine Learning Algorithm

Machine Learning Algorithm

Deep Learning Algorithm

Deep Learning Algorithm

 
 

3

1

$2.1M

Company was founded 2020 and it took almost 2 years (Jun 2022) to raise first external round

 
 

Date

Round

$ Raised

Investors

06/07/2022

Seed

$2.1M

Kompas, Construct Venture, Malling & Co Venture

Date : 06/07/2022

Round: Seed

$ Raised: $2.1M

Investors: Kompas, Construct Venture, Malling & Co Venture

 

Investors

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Fredrik Wisloff

Fredrik Wisloff
Co-founder & CEO

Sondre Pedersen

Sondre Pedersen
Co-Founder

Lars Aurdal

Lars Aurdal
Cofounder & CAIO

Linn Stokvik

Linn Stokvik
Co-Founder and Tech Lead

Knut Hellan

Knut Hellan
CTO

 
 

Potential Customers

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