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Travtus

AI solutions for residential Real Estate residents

Travtus logo
21-100 employees
  • Property
  • B2B
  • Artificial Intelligence
  • Enterprise
  • Analytics
  • Real Estate
  • Machine Learning
  • SaaS
  • Data Integration
  • Strategic Intelligence
City of London, London, UK

Company mission

To revolutionise the Multifamily Operations market by unlocking the power of conversational data

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Our take

With rising interest rates and a global labour shortage, mutli-property real estate operators are having a hard time servicing their properties effectively and within budget. At the same time, tenants are not having their needs met, with legacy communications systems leading to poor response times and frustrations around repairs and lease renewals. Enter Travtus, a startup providing an AI teammate to support management teams and respond automatically to renters' concerns.

While other tools exist for real estate operators, these are mostly modified customer relationship management tools and chatbots. As a machine learning-trained assistant, Travtus' solution stands alone in its market niche. Led by a founding team with a lot of experience in the real estate sector, its product not only covers tenant relationships but automates a wide variety of management tasks, allowing real estate businesses to focus on essential operations.

In 2022, Travtus completed a seed funding round led by RET Ventures. It will use this investment to increase its marketing reach and to continue to develop its product. As market forces continue to squeeze both property owners and tenants, it seems likely that Travtus' solution will be increasingly valued.

Freddie headshot

Freddie

Company Specialist at Welcome to the Jungle

Benefits

  • Workplace pension

Company values

  • Care about the job
  • Respect each other
  • No douchebags

Funding (last 2 of 5 rounds)

Nov 2022

$4m

SEED

Oct 2018

$0.7m

SEED

Total funding: $6.2m

Leadership

CEO of Travtus, dedicated to transforming operations in the residential real estate industry through the adoption of machine learning.

Cofounder with 13+ years of product development and delivery to banks and financial institutions across the world. Ex-RedCloud, Ex-Experian.