TUBR raises £154k from angel investors to advance predictive food retail technology
The funding round includes support from Lifted Ventures to accelerate development of the TUBR Pulse platform.
Share allotment filed at Companies House
TUBR develops physics-based machine learning technology to deliver real-time predictive insights for food retailers. Based in Sheffield, the company helps operators handle sparse or incomplete data.
TUBR has raised £154k from angel investors, including backing from Lifted Ventures, to advance its real-time predictive platform for food retailers. The capital will be used to accelerate product development, expand the technical team and fund pilot programmes.
The Sheffield-based machine-learning innovator uses a physics-based modelling approach designed to generate accurate forecasts even when operational data is sparse or incomplete. Its flagship platform, TUBR Pulse, aims to help restaurants, cafés and grocery operators optimise staffing, reduce waste and streamline supply chains.
From the founder
"For years, operational teams have been forced to make decisions based on partial or unreliable data. With TUBR Pulse, we’re removing that barrier. Our technology gives businesses the confidence to act on real-time insights no matter how messy the data behind them may be."
Dash Tabor
Founder and CEO at TUBR
Investor perspective
"Dash and her team have developed a genuinely novel approach with the potential to transform how food retailers make daily decisions. We’re proud to support their growth at this crucial stage."
Jordan Dargue
Board Director, NorthInvest
Use of funds
- 01Continue product development
- 02Grow the team
- 03Fund the next phase of growth
